This document summarizes an enhanced adaptive acknowledgement protocol for securing wireless sensor network communication. It begins by describing security challenges in WSNs like the wireless medium, hostile environments, and resource constraints. It then discusses common security attacks like black hole and grey hole attacks. Existing acknowledgement schemes like Watchdog, TWOACK, and AACK are explained along with their limitations in detecting such attacks. The document proposes an Enhanced Adaptive Acknowledgement (EAACK) scheme that uses ACK, Secure ACK, and Misbehavior Report Authentication to better detect attacks while reducing overhead. EAACK aims to securely detect black hole, grey hole, and false misbehavior reporting in wireless sensor networks.
Analysis of security threats in wireless sensor networkijwmn
Wireless Sensor Network(WSN) is an emerging technology and explored field of researchers worldwide
in the past few years, so does the need for effective security mechanisms. The sensing technology
combined with processing power and wireless communication makes it lucrative for being exploited in
abundance in future. The inclusion of wireless communication technology also incurs various types of
security threats due to unattended installation of sensor nodes as sensor networks may interact with
sensitive data and /or operate in hostile unattended environments. These security concerns be addressed
from the beginning of the system design. The intent of this paper is to investigate the security related
issues in wireless sensor networks. In this paper we have explored general security threats in wireless
sensor network with extensive study.
Security and privacy in Wireless Sensor NetworksImran Khan
This document discusses security and privacy issues in emerging wireless networks such as wireless sensor networks and vehicular ad hoc networks. It identifies several factors that make wireless networks more vulnerable than wired networks, such as broadcast communication enabling eavesdropping, mobility revealing user location, and resource constraints opening doors to denial of service attacks. The document examines challenges for unattended wireless sensor networks that operate without a continuous sink presence, and discusses potential solutions like data protection through encryption and authentication. It concludes that new security challenges arise from features like intermittent connectivity, and that infrastructure-independent and new cryptographic techniques are needed to address issues in emerging wireless networks.
Investigation of detection & prevention sinkhole attack in manetijctet
This document discusses sinkhole attacks in mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs). It provides background on sinkhole attacks, where a compromised node advertises a high quality route to attract network traffic. This can disrupt data transmission to the base station. The document reviews several existing detection techniques for sinkhole attacks, including algorithms using hop counting and mobile agents. It then proposes a new lightweight algorithm to detect sinkhole attacks in MANETs using network flow information collected by the base station and analysis of routing patterns to identify the intruder. The algorithm aims to provide secure and efficient sinkhole detection with low overhead.
The document outlines the key topics in wireless sensor network (WSN) security. It begins with an introduction to WSN specifications, constraints, security requirements and threats. It then discusses various denial of service attacks against WSN availability, as well as threats against data secrecy. Potential countermeasures are also reviewed, along with defenses against different privacy attacks. Finally, important WSN security protocols are mentioned. The overall document provides an overview of important WSN security concepts and challenges due to the unique constraints of sensor networks.
Overview on security and privacy issues in wireless sensor networks-2014Tarek Gaber
Lecture Outlines
Why Security is Important for WSN
WSNs have many applications e.g.:
military, homeland security
assessing disaster zones
Others.
This means that such sensor networks have mission-critical tasks.
Security is crucial for such WSNs deployed in these hostile environments.
Why Security is Important for WSN
Moreover, wireless communication employed by WSN facilitates
eavesdropping and
packet injection by an adversary.
These mentioned factors require security for WSN during the design stage to ensure operation safety, secrecy of sensitive data, and privacy for people in sensor environments.
Algorithms to achieve security services
Symmetric Encryption
Asymmetric Encryption
Hash Function/Algorithm
Digital Signature
Why Security is Complex in WSN
Because of WSNs Characteristics:
Anti-jamming and physical temper proofing are impossible
greater design complexity and energy consumption
Denial-of-service (DoS) attack is difficult
Sensor node constraints
Sensor nodes are susceptible to physical capture
Deploying in hostile environment.
eavesdropping and injecting malicious message are easy
Using wireless communication
Why Security is Complex in WSN
Because of WSNs Characteristics:
maximization of security level is challenging
Resource consumption
asymmetric cryptography is often too expensive
Node constraints
centralized security solutions are big issue
no central control and constraints, e.g. small memory capacity.
Cost Issues
Overall cost of WSN should be as low as possible.
Typical Attacks to WSN
Physical Attacks
Environmental
Permanently destroy the node, e.g., crashing or stealing a node.
Attacks at the Physical Layer
Jamming: transmission of a radio signal to interfere with WSN radio frequencies.
Constant jamming: No message are able to be sent or received.
Intermittent jamming: Nodes are able to exchange messages periodically
Jamming Attack Countermeasure
Physical Attacks
Node Capture Attacks
routing functionalities
Countermeasure
tamper-proof features
Expensive solution
Self-Protection
disable device when attack detected
Attacks on Routing
Sinkhole attack
attacker tries to attract the traffic from a particular region through it
Solution:
Watchdog Nodes can start to trace the source of false routing information
Attacks on Routing
Sybil attack (Identity Spoofing)
attacker claims to have multiple identities or locations
provide wrong information for routing to launch false routing attacks
Solutions:
Misbehavior Detection.
Identity Protection
Privacy Attacks
Attempts to obtain sensitive information collected and communicated in WSNs
Eavesdropping
made easy by broadcast nature of wireless networks
Traffic analysis
used to identify sensor nodes of interest (data of interest),
WSN Privacy Issues Cont.
WSN Privacy Issues Attack
Trust and reputation in WSN
WSN Traditional Security Techniques
Cryptographic primitive
A NOVEL TWO-STAGE ALGORITHM PROTECTING INTERNAL ATTACK FROM WSNSIJCNC
Wireless sensor networks (WSNs) consists of small nodes with constrain capabilities. It enables numerous
applications with distributed network infrastructure. With its nature and application scenario, security of
WSN had drawn a great attention. In malicious environments for a functional WSN, security mechanisms
are essential. Malicious or internal attacker has gained attention as the most challenging attacks to
WSNs. Many works have been done to secure WSN from internal attacks but most of them relay on either
training data set or predefined thresholds. It is a great challenge to find or gain knowledge about the
Malicious. In this paper, we develop the algorithm in two stages. Initially, Abnormal Behaviour
Identification Mechanism (ABIM) which uses cosine similarity. Finally, Dempster-Shafer theory (DST)is
used. Which combine multiple evidences to identify the malicious or internal attacks in a WSN. In this
method we do not need any predefined threshold or tanning data set of the nodes.
A Survey on Threats and Security schemes in Wireless Sensor NetworksIJERA Editor
It is difficult to achieve and become particularly acute in wireless sensor networks due to the limitation in network capability, computational power and memory which do not allow for implementation of complex security mechanism because security being vital to the acceptance and use of wireless sensor networks for many applications. In this paper we have explored general security threats in wireless sensor networks and analyzed them. This paper is an attempt to survey and analyze the threats to the wireless sensor networks and focus on the type of attacks and achieve secure communication in wireless sensor networks.
Analysis of security threats in wireless sensor networkijwmn
Wireless Sensor Network(WSN) is an emerging technology and explored field of researchers worldwide
in the past few years, so does the need for effective security mechanisms. The sensing technology
combined with processing power and wireless communication makes it lucrative for being exploited in
abundance in future. The inclusion of wireless communication technology also incurs various types of
security threats due to unattended installation of sensor nodes as sensor networks may interact with
sensitive data and /or operate in hostile unattended environments. These security concerns be addressed
from the beginning of the system design. The intent of this paper is to investigate the security related
issues in wireless sensor networks. In this paper we have explored general security threats in wireless
sensor network with extensive study.
Security and privacy in Wireless Sensor NetworksImran Khan
This document discusses security and privacy issues in emerging wireless networks such as wireless sensor networks and vehicular ad hoc networks. It identifies several factors that make wireless networks more vulnerable than wired networks, such as broadcast communication enabling eavesdropping, mobility revealing user location, and resource constraints opening doors to denial of service attacks. The document examines challenges for unattended wireless sensor networks that operate without a continuous sink presence, and discusses potential solutions like data protection through encryption and authentication. It concludes that new security challenges arise from features like intermittent connectivity, and that infrastructure-independent and new cryptographic techniques are needed to address issues in emerging wireless networks.
