Mobile network is a set of wireless device called wireless nodes(mobile, Laptop) which are dynamically connect and transfer the information. In MANET nodes can be source, destination and intermediate node of data transmission.
This document summarizes a research paper that proposes a new security algorithm called a modified cooperative bait detection scheme to detect black hole attacks in the Dynamic Source Routing (DSR) protocol for mobile ad hoc networks. The proposed approach involves three steps: 1) initial setup to detect potential malicious nodes, 2) attack identification using reverse tracing to find harmful and non-harmful nodes in the transmission path, and 3) a reactive protection step to locate malicious locations based on energy cost. Experimental results showed that the proposed method performed better than existing approaches in terms of detection accuracy, misclassification rate, detection time, and other metrics.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
A new ids scheme against blackhole attack to enhance security in wireless net...eSAT Journals
Abstract The aim of this paper is to protect the wireless network against the blackhole attack. Blackhole attack, as the name suggest, drops all the packets forwarded to it. In this paper, we have proposed an intrusion detection system (IDS) scheme to detect the malicious node (blackhole node) and to nullify its effect in the network. The proposed IDS scheme in the presence of blackhole attack gives approximately similar result as that of in the absence of attack. The network comprises for the three modules (i) Default AODV, (ii) AODV in the presence of blackhole attack and (iii) IDS scheme in the presence of attack by considering some parameters such as end to end delay, throughput, packet delivery ratio, normalized routing load etc. The proposed algorithm has been simulated on Network Simulator version-2 (NS-2). Key Words: AODV, Blackhole attack, DSN, IDS scheme, routing misbehavior, security
Detecting Misbehavior Nodes Using Secured Delay Tolerant NetworkIRJET Journal
This document proposes a method called Statistical-based Detection of Blackhole and Greyhole attackers (SDBG) to detect misbehaving nodes in delay tolerant networks. SDBG can detect both individual misbehaving nodes as well as nodes that are colluding together. It works by having each node record encounter data with other nodes, including the number of messages sent and received. Individual nodes that drop many messages can be detected based on having a low message forwarding ratio. Colluding nodes can be detected because they will have sent many messages to each other to fake good behavior. The method aims to accurately detect misbehaving nodes while keeping false positives low. Extensive simulations showed it can work well across different network conditions.
S IMULATION B ASED S TUDY OF C OOPERATIVE B LACK H OLE A TTACK R ESOLU...pijans
An Ad hoc Network is a pool of wireless mobile node
s energetically forming a network without the use o
f
any pre-accessible network infrastructure or centra
lized administrator. These nodes communicate with
each other by hop-to-hop communication. This dynami
c topology of mobile ad-hoc networks (MANETs)
allows nodes to get attached and leave the network
at any second of time. Thus MANET can be used in a
variety of fields. Current MANETs are designed prim
ary for military utility. This generic characterist
ic of
MANET has rendered its vulnerability to security at
tacks. Due to which unprotected attacks of the
malicious nodes can occur at any time. This paper f
ocuses on one such attack known as “Black hole
attack” and the routing protocol being used here is
AODV
Defending against collaborative attacks byranjith kumar
Dear Student,
DREAMWEB TECHNO SOLUTIONS is one of the Hardware Training and Software Development centre available in
Trichy. Pioneer in corporate training, DREAMWEB TECHNO SOLUTIONS provides training in all software
development and IT-related courses, such as Embedded Systems, VLSI, MATLAB, JAVA, J2EE, CIVIL,
Power Electronics, and Power Systems. It’s certified and experienced faculty members have the
competence to train students, provide consultancy to organizations, and develop strategic
solutions for clients by integrating existing and emerging technologies.
ADD: No:73/5, 3rd Floor, Sri Kamatchi Complex, Opp City Hospital, Salai Road, Trichy-18
Contact @ 7200021403/04
phone: 0431-4050403
JPN1422 Defending Against Collaborative Attacks by Malicious Nodes in MANETs...chennaijp
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/
This document summarizes a research paper that proposes a new security algorithm called a modified cooperative bait detection scheme to detect black hole attacks in the Dynamic Source Routing (DSR) protocol for mobile ad hoc networks. The proposed approach involves three steps: 1) initial setup to detect potential malicious nodes, 2) attack identification using reverse tracing to find harmful and non-harmful nodes in the transmission path, and 3) a reactive protection step to locate malicious locations based on energy cost. Experimental results showed that the proposed method performed better than existing approaches in terms of detection accuracy, misclassification rate, detection time, and other metrics.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
A new ids scheme against blackhole attack to enhance security in wireless net...eSAT Journals
Abstract The aim of this paper is to protect the wireless network against the blackhole attack. Blackhole attack, as the name suggest, drops all the packets forwarded to it. In this paper, we have proposed an intrusion detection system (IDS) scheme to detect the malicious node (blackhole node) and to nullify its effect in the network. The proposed IDS scheme in the presence of blackhole attack gives approximately similar result as that of in the absence of attack. The network comprises for the three modules (i) Default AODV, (ii) AODV in the presence of blackhole attack and (iii) IDS scheme in the presence of attack by considering some parameters such as end to end delay, throughput, packet delivery ratio, normalized routing load etc. The proposed algorithm has been simulated on Network Simulator version-2 (NS-2). Key Words: AODV, Blackhole attack, DSN, IDS scheme, routing misbehavior, security
Detecting Misbehavior Nodes Using Secured Delay Tolerant NetworkIRJET Journal
This document proposes a method called Statistical-based Detection of Blackhole and Greyhole attackers (SDBG) to detect misbehaving nodes in delay tolerant networks. SDBG can detect both individual misbehaving nodes as well as nodes that are colluding together. It works by having each node record encounter data with other nodes, including the number of messages sent and received. Individual nodes that drop many messages can be detected based on having a low message forwarding ratio. Colluding nodes can be detected because they will have sent many messages to each other to fake good behavior. The method aims to accurately detect misbehaving nodes while keeping false positives low. Extensive simulations showed it can work well across different network conditions.