Investigation of detection & prevention sinkhole attack in manetijctet
This document discusses sinkhole attacks in mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs). It provides background on sinkhole attacks, where a compromised node advertises a high quality route to attract network traffic. This can disrupt data transmission to the base station. The document reviews several existing detection techniques for sinkhole attacks, including algorithms using hop counting and mobile agents. It then proposes a new lightweight algorithm to detect sinkhole attacks in MANETs using network flow information collected by the base station and analysis of routing patterns to identify the intruder. The algorithm aims to provide secure and efficient sinkhole detection with low overhead.
The document outlines the key topics in wireless sensor network (WSN) security. It begins with an introduction to WSN specifications, constraints, security requirements and threats. It then discusses various denial of service attacks against WSN availability, as well as threats against data secrecy. Potential countermeasures are also reviewed, along with defenses against different privacy attacks. Finally, important WSN security protocols are mentioned. The overall document provides an overview of important WSN security concepts and challenges due to the unique constraints of sensor networks.
Overview on security and privacy issues in wireless sensor networks-2014Tarek Gaber
Lecture Outlines
Why Security is Important for WSN
WSNs have many applications e.g.:
military, homeland security
assessing disaster zones
Others.
This means that such sensor networks have mission-critical tasks.
Security is crucial for such WSNs deployed in these hostile environments.
Why Security is Important for WSN
Moreover, wireless communication employed by WSN facilitates
eavesdropping and
packet injection by an adversary.
These mentioned factors require security for WSN during the design stage to ensure operation safety, secrecy of sensitive data, and privacy for people in sensor environments.
Algorithms to achieve security services
Symmetric Encryption
Asymmetric Encryption
Hash Function/Algorithm
Digital Signature
Why Security is Complex in WSN
Because of WSNs Characteristics:
Anti-jamming and physical temper proofing are impossible
greater design complexity and energy consumption
Denial-of-service (DoS) attack is difficult
Sensor node constraints
Sensor nodes are susceptible to physical capture
Deploying in hostile environment.
eavesdropping and injecting malicious message are easy
Using wireless communication
Why Security is Complex in WSN
Because of WSNs Characteristics:
maximization of security level is challenging
Resource consumption
asymmetric cryptography is often too expensive
Node constraints
centralized security solutions are big issue
no central control and constraints, e.g. small memory capacity.
Cost Issues
Overall cost of WSN should be as low as possible.
Typical Attacks to WSN
Physical Attacks
Environmental
Permanently destroy the node, e.g., crashing or stealing a node.
Attacks at the Physical Layer
Jamming: transmission of a radio signal to interfere with WSN radio frequencies.
Constant jamming: No message are able to be sent or received.
Intermittent jamming: Nodes are able to exchange messages periodically
Jamming Attack Countermeasure
Physical Attacks
Node Capture Attacks
routing functionalities
Countermeasure
tamper-proof features
Expensive solution
Self-Protection
disable device when attack detected
Attacks on Routing
Sinkhole attack
attacker tries to attract the traffic from a particular region through it
Solution:
Watchdog Nodes can start to trace the source of false routing information
Attacks on Routing
Sybil attack (Identity Spoofing)
attacker claims to have multiple identities or locations
provide wrong information for routing to launch false routing attacks
Solutions:
Misbehavior Detection.
Identity Protection
Privacy Attacks
Attempts to obtain sensitive information collected and communicated in WSNs
Eavesdropping
made easy by broadcast nature of wireless networks
Traffic analysis
used to identify sensor nodes of interest (data of interest),
WSN Privacy Issues Cont.
WSN Privacy Issues Attack
Trust and reputation in WSN
WSN Traditional Security Techniques
Cryptographic primitive
A NOVEL TWO-STAGE ALGORITHM PROTECTING INTERNAL ATTACK FROM WSNSIJCNC
Wireless sensor networks (WSNs) consists of small nodes with constrain capabilities. It enables numerous
applications with distributed network infrastructure. With its nature and application scenario, security of
WSN had drawn a great attention. In malicious environments for a functional WSN, security mechanisms
are essential. Malicious or internal attacker has gained attention as the most challenging attacks to
WSNs. Many works have been done to secure WSN from internal attacks but most of them relay on either
training data set or predefined thresholds. It is a great challenge to find or gain knowledge about the
Malicious. In this paper, we develop the algorithm in two stages. Initially, Abnormal Behaviour
Identification Mechanism (ABIM) which uses cosine similarity. Finally, Dempster-Shafer theory (DST)is
used. Which combine multiple evidences to identify the malicious or internal attacks in a WSN. In this
method we do not need any predefined threshold or tanning data set of the nodes.
A Survey on Threats and Security schemes in Wireless Sensor NetworksIJERA Editor
It is difficult to achieve and become particularly acute in wireless sensor networks due to the limitation in network capability, computational power and memory which do not allow for implementation of complex security mechanism because security being vital to the acceptance and use of wireless sensor networks for many applications. In this paper we have explored general security threats in wireless sensor networks and analyzed them. This paper is an attempt to survey and analyze the threats to the wireless sensor networks and focus on the type of attacks and achieve secure communication in wireless sensor networks.
This document discusses security issues in wireless sensor networks. It begins with an introduction to wireless sensor networks and then explores the feasibility of basic security schemes like cryptography, steganography, and physical layer access. It outlines several common security threats to wireless sensor networks such as denial of service attacks, information interception, Sybil attacks, and wormhole attacks. Finally, it reviews some proposed security schemes and approaches to wireless sensor network security, including holistic security methods and energy-efficient designs.
A review of security attacks and intrusion detection schemes in wireless sens...ijwmn
Wireless sensor networks are currently the greatest innovation in the field of telecommunications. WSNs
have a wide range of potential applications, including security and surveillance, control, actuation and
maintenance of complex systems and fine-grain monitoring of indoor and outdoor environments. However
security is one of the major aspects of Wireless sensor networks due to the resource limitations of sensor
nodes. Those networks are facing several threats that affect their functioning and their life. In this paper we
present security attacks in wireless sensor networks, and we focus on comparison and analysis of recent
Intrusion Detection schemes in WSNs.
Detection and prevention of wormhole attack in mobile adhoc networksambitlick
This document discusses detection and prevention of wormhole attacks in mobile ad hoc networks. A wormhole attack is a powerful attack where two or more malicious nodes collude to tunnel packets between them, emulating a shorter route and attracting traffic. This can severely disrupt network communication. The paper proposes a novel trust-based scheme to identify wormhole-creating nodes without cryptography. Extensive simulations show the scheme effectively handles colluding malicious nodes without imposing extra network conditions.
WDA: Wormhole Attack Detection Algorithm based on measuring Round Trip Delay ...ijsrd.com
The recent advancements in the wireless arena and their wide-spread utilization have introduced new security vulnerabilities. The wireless media being shared is exposed to outside world, so it is susceptible to various attacks at different layers of OSI network stack. For example, jamming and device tampering at the physical layer; disruption of the medium access control (MAC) layer; routing attacks like Blackhole, rushing, wormhole; targeted attacks on the transport protocol like session hijacking, SYN flooding or even attacks intended to disrupt specific applications through viruses, worms and Trojan Horses. Wormhole attack is one of the serious routing attacks amongst all the network layer attacks launched on MANET. Wormhole attack is launched by creation of tunnels and it leads to total disruption of the routing paths on MANET. In this paper, Wormhole detection algorithm (WDA) is proposed based on modifying the forwarding packet process that detects and isolates wormhole nodes in ad hoc on demand distance vector (AODV) routing protocol.
Attacks and counterattacks on wireless sensor networksijasuc
WSN is formed by autonomous nodes with partial memory, communication range, power, and bandwidth.