S IMULATION B ASED S TUDY OF C OOPERATIVE B LACK H OLE A TTACK R ESOLU...pijans
An Ad hoc Network is a pool of wireless mobile node
s energetically forming a network without the use o
f
any pre-accessible network infrastructure or centra
lized administrator. These nodes communicate with
each other by hop-to-hop communication. This dynami
c topology of mobile ad-hoc networks (MANETs)
allows nodes to get attached and leave the network
at any second of time. Thus MANET can be used in a
variety of fields. Current MANETs are designed prim
ary for military utility. This generic characterist
ic of
MANET has rendered its vulnerability to security at
tacks. Due to which unprotected attacks of the
malicious nodes can occur at any time. This paper f
ocuses on one such attack known as “Black hole
attack” and the routing protocol being used here is
AODV
Defending against collaborative attacks byranjith kumar
Dear Student,
DREAMWEB TECHNO SOLUTIONS is one of the Hardware Training and Software Development centre available in
Trichy. Pioneer in corporate training, DREAMWEB TECHNO SOLUTIONS provides training in all software
development and IT-related courses, such as Embedded Systems, VLSI, MATLAB, JAVA, J2EE, CIVIL,
Power Electronics, and Power Systems. It’s certified and experienced faculty members have the
competence to train students, provide consultancy to organizations, and develop strategic
solutions for clients by integrating existing and emerging technologies.
ADD: No:73/5, 3rd Floor, Sri Kamatchi Complex, Opp City Hospital, Salai Road, Trichy-18
Contact @ 7200021403/04
phone: 0431-4050403
JPN1422 Defending Against Collaborative Attacks by Malicious Nodes in MANETs...chennaijp
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/
Modified AODV Algorithm using Data Mining Process: Classification and Clusteringidescitation
Security of Wireless Ad hoc network has a primary
concern to provide protected communication between mobile
nodes. When we routing some packet it can use both malicious
node or authenticate node for forwarding and receiving data.
Malicious node can attack like black hole, misuse of data or
hacked information. Our aim is to discuss the feasibility of
monitoring the node of different networks, to analyze it for
providing better security in AODV routing protocol. We
implement data mining techniques for search large amount
of data according characteristic rules and patterns to detect
malicious node. We have used growing neural gas (GNS)
clustering algorithm to make clusters and analysis data. Using
soft computing technique we find patterns, analysis node and
take decision based on decision tree.
Performance Comparison of Cluster based and Threshold based Algorithms for De...Eswar Publications
In mobile ad-hoc networks (MANET), the movement of the nodes may quickly change the networks topology resulting in the increase of the overhead message in topology maintenance. The nodes communicate with each other by exchanging the hello packet and constructing the neighbor list at each node. MANET is vulnerable to attacks such as black hole attack, gray hole attack, worm hole attack and sybil attack. A black hole attack makes a serious impact on routing, packet delivery ratio, throughput, and end to end delay of packets. In this paper, the performance comparison of clustering based and threshold based algorithms for detection and prevention of
cooperative in MANETs is examined. In this study every node is monitored by its own cluster head (CH), while server (SV) monitors the entire network by channel overhearing method. Server computes the trust value based on sent and receive count of packets of the receiver node. It is implemented using AODV routing protocol in the NS2 simulations. The results are obtained by comparing the performance of clustering based and threshold based methods by varying the concentration of black hole nodes and are analyzed in terms of throughput,
packet delivery ratio. The results demonstrate that the threshold based method outperforms the clustering based method in terms of throughput, packet delivery ratio and end to end delay.
Scale-Free Networks to Search in Unstructured Peer-To-Peer NetworksIOSR Journals
This document discusses using scale-free networks to improve search efficiency in unstructured peer-to-peer networks. It proposes the EQUATOR architecture, which creates an overlay network topology based on the scale-free Barabasi-Albert model. Simulation results show that EQUATOR achieves good lookup performance comparable to the ideal Barabasi-Albert network, with low message overhead even under node churn. The scale-free topology allows random walks to efficiently locate resources by directing searches to high-degree "hub" nodes with greater knowledge of the network.
DESIGN OF A SCHEME FOR SECURE ROUTING IN MOBILE AD HOC NETWORKScscpconf
Security has become a primary concern in order to provide protected communication between
mobile nodes in a hostile environment. Unlike the wireline networks, the unique characteristics
of mobile ad hoc networks pose a number of nontrivial challenges to security design, such as
open peer-to-peer network architecture, shared wireless medium, stringent resource constraints,
and highly dynamic network topology. These challenges clearly make a case for building
multifence security solutions that achieve both broad protection and desirable network
performance. So,we focus on the fundamental security problem of protecting the multihop
network connectivity between mobile nodes in a MANET. We identify the security issues related
to this problem, discuss the challenges to security design, and review the state of-the-art security
proposals that protect the MANET link- and network-layer operations of delivering packets over the multihop wireless channel.