Their occupation depends on inspecting corporal and environmental conditions and communing through a
system and performing data processing. The application field is vast, comprising military, ecology,
healthcare, home or commercial and require a highly secured communication. The paper analyses different
types of attacks and counterattacks and provides solutions for the WSN threats.
This document summarizes a research paper that aims to detect and prevent wormhole attacks in wireless sensor networks. It first provides background on wormhole attacks, where an attacker tunnels network traffic to another location to compromise routing. It then reviews related work detecting wormholes using cryptography, location verification, or intrusion detection. The paper proposes a system with guard nodes that collaboratively monitor links to detect compromised nodes. It describes modules for network topology establishment, attack establishment through different wormhole modes, and an elimination mechanism where guard nodes isolate attackers once malicious behaviors exceed thresholds. Simulations test the ability of this scheme to improve security against wormhole attacks in resource-constrained wireless sensor networks.
1) The document discusses security issues in wireless sensor networks, specifically focusing on attacks against routing protocols and potential countermeasures. It outlines common attacks like spoofing, selective forwarding, sinkhole attacks, Sybil attacks, wormholes, and HELLO flood attacks.
2) The document then provides an overview of potential countermeasures like link layer security, identity verification protocols, verification of link bidirectionality, and multipath routing.
3) Finally, the document emphasizes the importance of secure routing protocol design and highlights the need for protocols to incorporate security features to defend against insider and outsider attacks.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are
various security issues and problems. Two most important issues are interoperability and interaction
among various security technologies which are very important to consider for configuration and
management point of view. The packet drop ratio in the wireless network is very high as well as packets
may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false
positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless
networks. Hence, there is the need of effective intrusion detection system which can detect maximum
number of intruders and the corresponding packets be forwarded through some alternate paths in the
network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust
value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the
performance of WLAN.
While wireless sensor networks face security challenges, addressing issues like confidentiality, integrity, and availability is critical for successful deployment. The document discusses these security requirements and explains how attacks can target different network layers. It provides examples of physical layer attacks like jamming and tampering. At higher layers, attacks include collisions and resource exhaustion in the data link layer, and spoofing, selective forwarding, sinkholes, Sybil attacks and wormholes in the network layer. Transport layer attacks involve flooding and desynchronization. Confidentiality, integrity, and cryptography are also discussed as important security concepts for wireless sensor networks.
This document discusses security challenges in wireless sensor networks. It covers several topics: why security is needed in WSNs given their mission-critical applications; why security is more complicated in WSNs due to resource constraints of sensor nodes; common security requirements like confidentiality, integrity, and availability; guiding principles for securing WSNs like decentralized management and adaptive security; common attacks against WSNs at different layers of the protocol stack; and open research issues regarding cryptography, key management, secure data aggregation, and other high-level security mechanisms for WSNs.
Wireless sensor networks consist of distributed autonomous devices that can monitor various environmental conditions. Securing these networks is challenging due to constraints on sensors' processing, memory, and battery power. Attacks on wireless sensor networks can target security mechanisms or routing mechanisms. Common attacks include denial of service through jamming, spoofing and altering information in transit, replication attacks, and physical node destruction. Effective security schemes must provide data confidentiality, integrity, and freshness given sensors' limitations. Developing efficient detection of compromised nodes reporting false data while ensuring holistic security in wireless sensor networks remains an important research challenge.
WSN security faces many challenges due to limited sensor resources and operating in hostile environments. It requires high security levels to protect sensitive data while maintaining energy efficiency. However, current research has not fully addressed the conflict between security and limited resources. WSNs are vulnerable to various attacks like jamming, eavesdropping, and false routing. Providing security introduces additional processing and power demands on sensors. Many open research problems remain in developing scalable and dynamic security solutions for wireless sensor networks.
REPLICATION ATTACK MITIGATIONS FOR STATIC AND MOBILE WSNIJNSA Journal
Security is important for many sensor network applications. Wireless Sensor Networks (WSN) are often deployed in hostile environments as static or mobile, where an adversary can physically capture some of the nodes. once a node is captured, adversary collects all the credentials like keys and identity etc. the attacker can re-program it and replicate the node in order to eavesdrop the transmitted messages or compromise the functionality of the network. Identity theft leads to two types attack: clone and sybil. In particularly a harmful attack against sensor networks where one or more node(s) illegitimately claims an identity as replicas is known as the node replication attack. The replication attack can be exceedingly injurious to many important functions of the sensor network such as routing, resource llocation, misbehavior detection, etc. This paper analyzes the threat posed by the replication attack and several novel techniques to detect and defend against the replication attack, and analyzes their effectiveness in both static and mobile WSN.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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1) The document discusses security attacks in wireless sensor networks (WSNs). It provides an overview of the types of WSNs and their components.
2) It describes the main security challenges in WSNs like remote locations, lack of central control, and resource constraints.
3) The document outlines different security attacks in WSNs including denial of service attacks, traffic analysis, wormhole attacks, and jamming.
4) Defensive measures to secure WSNs like key establishment and intrusion detection are also discussed.
Security Attacks and its Countermeasures in Wireless Sensor NetworksIJERA Editor
Wireless Sensor Networks have come to the forefront of the scientific community recently. Present WSNs typically communicate directly with a centralized controller or satellite. Going on the other hand, a smart WSN consists of a number of sensors spread across a geographical area; each sensor has wireless communication ability and sufficient intelligence for signal processing and networking of the data. This paper surveyed the different types of attacks, security related issues, and it’s Countermeasures with the complete comparison between Layer based Attacks in Wireless Sensor Networks
A network is nothing but multiple nodes are
connected with each other in some manner. The communication
between each node and the topology of the network are important
to make the environment more efficient. The communications
between systems are broadly categorized into two; that are wired
and wireless communication. In wired network, each node will be
connected through physical wires and follows a topology. But in
wireless network the communication between each node will be
happen a centralized node called Access Point. In wireless
environment a special wireless network is called MANET, in
which there will be no centralized Access Points. MANET is
nothing but Mobile Ad-hoc NETwork. In MANET each node acts
as a sender and receiver. And there is no fixed route between
nodes. Based on the nodes reachable, node will change the
routing table dynamically. So the mobility and scalability of the
nodes will not impact the MANET. The self-configuring ability of
the MANET made it popular in military applications and
emergency recovery. So the communication between each node
should be more secure and trustable. And it’s important to
identify the malicious nodes in MANET too. The malicious nodes
are nodes which are not able to sends packets further or the
nodes which are sends false report to the sender. To identify these
malicious nodes and sends the messages with more secure with
authorization need to implement new Intrusion Identification
System called Digital Signature with Acknowledgement name as
Enhanced Adaptive Acknowledgement. The objective of MANET
is fast communication. So its need to analyze the network
throughput also once the new Intrusion Identification System
introduced.
The migration to wireless network from wired network
has been a global trend in the past few decades. The mobility
and scalability brought by wireless network made it possible in
many applications. Among all the contemporary wireless networks,
Mobile Ad hoc NETwork (MANET) is one of the most
important and unique applications. On the contrary to traditional
network architecture, MANET does not require a fixed network
infrastructure; every single node works as both a transmitter and
a receiver. Nodes communicate directly with each other when they
are both within the same communication range. Otherwise, they
rely on their neighbors to relay messages. The self-configuring
ability of nodes in MANET made it popular among criticalmission
applications like military use or emergency recovery. However,
the open medium and wide distribution of nodes make MANET
vulnerable to malicious attackers. In this case, it is crucial to
develop efficient intrusion-detection mechanisms to protect
MANET from attacks. With the improvements of the technology
and cut in hardware costs, we are witnessing a current trend of
expanding MANETs into industrial applications. To adjust to such
trend, we strongly believe that it is vital to address its potential
security issues. In this paper, we propose and implement a new
intrusion-detection system named Enhanced Adaptive ACKnowledgment
(EAACK) specially designed for MANETs. Compared
to contemporary approaches, EAACK demonstrates higher malicious-
behavior-detection rates in certain circumstances while does
not greatly affect the network performances.