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
The document describes a source location privacy scheme for wireless sensor networks. It aims to hide the location of transmitting nodes from unauthorized parties. The scheme uses cluster-based anonymization and random routing. Node identities are anonymized by cluster heads assigning random numbers. Messages are then randomly routed across the network before reaching the base station. The scheme is evaluated using an information theoretic privacy measure index that considers the degree of privacy from anonymization and routing. Simulation results show the scheme achieves high privacy levels over 70% while increasing average message delay by a factor of 10 compared to schemes without privacy protections.
Comprehensive Study of Counter-acting Security Threats in Mobile Ad Hoc Networksdrsrinivasanvenkataramani
This document summarizes various approaches for providing security in mobile ad hoc networks (MANETs). It discusses solutions that use cryptography and public/private keys to secure routing, as well as approaches based on trust, observation, and reputation. It also reviews methods for detecting node capture attacks and forged routing messages. The document surveys the strengths and limitations of different secure methods and their tradeoffs between security and efficiency.
The document presents a compartmental model for characterizing the spread of malware in peer-to-peer (P2P) networks like Gnutella. The model partitions peers into compartments based on their state - those wishing to download (S), currently downloading (E), having downloaded (I), and no longer interested (R). Differential equations track changes between compartments over time. Simulation results show the model effectively captures the impact of parameters like peer online/offline switching rates and quarantine strategies on malware intensity. The model improves on prior work by incorporating user behavior dynamics and limiting malware spread to a node's time-to-live range.
Privacy Preserving and Detection Techniques for Malicious Packet Dropping in ...IRJET Journal
This document discusses techniques for detecting malicious packet dropping in wireless ad hoc networks. It begins with an introduction to wireless ad hoc networks and the security issues they face, such as packet dropping attacks. It then reviews existing literature on detecting such attacks using techniques like reputation systems. The document proposes a new detection mechanism that calculates the auto-correlation function of packet loss bitmaps to identify correlations between lost packets and determine if packet dropping is intentional. It describes the key phases of this approach, including key generation, auditing suspected nodes, and detecting malicious nodes. Finally, it discusses using randomized routing to mitigate the effects of detected packet dropping attacks.
This document summarizes and compares four routing algorithms for mobile ad hoc networks: Disjoint Multipath Routing, Trust based Multipath Routing, Message Trust based Multipath Routing, and a new proposed algorithm called Friend Based Ad-hoc Routing. It describes the key mechanisms of each algorithm, including how they establish routes, incorporate trust levels, and handle packet routing. The proposed FACES algorithm aims to improve security and efficiency by using friend, unauthenticated, and question mark lists to identify trusted routes and avoid malicious nodes.
ATMC: Anonymity and Trust Management Scheme Applied to Clustered Wireless Sen...IDES Editor
Wireless Sensor Networks consists of sensor nodes
that are capable of sensing the information and maintaining
security. In this paper, an Anonymity and Trust Management
Scheme applied to Clustered Wireless Sensor Networks
(ATMC) is proposed which enhances the security level. It also
provides a stable path for communication. It is observed that
the performance of the network is better than existing schemes
through simulation
An Efficient Secured And Inspection of Malicious Node Using Double Encryption...IRJET Journal
This document proposes a method called Statistical-based Detection of Black hole and Grey hole attackers (SDBG) to detect both individual and colluding attacks in delay tolerant networks (DTNs). SDBG works by having a trusted authority monitor nodes' behavior based on their encounter records, message records, and forwarding histories. It aims to improve detection accuracy and reduce the impact of false positives compared to existing detection methods. The methodology involves network and authority creation, route finding and data forwarding, and detecting colluding attacks based on monitoring nodes' interactions and messages. Simulation results show SDBG can effectively detect attacks with varying drop rates even under collusion with high accuracy and low false positives.
In this paper we propose a system that allows a safe and secure data transfer in MANETs between the source and the destination. As MANETs are unplanned networks and networks of instant communication, they are prone to attacks like disclosure, brute force attacks etc. In this paper we mainly concentrate on limiting the disclosure attacks in MANETs. Disclosure attack means that the network is monitored quietly without modifying it. The monitoring of network is possible only if the traffic is known. Hiding of traffic between the source and destination would prevent disclosure attacks in MANETs. To hide the traffic between the source and destination we must identify it. The traffic is identified using STARS(Statistical Traffic Pattern Discovery System for MANETs) technique. Using this technique, the traffic is made observable only for the intermediary nodes and the data is sent via intermediary nodes to the destination as single hop. The data which is sent as single hop by hop via intermediary nodes prevents the malicious node from knowing the original source and destination and thus preventing MANETs from disclosure attack.
Elimination of Malicious Node by using Clustering Technique in Mobile Ad Hoc ...IRJET Journal
This document discusses techniques for eliminating malicious nodes in mobile ad hoc networks (MANETs) through clustering. Specifically, it proposes finding a single trusted cluster head node based on both transmission range and highest energy, rather than just highest energy, in order to avoid selecting malicious nodes as cluster heads. The proposed approach is tested through simulation in NS2, showing improved network performance compared to existing techniques. Distributed denial of service (DDoS) attacks pose a challenge in MANETs due to their open nature, and trust-based routing protocols have been developed to help mitigate such attacks by identifying malicious or untrusted nodes.