The Generic Visual Perception Processor (GVPP) is a chip that mimics the human visual perception system. It can automatically detect and track objects in real-time from a video stream. The GVPP processes visual information as histograms of object locations and velocities. This allows the chip to perform tasks like driving safely, fruit picking, reading and object recognition similarly to the human eye. The GVPP was invented in 1992 and uses a neural network architecture with multiplexing and memory to simulate the work of neurons. It takes weighted sums of inputs and produces outputs to solve problems with minimal programming. The GVPP has applications in automotive, robotics, agriculture, military and other industries involving visual tracking.
CORBA and DCOM are specifications for distributed computing that allow objects to communicate across a network. CORBA uses an Object Request Broker (ORB) as middleware to locate and invoke remote objects transparently. It defines an Interface Definition Language (IDL) and supports location transparency. DCOM is Microsoft's version that extends COM to allow components to interact remotely. It uses proxies on the client side and stubs on the server side to marshal requests and responses.
This document discusses security issues in wireless sensor networks. It begins with an introduction to wireless sensor networks and then explores the feasibility of basic security schemes like cryptography, steganography, and physical layer access. It outlines several common security threats to wireless sensor networks such as denial of service attacks, information interception, Sybil attacks, and wormhole attacks. Finally, it reviews some proposed security schemes and approaches to wireless sensor network security, including holistic security methods and energy-efficient designs.
A review of security attacks and intrusion detection schemes in wireless sens...ijwmn
Wireless sensor networks are currently the greatest innovation in the field of telecommunications. WSNs
have a wide range of potential applications, including security and surveillance, control, actuation and
maintenance of complex systems and fine-grain monitoring of indoor and outdoor environments. However
security is one of the major aspects of Wireless sensor networks due to the resource limitations of sensor
nodes. Those networks are facing several threats that affect their functioning and their life. In this paper we
present security attacks in wireless sensor networks, and we focus on comparison and analysis of recent
Intrusion Detection schemes in WSNs.
Detection and prevention of wormhole attack in mobile adhoc networksambitlick
This document discusses detection and prevention of wormhole attacks in mobile ad hoc networks. A wormhole attack is a powerful attack where two or more malicious nodes collude to tunnel packets between them, emulating a shorter route and attracting traffic. This can severely disrupt network communication. The paper proposes a novel trust-based scheme to identify wormhole-creating nodes without cryptography. Extensive simulations show the scheme effectively handles colluding malicious nodes without imposing extra network conditions.
WDA: Wormhole Attack Detection Algorithm based on measuring Round Trip Delay ...ijsrd.com
The recent advancements in the wireless arena and their wide-spread utilization have introduced new security vulnerabilities. The wireless media being shared is exposed to outside world, so it is susceptible to various attacks at different layers of OSI network stack. For example, jamming and device tampering at the physical layer; disruption of the medium access control (MAC) layer; routing attacks like Blackhole, rushing, wormhole; targeted attacks on the transport protocol like session hijacking, SYN flooding or even attacks intended to disrupt specific applications through viruses, worms and Trojan Horses. Wormhole attack is one of the serious routing attacks amongst all the network layer attacks launched on MANET. Wormhole attack is launched by creation of tunnels and it leads to total disruption of the routing paths on MANET. In this paper, Wormhole detection algorithm (WDA) is proposed based on modifying the forwarding packet process that detects and isolates wormhole nodes in ad hoc on demand distance vector (AODV) routing protocol.
Attacks and counterattacks on wireless sensor networksijasuc
WSN is formed by autonomous nodes with partial memory, communication range, power, and bandwidth.
Their occupation depends on inspecting corporal and environmental conditions and communing through a
system and performing data processing. The application field is vast, comprising military, ecology,
healthcare, home or commercial and require a highly secured communication. The paper analyses different
types of attacks and counterattacks and provides solutions for the WSN threats.
This document summarizes a research paper that aims to detect and prevent wormhole attacks in wireless sensor networks. It first provides background on wormhole attacks, where an attacker tunnels network traffic to another location to compromise routing. It then reviews related work detecting wormholes using cryptography, location verification, or intrusion detection. The paper proposes a system with guard nodes that collaboratively monitor links to detect compromised nodes. It describes modules for network topology establishment, attack establishment through different wormhole modes, and an elimination mechanism where guard nodes isolate attackers once malicious behaviors exceed thresholds. Simulations test the ability of this scheme to improve security against wormhole attacks in resource-constrained wireless sensor networks.
1) The document discusses security issues in wireless sensor networks, specifically focusing on attacks against routing protocols and potential countermeasures. It outlines common attacks like spoofing, selective forwarding, sinkhole attacks, Sybil attacks, wormholes, and HELLO flood attacks.
2) The document then provides an overview of potential countermeasures like link layer security, identity verification protocols, verification of link bidirectionality, and multipath routing.
3) Finally, the document emphasizes the importance of secure routing protocol design and highlights the need for protocols to incorporate security features to defend against insider and outsider attacks.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are
various security issues and problems. Two most important issues are interoperability and interaction
among various security technologies which are very important to consider for configuration and
management point of view. The packet drop ratio in the wireless network is very high as well as packets
may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false
positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless
networks. Hence, there is the need of effective intrusion detection system which can detect maximum
number of intruders and the corresponding packets be forwarded through some alternate paths in the
network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust
value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the
performance of WLAN.
While wireless sensor networks face security challenges, addressing issues like confidentiality, integrity, and availability is critical for successful deployment. The document discusses these security requirements and explains how attacks can target different network layers. It provides examples of physical layer attacks like jamming and tampering. At higher layers, attacks include collisions and resource exhaustion in the data link layer, and spoofing, selective forwarding, sinkholes, Sybil attacks and wormholes in the network layer. Transport layer attacks involve flooding and desynchronization. Confidentiality, integrity, and cryptography are also discussed as important security concepts for wireless sensor networks.
This document discusses security challenges in wireless sensor networks. It covers several topics: why security is needed in WSNs given their mission-critical applications; why security is more complicated in WSNs due to resource constraints of sensor nodes; common security requirements like confidentiality, integrity, and availability; guiding principles for securing WSNs like decentralized management and adaptive security; common attacks against WSNs at different layers of the protocol stack; and open research issues regarding cryptography, key management, secure data aggregation, and other high-level security mechanisms for WSNs.
Wireless sensor networks consist of distributed autonomous devices that can monitor various environmental conditions. Securing these networks is challenging due to constraints on sensors' processing, memory, and battery power. Attacks on wireless sensor networks can target security mechanisms or routing mechanisms. Common attacks include denial of service through jamming, spoofing and altering information in transit, replication attacks, and physical node destruction. Effective security schemes must provide data confidentiality, integrity, and freshness given sensors' limitations. Developing efficient detection of compromised nodes reporting false data while ensuring holistic security in wireless sensor networks remains an important research challenge.
WSN security faces many challenges due to limited sensor resources and operating in hostile environments. It requires high security levels to protect sensitive data while maintaining energy efficiency. However, current research has not fully addressed the conflict between security and limited resources. WSNs are vulnerable to various attacks like jamming, eavesdropping, and false routing. Providing security introduces additional processing and power demands on sensors. Many open research problems remain in developing scalable and dynamic security solutions for wireless sensor networks.
REPLICATION ATTACK MITIGATIONS FOR STATIC AND MOBILE WSNIJNSA Journal
Security is important for many sensor network applications. Wireless Sensor Networks (WSN) are often deployed in hostile environments as static or mobile, where an adversary can physically capture some of the nodes. once a node is captured, adversary collects all the credentials like keys and identity etc. the attacker can re-program it and replicate the node in order to eavesdrop the transmitted messages or compromise the functionality of the network. Identity theft leads to two types attack: clone and sybil. In particularly a harmful attack against sensor networks where one or more node(s) illegitimately claims an identity as replicas is known as the node replication attack. The replication attack can be exceedingly injurious to many important functions of the sensor network such as routing, resource llocation, misbehavior detection, etc. This paper analyzes the threat posed by the replication attack and several novel techniques to detect and defend against the replication attack, and analyzes their effectiveness in both static and mobile WSN.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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1) The document discusses security attacks in wireless sensor networks (WSNs). It provides an overview of the types of WSNs and their components.
2) It describes the main security challenges in WSNs like remote locations, lack of central control, and resource constraints.
3) The document outlines different security attacks in WSNs including denial of service attacks, traffic analysis, wormhole attacks, and jamming.
4) Defensive measures to secure WSNs like key establishment and intrusion detection are also discussed.
Security Attacks and its Countermeasures in Wireless Sensor NetworksIJERA Editor
Wireless Sensor Networks have come to the forefront of the scientific community recently. Present WSNs typically communicate directly with a centralized controller or satellite. Going on the other hand, a smart WSN consists of a number of sensors spread across a geographical area; each sensor has wireless communication ability and sufficient intelligence for signal processing and networking of the data. This paper surveyed the different types of attacks, security related issues, and it’s Countermeasures with the complete comparison between Layer based Attacks in Wireless Sensor Networks
A network is nothing but multiple nodes are
connected with each other in some manner. The communication
between each node and the topology of the network are important
to make the environment more efficient. The communications
between systems are broadly categorized into two; that are wired
and wireless communication. In wired network, each node will be
connected through physical wires and follows a topology. But in
wireless network the communication between each node will be
happen a centralized node called Access Point. In wireless
environment a special wireless network is called MANET, in
which there will be no centralized Access Points. MANET is
nothing but Mobile Ad-hoc NETwork. In MANET each node acts
as a sender and receiver. And there is no fixed route between
nodes. Based on the nodes reachable, node will change the
routing table dynamically. So the mobility and scalability of the
nodes will not impact the MANET. The self-configuring ability of
the MANET made it popular in military applications and
emergency recovery. So the communication between each node
should be more secure and trustable. And it’s important to
identify the malicious nodes in MANET too. The malicious nodes
are nodes which are not able to sends packets further or the
nodes which are sends false report to the sender. To identify these
malicious nodes and sends the messages with more secure with
authorization need to implement new Intrusion Identification
System called Digital Signature with Acknowledgement name as
Enhanced Adaptive Acknowledgement. The objective of MANET
is fast communication. So its need to analyze the network
throughput also once the new Intrusion Identification System
introduced.
The migration to wireless network from wired network
has been a global trend in the past few decades. The mobility
and scalability brought by wireless network made it possible in
many applications. Among all the contemporary wireless networks,
Mobile Ad hoc NETwork (MANET) is one of the most
important and unique applications. On the contrary to traditional
network architecture, MANET does not require a fixed network
infrastructure; every single node works as both a transmitter and
a receiver. Nodes communicate directly with each other when they
are both within the same communication range. Otherwise, they
rely on their neighbors to relay messages. The self-configuring
ability of nodes in MANET made it popular among criticalmission
applications like military use or emergency recovery. However,
the open medium and wide distribution of nodes make MANET
vulnerable to malicious attackers. In this case, it is crucial to
develop efficient intrusion-detection mechanisms to protect
MANET from attacks. With the improvements of the technology
and cut in hardware costs, we are witnessing a current trend of
expanding MANETs into industrial applications. To adjust to such
trend, we strongly believe that it is vital to address its potential
security issues. In this paper, we propose and implement a new
intrusion-detection system named Enhanced Adaptive ACKnowledgment
(EAACK) specially designed for MANETs. Compared
to contemporary approaches, EAACK demonstrates higher malicious-
behavior-detection rates in certain circumstances while does
not greatly affect the network performances.
The Generic Visual Perception Processor (GVPP) is a chip that mimics the human visual perception system. It can automatically detect and track objects in real-time from a video stream. The GVPP processes visual information as histograms of object locations and velocities. This allows the chip to perform tasks like driving safely, fruit picking, reading and object recognition similarly to the human eye. The GVPP was invented in 1992 and uses a neural network architecture with multiplexing and memory to simulate the work of neurons. It takes weighted sums of inputs and produces outputs to solve problems with minimal programming. The GVPP has applications in automotive, robotics, agriculture, military and other industries involving visual tracking.
CORBA and DCOM are specifications for distributed computing that allow objects to communicate across a network. CORBA uses an Object Request Broker (ORB) as middleware to locate and invoke remote objects transparently. It defines an Interface Definition Language (IDL) and supports location transparency. DCOM is Microsoft's version that extends COM to allow components to interact remotely. It uses proxies on the client side and stubs on the server side to marshal requests and responses.
This document discusses data replication and Informatica's data replication solution. It defines data replication as automating the cloning of thousands of application tables in real-time while managing transaction data capture, routing, and delivery. Informatica's data replication provides continuous availability during upgrades, reduces IT costs by offloading to lower cost systems, and enables uninterrupted migrations. It replicates transactional changes between source and target systems with high extraction and apply speeds. The solution benefits data warehouses, real-time reporting, migrations, and auditing requirements.
This document discusses steganography, which is a method of hiding secret information within other information. It begins by providing background on the rise of the internet and the need for information security. It then explains steganography and how it differs from cryptography by not only encrypting messages but hiding their very existence. The document outlines various types of steganography, including techniques for hiding messages in text, audio, images, and video files. It notes some advantages and disadvantages of steganography and discusses the latest research on improving steganography detection.
Steganography is the art and science of hiding information by embedding messages within other harmless media so as not to arouse suspicion. It differs from cryptography in that the goal is to conceal the very existence of the message, not just its content. Common techniques include hiding data in the least significant bits of images, altering text formatting, and embedding signals in audio files like echoes. Detection methods involve looking for anomalies introduced by hidden data or disabling embedded data through compression or filtering. Steganography has applications in secure communication, copyright protection, and covert messaging.
Digital jewelry is fashion jewelry that contains embedded computing technology. It can include pieces like earrings, a necklace, and bracelet that together function as a cell phone using Bluetooth technology. The earrings contain speakers, the necklace has a microphone, and the bracelet displays caller ID information. A Java ring can be used for security purposes by automatically unlocking doors and logging users into systems. While digital jewelry provides wireless functionality and interaction, it also has small displays, potential health risks from radiation, and high costs that limit adoption.
This document discusses security issues and proposed solutions for wireless sensor networks. It begins by defining wireless sensor networks and describing common applications. It then outlines several security threats like denial of service attacks, wormhole attacks, sybil attacks, and traffic analysis attacks. It also discusses proposed cryptography and authentication schemes to provide data confidentiality, integrity, and freshness. Finally, it advocates for a holistic security approach that considers all network layers rather than focusing on single layers.
A SERVEY ON WIRELESS SENSOR NETWORK SECURITY ISSUES & CHALLENGESEditor IJCTER
A Wireless Sensor Network (WSN) is an evolving technology and getting significant attention due to its unlimited potential starts from domestic application to battlefield. Wireless
Sensor Networks(WSN) are a most challenging and emerging technology for the research due to
their vital scope in the field coupled with their low processing power and associated low energy.
Today wireless sensor networks are broadly used in environmental control, surveillance tasks,
monitoring, tracking and controlling etc. Sensor nodes are tiny, cheap, disposable and self-contained
battery powered computers, known as "motes”, which can accept input from an attached sensor,
process this input data and transmit the results wirelessly to the transit network. Due to the various
applications of WSN in homeland security and military, security is the major issue to be taken care
of. In this paper we discuss about The combination of these factors demands security for sensor
networks at design time to ensure operation safety, secrecy of sensitive data, and privacy for people
in sensor environments. Broadcast authentication is a critical security service in sensor networks; it
allows a sender to broadcast messages to multiple nodes in an authenticated way. µ TESLA and multi-level µTESLA have been proposed to provide such service for sensor networks.
ATTACKS AND COUNTERATTACKS ON WIRELESS SENSOR NETWORKSijasuc
WSN is formed by autonomous nodes with partial memory, communication range, power, and bandwidth.
Their occupation depends on inspecting corporal and environmental conditions and communing through a
system and performing data processing. The application field is vast, comprising military, ecology,
healthcare, home or commercial and require a highly secured communication. The paper analyses different
types of attacks and counterattacks and provides solutions for the WSN threats.