Security Enhancement using Trust Management in MANETsIJTET Journal
Abstract— The distinctive options of mobile ad hoc networks (MANETs), victimization recent advances in unsure reasoning originated from AI community, we tend to projected a unified trust management schemes Mobile Ad-hoc networks area unit self-organizing and self re-configuring multi hop wireless networks wherever, the structure of the network changes dynamically the safety of the OLSR protocol is rib by a selected variety of attack known as ‗Black Hole‘ attack. During this attack a malicious node advertises itself as having the shortest path to the destination node. To combat with region attack, it\'s projected to attend and check the replies from all the neighboring nodes to search out a secure route with protection to our data, however this approach suffers from high delay. Associate in Nursing approach is projected to combat the region attack by victimization Trust management schemes with neighbors WHO claim to possess a route to destination. during this project we tend to area unit victimization NS2.34 software system for our projected model testing. and that we got the simplest result against the safety attack.
Behavioral Model to Detect Anomalous Attacks in Packet TransmissionIOSR Journals
This document summarizes a proposed behavioral model to detect anomalous attacks in packet transmission in wireless networks. The model aims to identify packet droppers and modifiers by having nodes monitor their neighbors' forwarding behaviors over time. A tree-based routing structure is used, where each packet is marked as it travels toward the sink node. The marks provide information to help the sink node determine which nodes are misbehaving. The proposed scheme aims to gradually identify bad nodes through statistical analysis of their behaviors across different network topologies over time, with low false positives. It aims to catch both packet droppers and modifiers within a single detection module.
Interference Minimization Protocol in Heterogeneous Wireless Sensor Network f...IJERA Editor
1) The document describes a proposed Interference Minimization Protocol (IMP) for heterogeneous wireless sensor networks (HTWSNs) to improve quality of data transmission. 2) HTWSNs experience interference during data transmission that degrades quality, and IMP aims to minimize this interference by estimating link capacities and identifying high interference areas. 3) Simulation results show that IMP reduces interference and energy consumption compared to not using the protocol, especially with multiple events occurring simultaneously in the network.
Reliability Evaluation and Analysis of Mobile Ad Hoc Networks IJECEIAES
The paper addresses the reliability problem of mobile ad hoc networks under link and node failure model. Node reliability is calculated as a function of no. of neighbor nodes, packet success rate, and device type and packet size. The presence of a link between any node pair is binary and its reliability is computed considering the distance between nodes and signal-to-noise ratio (SNR). An efficient algorithm is proposed to analyze and calculate the reliability of mobile ad hoc networks considering multiple routes from source and destination nodes. The effect of different parameters on node reliability and link reliability are analyzed and discussed. The network is simulated and analyzed using INET frame work. Reliability of two distinct cases of this simulation is evaluated. The simulated results and discussions ensure that evaluation of the reliability of any mobile ad hoc networks can be done easily and in an efficient manner by the proposed method.
A novel defence scheme against selfish Node attack in manetijcsa
This document proposes a new intrusion detection system (IDS) algorithm to defend against selfish node attacks in mobile ad hoc networks (MANETs). Selfish nodes flood the network with false information and drop packets from other nodes. The proposed IDS identifies selfish node behavior and blocks their activities. Simulation results show the IDS enhances network performance from negligible to 92% and prevents infection from attacks. The IDS is integrated with the AODV routing protocol to detect and eliminate selfish nodes within its transmission range.
This document summarizes a research paper that simulates the Ad Hoc On-Demand Distance Vector (AODV) routing protocol under black hole attacks in mobile ad hoc networks (MANETs). The paper analyzes how black hole attacks affect key AODV routing metrics like packet delivery ratio and end-to-end delay. Through simulations with varying numbers of nodes, the paper finds that black hole attacks significantly reduce packet delivery ratios by diverting traffic to malicious nodes. The simulations provide insight into how AODV performance degrades under such attacks.
Generating images from a text description is as challenging as it is interesting. The Adversarial network
performs in a competitive fashion where the networks are the rivalry of each other. With the introduction of
Generative Adversarial Network, lots of development is happening in the field of Computer Vision. With
generative adversarial networks as the baseline model, studied Stack GAN consisting of two-stage GANS
step-by-step in this paper that could be easily understood. This paper presents visual comparative study of
other models attempting to generate image conditioned on the text description. One sentence can be related
to many images. And to achieve this multi-modal characteristic, conditioning augmentation is also
performed. The performance of Stack-GAN is better in generating images from captions due to its unique
architecture. As it consists of two GANS instead of one, it first draws a rough sketch and then corrects the
defects yielding a high-resolution image.
Modified AODV Algorithm using Data Mining Process: Classification and Clusteringidescitation
Security of Wireless Ad hoc network has a primary
concern to provide protected communication between mobile
nodes. When we routing some packet it can use both malicious
node or authenticate node for forwarding and receiving data.
Malicious node can attack like black hole, misuse of data or
hacked information. Our aim is to discuss the feasibility of
monitoring the node of different networks, to analyze it for
providing better security in AODV routing protocol. We
implement data mining techniques for search large amount
of data according characteristic rules and patterns to detect
malicious node. We have used growing neural gas (GNS)
clustering algorithm to make clusters and analysis data. Using
soft computing technique we find patterns, analysis node and
take decision based on decision tree.
Performance Comparison of Cluster based and Threshold based Algorithms for De...Eswar Publications
In mobile ad-hoc networks (MANET), the movement of the nodes may quickly change the networks topology resulting in the increase of the overhead message in topology maintenance. The nodes communicate with each other by exchanging the hello packet and constructing the neighbor list at each node. MANET is vulnerable to attacks such as black hole attack, gray hole attack, worm hole attack and sybil attack. A black hole attack makes a serious impact on routing, packet delivery ratio, throughput, and end to end delay of packets. In this paper, the performance comparison of clustering based and threshold based algorithms for detection and prevention of
cooperative in MANETs is examined. In this study every node is monitored by its own cluster head (CH), while server (SV) monitors the entire network by channel overhearing method. Server computes the trust value based on sent and receive count of packets of the receiver node. It is implemented using AODV routing protocol in the NS2 simulations. The results are obtained by comparing the performance of clustering based and threshold based methods by varying the concentration of black hole nodes and are analyzed in terms of throughput,
packet delivery ratio. The results demonstrate that the threshold based method outperforms the clustering based method in terms of throughput, packet delivery ratio and end to end delay.
Scale-Free Networks to Search in Unstructured Peer-To-Peer NetworksIOSR Journals
This document discusses using scale-free networks to improve search efficiency in unstructured peer-to-peer networks. It proposes the EQUATOR architecture, which creates an overlay network topology based on the scale-free Barabasi-Albert model. Simulation results show that EQUATOR achieves good lookup performance comparable to the ideal Barabasi-Albert network, with low message overhead even under node churn. The scale-free topology allows random walks to efficiently locate resources by directing searches to high-degree "hub" nodes with greater knowledge of the network.
DESIGN OF A SCHEME FOR SECURE ROUTING IN MOBILE AD HOC NETWORKScscpconf
Security has become a primary concern in order to provide protected communication between
mobile nodes in a hostile environment. Unlike the wireline networks, the unique characteristics
of mobile ad hoc networks pose a number of nontrivial challenges to security design, such as
open peer-to-peer network architecture, shared wireless medium, stringent resource constraints,
and highly dynamic network topology. These challenges clearly make a case for building
multifence security solutions that achieve both broad protection and desirable network
performance. So,we focus on the fundamental security problem of protecting the multihop
network connectivity between mobile nodes in a MANET. We identify the security issues related
to this problem, discuss the challenges to security design, and review the state of-the-art security
proposals that protect the MANET link- and network-layer operations of delivering packets over the multihop wireless channel.
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
The document describes a source location privacy scheme for wireless sensor networks. It aims to hide the location of transmitting nodes from unauthorized parties. The scheme uses cluster-based anonymization and random routing. Node identities are anonymized by cluster heads assigning random numbers. Messages are then randomly routed across the network before reaching the base station. The scheme is evaluated using an information theoretic privacy measure index that considers the degree of privacy from anonymization and routing. Simulation results show the scheme achieves high privacy levels over 70% while increasing average message delay by a factor of 10 compared to schemes without privacy protections.
Comprehensive Study of Counter-acting Security Threats in Mobile Ad Hoc Networksdrsrinivasanvenkataramani
This document summarizes various approaches for providing security in mobile ad hoc networks (MANETs). It discusses solutions that use cryptography and public/private keys to secure routing, as well as approaches based on trust, observation, and reputation. It also reviews methods for detecting node capture attacks and forged routing messages. The document surveys the strengths and limitations of different secure methods and their tradeoffs between security and efficiency.
The document presents a compartmental model for characterizing the spread of malware in peer-to-peer (P2P) networks like Gnutella. The model partitions peers into compartments based on their state - those wishing to download (S), currently downloading (E), having downloaded (I), and no longer interested (R). Differential equations track changes between compartments over time. Simulation results show the model effectively captures the impact of parameters like peer online/offline switching rates and quarantine strategies on malware intensity. The model improves on prior work by incorporating user behavior dynamics and limiting malware spread to a node's time-to-live range.
Privacy Preserving and Detection Techniques for Malicious Packet Dropping in ...IRJET Journal
This document discusses techniques for detecting malicious packet dropping in wireless ad hoc networks. It begins with an introduction to wireless ad hoc networks and the security issues they face, such as packet dropping attacks. It then reviews existing literature on detecting such attacks using techniques like reputation systems. The document proposes a new detection mechanism that calculates the auto-correlation function of packet loss bitmaps to identify correlations between lost packets and determine if packet dropping is intentional. It describes the key phases of this approach, including key generation, auditing suspected nodes, and detecting malicious nodes. Finally, it discusses using randomized routing to mitigate the effects of detected packet dropping attacks.
This document summarizes and compares four routing algorithms for mobile ad hoc networks: Disjoint Multipath Routing, Trust based Multipath Routing, Message Trust based Multipath Routing, and a new proposed algorithm called Friend Based Ad-hoc Routing. It describes the key mechanisms of each algorithm, including how they establish routes, incorporate trust levels, and handle packet routing. The proposed FACES algorithm aims to improve security and efficiency by using friend, unauthenticated, and question mark lists to identify trusted routes and avoid malicious nodes.