Distributed Intrusion Detection System for Wireless Sensor NetworksIOSR Journals
This document discusses distributed intrusion detection systems for wireless sensor networks. It begins by providing background on wireless sensor networks and the security issues they face, such as denial of service attacks, routing attacks, and Sybil attacks. Traditional intrusion detection systems cannot be directly applied to wireless sensor networks due to their resource constraints. The document then examines the need for intrusion detection systems in wireless sensor networks to provide a second line of defense against attacks. It outlines features an intrusion detection system should have to be suitable for wireless sensor networks, such as being distributed, minimizing resource usage, and not trusting any single node. Finally, it categorizes different types of intrusion detection system architectures for wireless sensor networks, including stand-alone, distributed
This document summarizes a research paper about denial of service (DoS) attacks on wireless sensor networks. It begins by outlining some key security goals for wireless sensor networks, including data confidentiality, integrity, availability, and authentication. It then discusses DoS attacks specifically, noting they aim to degrade efficient use of network resources. The document proposes that DoS attacks can occur at different layers of the OSI model. It provides examples of physical layer attacks like jamming and describes how frequency hopping can help counter jamming. In closing, it notes DoS attacks threaten the availability security goal for wireless sensor networks.
AN IMPROVED WATCHDOG TECHNIQUE BASED ON POWER-AWARE HIERARCHICAL DESIGN FOR I...IJNSA Journal
This document proposes an improved watchdog technique for intrusion detection in wireless sensor networks. The technique uses a hierarchical model with cluster head nodes acting as watchdogs to monitor network activity within each cell. This is intended to overcome issues with the original watchdog mechanism and reduce power consumption, extending the lifetime of sensor nodes. The algorithm for malicious node detection involves the cluster head eavesdropping on transmissions, comparing messages to a buffer, and raising warnings if messages do not match. Simulation results showed this approach increased network lifetime by around 2611 seconds compared to a non-hierarchical model.
This document discusses detection of collision attacks in wireless sensor networks using rule-based packet flow rates. It proposes detection algorithms that monitor the packet flow rate to the base station node. The algorithms aim to have low false detection and tolerance rates and quickly detect attacks. Simulation results show the algorithms achieve these goals. The document also reviews related work on intrusion detection in wireless sensor networks.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are various security issues and problems. Two most important issues are interoperability and interaction among various security technologies which are very important to consider for configuration and management point of view. The packet drop ratio in the wireless network is very high as well as packets may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless networks. Hence, there is the need of effective intrusion detection system which can detect maximum number of intruders and the corresponding packets be forwarded through some alternate paths in the network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the performance of WLAN
An ids scheme against black hole attack to secure aomdv routing in manet pijans
In Mobile Ad hoc Network (MANET) all the nodes are freely moves in the absence of without ant
centralized coordination system. Due to that the attackers or malicious nodes are easily affected that kind
of network and responsible for the routing misbehavior. The routing is network is mandatory to deliver
data in between source and destination. In this research we work on security field in MANET and proposed
a novel security scheme against routing misbehavior through Black hole attack. The Ad hoc On demand
Multipath Routing (AOMDV) protocol is consider for routing and also to improves the routing quality as
compare to single path routing protocol. The attacker is affected all the possible paths that is selected by
sender for sending data in network. The malicious nodes are forward optimistic reply at the time of routing
by that their identification is also a complex procedure. The proposed Intrusion Detection System (IDS)
scheme is identified the attacker information through hop count mechanism. The routing information of
actual data is reached to which intermediate node and the next hop information is exist at that node is
confirm by IDS scheme. The black hole attacker node Identification (ID) is forward in network by that in
future attacker is not participating in routing procedure. The proposed security scheme detects and
provides the deterrence against routing misbehavior through malicious attack. Here we compare the
routing performance of AOMDV, Attack and IDS scheme. The performance of normal multipath routing
and proposed IDS scheme is almost equal. The attacker has degrades the whole routing performance but
observed that in presence of attacker, routing misbehavior is completely block by the proposed IDS scheme
and recovers 95 % of data as compare to normal routing.
Energy Efficient and Secure, Trusted network discovery for Wireless Sensor Ne...IOSR Journals
This document describes a proposed energy efficient and secure trusted network discovery framework for wireless sensor networks called TARF. The framework aims to secure routing against attacks like sinkhole, wormhole, and Sybil attacks by evaluating the trustworthiness of neighboring nodes. It identifies untrustworthy nodes and routes around them. TARF also aims to be energy efficient. It uses elliptic curve cryptography for encryption and maintains a neighborhood table with trust and energy cost values to select low-cost, trusted next hop nodes for routing. The framework generates network certificates, starts sensor nodes, creates a trusted center, and has nodes find neighbors to select routing paths while avoiding attackers. Simulation results show certificate generation, node interfaces, the trusted center, and a node finding
CROSS LAYER INTRUSION DETECTION SYSTEM FOR WIRELESS SENSOR NETWORKIJNSA Journal
The wireless sensor networks (WSN) are particularly vulnerable to various attacks at different layers of the protocol stack. Many intrusion detection system (IDS) have been proposed to secure WSNs. But all these systems operate in a single layer of the OSI model, or do not consider the interaction and collaboration between these layers. Consequently these systems are mostly inefficient and would drain out the WSN. In this paper we propose a new intrusion detection system based on cross layer interaction between the network, Mac and physical layers. Indeed we have addressed the problem of intrusion detection in a different way in which the concept of cross layer is widely used leading to the birth of a new type of IDS. We have experimentally evaluated our system using the NS simulator to demonstrate its effectiveness in detecting different types of attacks at multiple layers of the OSI model.
SECURED AODV TO PROTECT WSN AGAINST MALICIOUS INTRUSIONIJNSA Journal
One of the security issues in Wireless Sensor Networks (WSN) is intrusion detection. In this paper, we propose a new defence mechanism based on the Ad hoc On-Demand Vector (AODV) routing protocol. AODV is a reactive protocol designed for ad hoc networks and has excellent flexibility to be adapted to a new secure version. The main objective of the proposed secured AODV routing protocol is to protect WSN against malicious intrusion and defend against adversary attacks. This secured AODV protocol works well with the WSN dynamics and topology changes due to limited available resources. It establishes secure multi-hop routing between sensor nodes with high confidence, integrity, and availability. The secured AODV utilizes an existing intrusion dataset that facilitates new collection from all the exchanged packets in the network. The protocol monitors end to end delay and avoid any additional overhead over message transfer between sensor nodes. The experimental results showed that this secured AODV could be used to fight against malicious attacks such as black hole attacks and avoid caused large transmission delays.
PREVENTION OF WORMHOLE ATTACK IN WIRELESS SENSOR NETWORKIJNSA Journal
Ubiquitous and pervasive applications, where the Wireless Sensor Networks are typically deployed, lead to the susceptibility to many kinds of security attacks. Sensors used for real time response capability also make it difficult to devise the resource intensive security protocols because of their limited battery, power, memory and processing capabilities. One of potent form of Denial of Service attacks is Wormhole attack that affects on the network layer. In this paper, the techniques dealing with wormhole attack are investigated and an approach for wormhole prevention is proposed. Our approach is based on the analysis of the two-hop neighbors forwarding Route Reply packet. To check the validity of the sender, a unique key between the individual sensor node and the base station is required to be generated by suitable scheme.