ATMC: Anonymity and Trust Management Scheme Applied to Clustered Wireless Sen...IDES Editor
Wireless Sensor Networks consists of sensor nodes
that are capable of sensing the information and maintaining
security. In this paper, an Anonymity and Trust Management
Scheme applied to Clustered Wireless Sensor Networks
(ATMC) is proposed which enhances the security level. It also
provides a stable path for communication. It is observed that
the performance of the network is better than existing schemes
through simulation
An Efficient Secured And Inspection of Malicious Node Using Double Encryption...IRJET Journal
This document proposes a method called Statistical-based Detection of Black hole and Grey hole attackers (SDBG) to detect both individual and colluding attacks in delay tolerant networks (DTNs). SDBG works by having a trusted authority monitor nodes' behavior based on their encounter records, message records, and forwarding histories. It aims to improve detection accuracy and reduce the impact of false positives compared to existing detection methods. The methodology involves network and authority creation, route finding and data forwarding, and detecting colluding attacks based on monitoring nodes' interactions and messages. Simulation results show SDBG can effectively detect attacks with varying drop rates even under collusion with high accuracy and low false positives.
In this paper we propose a system that allows a safe and secure data transfer in MANETs between the source and the destination. As MANETs are unplanned networks and networks of instant communication, they are prone to attacks like disclosure, brute force attacks etc. In this paper we mainly concentrate on limiting the disclosure attacks in MANETs. Disclosure attack means that the network is monitored quietly without modifying it. The monitoring of network is possible only if the traffic is known. Hiding of traffic between the source and destination would prevent disclosure attacks in MANETs. To hide the traffic between the source and destination we must identify it. The traffic is identified using STARS(Statistical Traffic Pattern Discovery System for MANETs) technique. Using this technique, the traffic is made observable only for the intermediary nodes and the data is sent via intermediary nodes to the destination as single hop. The data which is sent as single hop by hop via intermediary nodes prevents the malicious node from knowing the original source and destination and thus preventing MANETs from disclosure attack.
Elimination of Malicious Node by using Clustering Technique in Mobile Ad Hoc ...IRJET Journal
This document discusses techniques for eliminating malicious nodes in mobile ad hoc networks (MANETs) through clustering. Specifically, it proposes finding a single trusted cluster head node based on both transmission range and highest energy, rather than just highest energy, in order to avoid selecting malicious nodes as cluster heads. The proposed approach is tested through simulation in NS2, showing improved network performance compared to existing techniques. Distributed denial of service (DDoS) attacks pose a challenge in MANETs due to their open nature, and trust-based routing protocols have been developed to help mitigate such attacks by identifying malicious or untrusted nodes.
Security Enhancement using Trust Management in MANETsIJTET Journal
Abstract— The distinctive options of mobile ad hoc networks (MANETs), victimization recent advances in unsure reasoning originated from AI community, we tend to projected a unified trust management schemes Mobile Ad-hoc networks area unit self-organizing and self re-configuring multi hop wireless networks wherever, the structure of the network changes dynamically the safety of the OLSR protocol is rib by a selected variety of attack known as ‗Black Hole‘ attack. During this attack a malicious node advertises itself as having the shortest path to the destination node. To combat with region attack, it\'s projected to attend and check the replies from all the neighboring nodes to search out a secure route with protection to our data, however this approach suffers from high delay. Associate in Nursing approach is projected to combat the region attack by victimization Trust management schemes with neighbors WHO claim to possess a route to destination. during this project we tend to area unit victimization NS2.34 software system for our projected model testing. and that we got the simplest result against the safety attack.
Behavioral Model to Detect Anomalous Attacks in Packet TransmissionIOSR Journals
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A novel defence scheme against selfish Node attack in manetijcsa
This document proposes a new intrusion detection system (IDS) algorithm to defend against selfish node attacks in mobile ad hoc networks (MANETs). Selfish nodes flood the network with false information and drop packets from other nodes. The proposed IDS identifies selfish node behavior and blocks their activities. Simulation results show the IDS enhances network performance from negligible to 92% and prevents infection from attacks. The IDS is integrated with the AODV routing protocol to detect and eliminate selfish nodes within its transmission range.
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PERUSAL OF INTRUSION DETECTION AND PREVENTION SYSTEM ON A MANET WITH BLACK HO...ijsptm
MANET is a self configuring network of nodes which is a wireless . The nodes in this network move
randomly .Mobility of nodes is more. The nodes are dynamic and infrastructure less ,self maintainable. In
MANET there are many types of security attacks like Blackhole, greyhole attack, wormhole, jellyfish etc.
When the MANET is under blackhole attack there is a loss of energy which is high at the node resulting in
loss of battery backup and also excess of bandwidth may be consumed by the attacker. The attacker is an
insider. Among various mobility models to generate mobility patterns the Random waypoint mobility
model is used .To solve these issues an IDPS framework for MANET using image processing techniques
under blackhole attack is proposed to detect the blackhole attack RREP by providing security services like
authentication and confidentiality.