Wireless Sensor Networks: An Overview on Security Issues and ChallengesBRNSSPublicationHubI
This document summarizes security issues and challenges in wireless sensor networks (WSNs). WSNs are vulnerable to various security threats due to their wireless nature and constrained resources. The document outlines key requirements for WSN security like confidentiality, integrity, authentication, and availability. It discusses obstacles to security in WSNs like limited resources, unreliable communication, and unattended operation. Common attacks on WSNs are categorized as insider vs outsider, passive vs active, and mote-class vs laptop-class. The document provides a brief overview of security issues and threats at different layers of a WSN.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
Black hole Attack Avoidance Protocol for wireless Ad-Hoc networksijsrd.com
A Mobile Ad-Hoc Network is a collection of mobile nodes or a temporary network set up by wireless mobile nodes moving arbitrary in the places that have no network infrastructure in such a manner that the interconnections between nodes are capable of changing on continual basis. Thus the nodes find a path to the destination node using routing protocols. However, due to security vulnerabilities of the routing protocols, wireless ad-hoc networks are unprotected to attacks of the malicious nodes. Various attacks and one of those attacks is the Black Hole Attack against network integrity absorbing all data packets in the network. Since the data packets do not reach the destination node on account of this attack, data loss will occur. Therefore, it is a severe attack that can be easily employed against routing in mobile ad hoc networks. There are lots of detection and defense mechanisms to eliminate the intruder that carry out the black hole attack. . Virtual Infrastructure achieves reliable transmission in Mobile Ad Hoc Network. Black Hole Attack is the major problem to affect the Virtual Infrastructure. In this paper, approach on analyzing and improving the security of AODV, which is one of the popular routing protocols for MANET. Our aim is to ensuring the avoidance against Black hole attack.
Maximizing network interruption in wirelessIJCNCJournal
With the colossal growth of wireless sensor networks (WSNs) in different applications starting from home
automation to military affairs, the pressure on ensuring security in such a network is paramount.
Considering the security challenges, it is really a hard-hitting effort to develop a secured WSN system.
Moreover, as the information technology is getting popular, the intruders are also planning new ideas to
break the system security, to harm the network and to make the system quality down with the target of
taking the control of the network to corrupt it or to get benefits from it anyway. The intruders corrupt the
system only when the security breaking cost (SBC) is lower compared with the benefits they attained or the
harm it can make to others. In this paper, the authors define the term “maximizing network interruption
problem” and propose a technique, called the grid point approximation algorithm, to estimate the SBC of a
multi-hop WSN so that it can be made tougher for an intruder to break the system security. It is assumed
that the intruder has the complete picture of the entire network. The technique is designed from the
intruder’s point of view for completely jamming all the sensor nodes in the network through placing
jammers or malicious nodes strategically and at the same time keeping the number of jammer nodes to
minimum or near minimum. To the best of the authors’ knowledge, there is no work proposed so far of the
same kind. Experimental results with the changes of the different network parameters show that the
proposed algorithm is able to provide excellent performances to achieve the targets.
PERFORMANCE EVALUATION OF WIRELESS SENSOR NETWORK UNDER HELLO FLOOD ATTACKIJCNCJournal
Wireless sensor network (WSN) is highly used in many fields. The network consists of tiny lightweight
sensor nodes and is largely used to scan or detect or monitor environments. Since these sensor nodes are
tiny and lightweight, they put some limitations on resources such as usage of power, processing given task,
radio frequency range. These limitations allow network vulnerable to many different types of attacks such
as hello flood attack, black hole, Sybil attack, sinkhole, and many more. Among these attacks, hello flood is
one of the most important attacks. In this paper,we have analyzed the performance of hello flood attack and
compared the network performance as number of attackers increases. Network performance is evaluated
by modifying the ad-hoc on demand distance vector (AODV) routing protocol by using NS2 simulator. It
has been tested under different scenarios like no attacker, single attacker, and multiple attackers to know
how the network performance changes. The simulation results show that as the number of attackers
increases the performance in terms of throughput and delay changes.
A Novel Approach to Detect & Prevent Wormhole Attack over MANET & Sensor n/w ...IOSR Journals
Abstract: In Mobile Ad hoc Network (MANET) mobile node is responsible for route establishment using
wireless link where each node may behave like both as a host and router. MANET encounters number of
security threats because of its open entrusted environment, with little security arrangement, security over
MANET can be enhance up to some satisfactory level because of its inherent characteristics. Among some of
the prominent security threats wormhole attack is considered to be a very serious security threat over MANET.
In wormhole two selfish node which is geographically very far away to each other makes tunnel between each
other to hide their actual location and give the illusion that they are true neighbours and attract other nodes to
make conversation through the wormhole tunnel. Many researchers focused on detecting wormhole attack and
its prevention mechanism. It seems that in the previous technique there is a need to improve their results in the
brink of false negative rate, routing overhead etc. The present paper has proposed the hybrid model in order to
detect and prevent the wormhole attack. This approach has been work with neighbour node and hop count
method.
Keywords: Mobile Ad hoc Network, Selfish node, Malicious node, AODV
HIERARCHICAL DESIGN BASED INTRUSION DETECTION SYSTEM FOR WIRELESS AD HOC SENS...IJNSA Journal
In recent years, wireless ad hoc sensor network becomes popular both in civil and military jobs. However, security is one of the significant challenges for sensor network because of their deployment in open and unprotected environment. As cryptographic mechanism is not enough to protect sensor network from external attacks, intrusion detection system needs to be introduced. Though intrusion prevention mechanism is one of the major and efficient methods against attacks, but there might be some attacks for which prevention method is not known. Besides preventing the system from some known attacks, intrusion detection system gather necessary information related to attack technique and help in the development of intrusion prevention system. In addition to reviewing the present attacks available in wireless sensor network this paper examines the current efforts to intrusion detection
system against wireless sensor network. In this paper we propose a hierarchical architectural design based intrusion detection system that fits the current demands and restrictions of wireless ad hoc sensor network. In this proposed intrusion detection system architecture we followed clustering mechanism to build a four level hierarchical network which enhances network scalability to large geographical area and use both anomaly and misuse detection techniques for intrusion detection. We introduce policy based detection mechanism as well as intrusion response together with GSM cell concept for intrusion detection architecture.
Similar to Securing WSN communication using Enhanced Adaptive Acknowledgement Protocol (20)
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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2. 87 International Journal for Modern Trends in Science and Technology
Securing WSN communication using Enhanced Adaptive Acknowledgement protocol
simple. Any transmission can easily be intercepted,
altered, or replayed by an adversary. The wireless
medium allows an attacker to easily intercept valid
packets and easily inject malicious ones. Although
this problem is not unique to sensor networks,
traditional solutions must be adapted to efficiently
execute on sensor networks. [2]
B. Ad-Hoc Deployment
The ad-hoc nature of sensor networks means no
structure can be statically defined. The network
topology is always subject to changes due to node
failure, addition, or mobility. Nodes may be
deployed by airdrop, so nothing is known of the
topology prior to deployment. Since nodes may fail
or be replaced the network must support
self-configuration. Security schemes must be able
to operate within this dynamic environment.
C. Hostile Environment
The next challenging factor is the hostile
environment in which sensor nodes function.
Motes face the possibility of destruction or capture
by attackers. Since nodes may be in a hostile
environment, attackers can easily gain physical
access to the devices. Attackers may capture a
node, physically disassemble it, and extract from it
valuable information (e.g. cryptographic keys). The
highly hostile environment represents a serious
challenge for security researchers.
D. Resource Scarcity
The extreme resource limitations of sensor
devices pose considerable challenges to
resource-hungry security mechanisms. The
hardware constraints necessitate extremely
efficient security algorithms in terms of bandwidth,
computational complexity, and memory. This is no
trivial task. Energy is the most precious resource
for sensor networks. Communication is especially
expensive in terms of power. Clearly, security
mechanisms must give special effort to be
communication efficient in order to be energy
efficient. [3]
Security attacks and threats
Attacks on the sensor networks can be classified
[4] as following ways:
Interruption is a class of attack on WSN where
the availability of the sensor nodes is damaged.
It includes problems such as malicious content
insertion, capturing the nodes, corrupting
messages etc.
Interception is a class of attack on WSN where
the confidentiality of data that’s being
transmitted over the network is disclosed. It
includes unauthorized access to sensor node or
data within it.
Modification is a class of attack on WSN where
the integrity of data that’s being transmitted
over the network is modified. It includes the
modification of the data packets or causing
denial of service attack.
Fabrication is a class of attack on WSN where
the authentication for the transfer of control
information is altered. In this sort of attacks an
intruder injects false data and gains the
trustworthiness.