This document summarizes research on the performance impact of black hole attacks on mobile ad hoc networks (MANETs) using different routing protocols. The researchers conducted simulations using OPNET to evaluate the effects of black hole attacks on network throughput, delay, and load under three routing protocols: AODV, OLSR, and DSR. With AODV, the presence of black hole attackers significantly reduced throughput and increased delay by discarding packets. OLSR was not significantly affected by attackers. With DSR, throughput increased over time with attackers due to increasing discarded packets. The research analyzed how black hole attacks degrade MANET performance depending on the routing protocol used.
Proposed Agent Based Black hole Node Detection Algorithm for Ad-Hoc Wireless...ijcsa
A Mobile ad-hoc network (MANET) is a latest and eme
rging Research topic among researchers. The
reason behind the popularity of MANET is flexibilit
y and independence of network infrastructure. MANET
has some unique characteristic like dynamic network
topology, limited power and limited bandwidth for
communication. MANET has more challenge compare to
any other conventional network. However the
dynamical network topology of MANETs, infrastructur
e-less property and lack of certificate authority m
ake
the security problems of MANETs need to pay more at
tention. This paper represents review of layer wise
security attacks. It also discussed the issues and
challenges of mobile ad hoc network. On the importa
nce of
security issues, this paper proposed intrusion dete
ction framework for detecting network layer threats
such
as black hole attack.
Cooperative Black Hole Attack Prevention by Particle Swarm Optimization with ...IJARIIT
MANET (Mobile Ad Hoc Network) is a type of ad hoc network that can change locations and configure
itself, because of moving of nodes. As MANETs are mobile in nature, they use wireless connections to connect various
networks without infrastructure or any centralized administration. Open medium, dynamic topology, distributed
cooperation are the characteristics of MANET and hence ad hoc networks are open to different types of security
attacks. A Grey hole is a node that selectively drops and forwards data packets after advertises itself as having the
shortest path to the destination node in response to a route request message. Our mechanism helps to protect the
network by detecting and reacting to malicious activities of any node. The results enable us to minimize the attacks on
integrated MANET-Internet communication efficiently. Simulation will be carried out by using network simulator
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uses Particle swarm optimization(PSO).Which monitors by changing its values because of adhoc nature ,if node
converge then it change its value infinite and prevent the node to send packet.
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
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This document discusses the performance analysis and minimization of black hole attacks in mobile ad hoc networks (MANETs). It begins with an introduction to MANETs and discusses how they are vulnerable to black hole attacks. The document then describes the AODV routing protocol and how black hole attacks exploit vulnerabilities in the route discovery process. Existing detection and prevention techniques are outlined. The document proposes modifying the AODV protocol to implement an intrusion detection system (IDSAODV) that can detect and discard fraudulent route replies from black hole nodes, improving packet delivery. Simulation scenarios of varying node counts with and without black holes are used to analyze black hole behavior and evaluate the effectiveness of the IDSAODV approach.
A Multiparametric Reliable AODV Protocol using Alternate Routing in MANET’s u...Editor IJCATR
In this paper, we design and formulate a trust-based routing protocol for secure transactions, such as military and disaster
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shows that proposed scheme has less packet loss and packet ratio delivered is more.
Black Hole Attack Prevention Using Random Dispersive Routing for Mobile Adhoc...pijans
Mobile Adhoc Networks is a wireless network and it has become an important technology in current years
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security attacks in mobile ad hoc networks which block the communication of secret data during packet
delivery. Black hole attack directly attacks the node’s data traffic on the path and with intent drops, alters
or delays the data traffic passing through that node. In other type of black hole attack which misleadingly
replies for the route request which comes from the node which initiates the route discovery process that it
has as much as necessary routes to the destination even it does not have path to the destination. This paper
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present a clustering approach in Ad-hoc On-demand Distance Vector (AODV) routing protocol for the
detection and prevention of black-hole attack in MANETs. In this approach every member of the cluster will
ping once to the cluster head, to detect the peculiar difference between the number of data packets received
and forwarded by the node. If anomalousness is perceived, all the nodes will obscure the malicious nodes
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Secure dynamic source routing protocol for defending black hole attacks in mo...nooriasukmaningtyas
Wireless Ad Hoc Network is a dynamically organized network on emergency
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hoc networks allows the hassle free set up of the network for
communications in different crisis such as battlefield and natural disaster
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International Journal of Engineering Research and DevelopmentIJERD Editor
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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These Grey Hole attacks poses a serious security threat to the routing services by attacking the reactive routing protocols resulting in drastic drop of data packets. AODV (Ad hoc on demand Distance Vector) routing being one of the many protocols often becomes an easy victim to such attacks. The survey also gives up-to-date information of all the works that have been done in this area. Besides the security issues they also described the layered architecture of MANET, their applications and a brief summary of the proposed works that have been done in this area to secure the network from Grey Hole attacks
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
The problems associated with selfish nodes in
MANET are addressed by a collaborative watchdog approach
which reduces the detection time for selfish nodes thereby
improves the performance and accuracy of watchdogs[1]. In
the related works they make use of credit based systems, reputation
based mechanisms, pathrater and watchdog mechanism
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of collaborative watchdog which reduces the detection
time for selfish nodes and also involves the removal of such
selfish nodes based on some progressively assessed thresholds.
The threshold gives the nodes a chance to stop misbehaving
before it is permanently deleted from the network.
The node passes through several isolation processes before it
is permanently removed. Another version of AODV protocol
is used here which allows the simulation of selfish nodes in
NS2 by adding or modifying log files in the protocol.