These are all the different classes of attacks that
may occur in sensor network. This classes of
attacks can be rectified by using some
acknowledgement schemes that ensure about the
attacks on which preventive actions can be taken.
But traditional acknowledgement schemes are
volatile for the attacks that are explained below
such as black hole and grey hole attacks.
A. Black Hole Attack:
A black hole attack is a kind of attack in WSN
where a malicious node in the sensor network
makes use of the routing information and
represents itself has the shortest path to the
destination node in the sensor network. After
representing itself has a shortest path to
destination node, the malicious node receives
routing packets and does not forward packets to its
neighbor nodes. This kind of malicious node is
called black hole [5]. After the creation of this black
hole in sensor network the source node sends out
its data packets to the black hole believing that it’s
the shortest path to destination node. Thus the
black hole receives all sent packets from the source
node and behalf of forwarding those data packets
to the destination it will simply discard those
packets. So the data packets obtained by the black
hole node will not arrive at the destination node.
B. Grey Hole Attack:
The grey hole attack was first described by Karlof
and Wagner [6]. This attack is sometimes also
called as selective forwarding. The grey hole attack
is a kind of attack in WSN where a malicious node
in the sensor network tries to stop the data packets
that are passing through it in a sensor network by
refusing to forward the data packets or dropping
the data packets passing through them. In this
3. 88 International Journal for Modern Trends in Science and Technology
Volume: 2 | Issue: 04 | April 2016 | ISSN: 2455-3778IJMTST
grey hole attack, the malicious node can selectively
drops the data packets coming from particular
sensor node. This selective dropping may create
DoS attack in the sensor network. In this sort of
attacks the malicious nodes may also behave like
black hole and refuses to forward the data packets
passing through them.
As explained above the black hole and grey hole
attacks are two severe attacks on WSN with passive
nature. Due to their passive nature the present
acknowledgements schemes are vulnerable to this
kind of attacks on WSN. The present
acknowledgement schemes are explained in next
section with their related work in field of WSN.
II. EXISTING SCHEMES
The nodes in WSNs assume that other nodes
always cooperate with each other in data
transmission. This assumption leaves the
attackers to cause significant impact on the
network with just one or two compromised nodes.
To address this problem, IDS should be added to
enhance the security level of WSNs. If WSN can
detect the attackers as soon as they enter the
network, we will be able to completely eliminate the
potential damages caused by compromised nodes.
In this paper, we discuss some of the security
schemes which are being used so far.
A. Watchdog
Marti et al. [7] proposed the Watchdog scheme. It
improves the throughput of network with the
presence of malicious nodes. The Watchdog
scheme consists of two parts i.e. ‘Watchdog’ and
‘Path-rater’.
Watchdog serves as an IDS for WSNs. It is
responsible to detect malicious node misbehavior
in the network. It detects the malicious
misbehaviors by listening to its next hop’s
transmission. If a Watchdog node overhears that
its next node fails to forward the packet within a
certain period of time, it increases its failure
counter. Whenever a node’s failure counter exceeds
a predefined threshold, the Watchdog node reports
it as misbehaving. In this case, the Path-rater
cooperates with the routing protocols to avoid the
reported nodes in future transmission.
The Watchdog scheme fails to detect malicious
misbehaviors with the presence of the following: 1)
ambiguous collisions; 2) receiver collisions; 3)
limited transmission power; 4) false misbehavior
report; 5) collusion; 6) partial dropping.
B. TWOACK
To overcome the weaknesses of the Watchdog
scheme, a new scheme named TWOACK was
proposed by Liu et al. [8] Aiming to resolve the
receiver collision and limited transmission power
problems of Watchdog, TWOACK detects
misbehaving links by acknowledging every data
packet transmitted over every three consecutive
nodes along the path from the source to the
destination.
Upon retrieval of a packet, each node along the
route is required to send back an acknowledgment
packet to the node that is two hops away from it
down the route. TWOACK is required to work on
routing protocols such as Dynamic Source Routing
(DSR) [9].
The receiver collision and limited transmission
power problems posed by Watchdog are solved by
this scheme. But the acknowledgment process
required in every packet transmission process
increased the network traffic. Due to the limited
battery power nature of WSNs, such redundant
transmission process can degrade the life span of
the entire network.
Fig 2: TWOACK Scheme
C. AACK
Sheltami et al. [10] proposed a new scheme called
AACK. Similar to TWOACK, AACK is an
acknowledgment-based network layer scheme
which is a combination of a scheme called
TWOACK and an end-to-end acknowledgment
scheme called ACKnowledge (ACK). Compared to
TWOACK, AACK significantly reduced network
overhead while still capable of maintaining or even
surpassing the same network throughput.
Within a predefined time period, if the source
node S receives this ACK acknowledgment packet,
then the packet transmission from source node S
to destination node D is successful. Otherwise, the
source node S will switch to TWOACK scheme by
sending out a ACK packet. This scheme reduces
the network overhead, but both TWOACK and
AACK fails to detect the malicious nodes and false
misbehavior reporting.
4. 89 International Journal for Modern Trends in Science and Technology
Securing WSN communication using Enhanced Adaptive Acknowledgement protocol
Fig 3: AACK Scheme
D. Digital Signature
Cryptography is the study of mathematical
techniques related to aspects of information
security such as confidentiality, data integrity,
entity authentication, and data origin
authentication [11]. Digital signature is a widely
adopted approach to ensure the authentication,
integrity, and nonrepudiation of WSNs. It can be
defined as a data string, which associates a
message in digital form with some originating
entity. Digital signature schemes can be mainly
divided into the following two categories.
1) Digital signature with appendix: The original
message is required in the signature verification
algorithm. Examples include a digital signature
algorithm (DSA) [12].
2) Digital signature with message recovery: This
type of scheme does not require any other
information besides the signature itself in the
verification process. Examples include RSA [11].
Fig 4: Communication using Digital Signature
III. ENHANCED ADAPTIVE ACKNOWLEDGEMENT
SCHEME
In order to overcome the drawbacks of the above
discussed scheme, the Enhanced Adaptive
Acknowledgement scheme (EAACK) was
introduced. EAACK is consisted of three major
parts, namely, ACK, Secure ACK (S-ACK), and
misbehavior report authentication (MRA)[12].
A. ACK
ACK is basically an end-to-end acknowledgment
scheme. It acts as a part of the hybrid scheme in
EAACK, aiming to reduce network overhead when
no network misbehavior is detected. If the ACK
packet doesn’t reach the source in predefined
period of time then S-ACK scheme will be adopted
for the network.
B. S-ACK
The S-ACK scheme is an improved version of the
TWOACK. Here every three consecutive nodes work
in a group to detect misbehaving nodes. For every
three consecutive nodes in the route, the third
node is required to send an S-ACK
acknowledgment packet to the first node. The
intention of introducing S-ACK mode is to detect
misbehaving nodes in the presence of receiver
collision or limited transmission power.
C. MRA
The false misbehavior report can be generated by
malicious attackers to falsely report innocent
nodes as malicious. The Misbehavior Report
Authentication scheme (MRA) is designed to detect
misbehaving nodes with the presence of false
misbehavior report. This scheme authenticates
whether the destination node has received the
reported missing packet.
To initiate the MRA mode, the node which creates
the MRA packet is expected to digitally sign the
packet. This digital signature can be done by only
the authenticated nodes. If the digital signature
does not match with the authenticated digital
signature then ‘false misbehavior’ is reported.
These nodes are labeled malicious and are
neglected for further transmission.
CONCLUSION
In this paper, an enhanced and adaptive
acknowledgement scheme has been proposed to
introduce security into a wireless sensor network.
The main advantage of this scheme is to detect
false misbehavior reporting and the malicious node
responsible for it. The involvement of digital
signature in every MRA packet promotes
authenticity and also reduces network traffic.
Hence the proposed EAACK scheme helps to
uphold the security goals of the wireless sensor
networks.
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Volume: 2 | Issue: 04 | April 2016 | ISSN: 2455-3778IJMTST
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