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A adaptive neighbor analysis approach to detect cooperative selfish node in manet
1. A Adaptive Neighbor Analysis Approach To Detect
Cooperative Selfish Node In MANET
2. Index
1. Introduction of MANET
2. History of MANET
3. Need of MANET
4. Challenges of MANET
5. Security solution to MANET
6. Attacks on MANET
7. Problem Definition
8. Detect the Selfish Node
9. Trust Table
10. Literature Review
11. Objectives
12. Proposed Work
13. Reference
3. MANET
MANET means mobile ad hoc network Ad Hoc means “for
the purpose”.
Mobile network is a set of wireless device called
wireless nodes(mobile, Laptop) which are dynamically
connect and transfer the information. In MANET nodes can
be source, destination and intermediate node of data
transmission.
I S=Source Node
S D I=Intermediate
Node
D=Destination
(Simple Transmission) Node
4. HISTORY OF MANET
Life cycle of mobile ad hoc network into first
second and third generation
First generation came into 1970’s
Second generation came into 1980’s
Third generation came into1990’s
Present ad hoc network comes
into third generation.
5. NEED OF MANET
Mobile are used for communication
We can use anywhere
Also used for email
6. CURRENT CHALLENGES
Network size
Limited range of wireless transmission
Packet losses due to error transmission
Some time route change
8. ATTACKS IN MANET
Due to dynamic nature, so no single security
solution is enough because there are different
types of attacks in MANET:
Main attacks are:
Active Attacks
Passive Attacks
Selfish node Attacks
9. PROBLEM DEFINITION
Selfish Node Attack:
Mobile network is widely, when we send data
packets from source node to destination node, the intermediate
node can be anyone because packets can use any route path.
S
D
When intermediate node does not transfer packets
to next node or change the data is called the selfish node attacks.
10. DETECT THE SELFISH NODE
Selfish node will be detect by using the neighbor
node. Neighbor node send the route request to
next node for checkout the selfish node. If that
node does not reply in the specified time
interval it means that node is the selfish node.
For ensure the status of the selfish node other
neighbors nodes also send route requests to
that node, if that node reply is less than the
route request it means that node is the selfish
node.
11. N N
SELFISH
S NODE N D
N
N N
(Detect Selfish Node By Using the Neighbor Node)
12. TRUST TABLE
The whole information will be maintained in the
trust table with three fields: source node ,
Destination node and the Reply status like
how many times route request is sended and
their reply. Status of the node will be shown
by using the bit like if the node is valid 1 will
be used and if the node is selfish 0 will be
used.
13. LITERATURE REVIEW
• Rajesh Yerneni [1] proposed a method is proposed called Secure-Ad hoc On demand
Distance Vector (SAODV) algorithm that mitigates black hole attack by analyzing
destination sequence number and validating the destination by random value. Simulation
results show that the proposed protocol provides better security by increasing the packet
delivery ratio when compared to AODV in presence of black hole attacks.
• Hesiri Weerasinghe [2] proposed a solution to identifying and preventing the
cooperative black hole attack. Presented solution discovers the secure route between
source and destination by identifying and isolating cooperative black hole nodes. In this
paper, via simulation, Author evaluate the proposed solution and compare it with other
existing solutions in terms of throughput, packet loss percentage, average end-toend
delay and route request overhead.
• Mehdi Medadian [3] an approach is proposed to combat the Cooperative/ Multiple
Blackhole attack by using negotiation with neighbors who claim to have a route to
destination. The Simulation’s results show that the proposed protocol provides better
security and also better performance in terms of packet delivery than the conventional
AODV in the presence of Black holes with minimal additional delay and Overhead.
14. • Sweta Jain [4] presents a review on a major category of coordinated attacks i.e. cooperative
blackhole / grayhole attack which are a serious threat to ad hoc network security. In
cooperative blackhole attack multiple nodes collude to hide the malicious activity of other
nodes; hence such attacks are more difficult to detect.
• Sanjay Ramaswamy [5] Author addresses the problem of coordinated attack by multiple black
holes acting in group. Author presents a technique to identify multiple black holes cooperating
with each other and a solution to discover a safe route avoiding cooperative black hole attack.
Varsha Patidar performed a work," Blackhole Attack and its Counter Measures in AODV
Routing Protocol".
• Mobile Ad-Hoc network is a collection of mobile node. In this network, a wireless node
usually moves randomly and dynamically forms a temporary network without a network
infrastructure. A malicious node send Route Response (RREP) incorrectly of having route to
destination with minimum hop count and when sender sends the data packet to this malicious
node, it drops all the packet in the network[6].
•
• Harsh Pratap[7] presents RBS (Reference Broadcast Synchronization) & Relative velocity
distance method for clock synchronization process in Mobile ad-hoc Network for removal of
cooperative black hole node. This paper evaluates the performance in NS2 network simulator
and Presented analysis indicates that this method is very suitable to remove black hole attack.
15. OBJECTIVES
This work will give an efficient and reliable transmission
over the network. The research objectives are:
The main objective of the work is identifying the selfish
node over the active path by performing a nearest neighbor
analysis. As the selfish node will be identified a status set
will be performed by using bit change.
The difference objective of the work is to define a eventual
process to identify all the passive selfish attack over the
network that are not the part of active communication path.
The analysis of the work will be performed under different
communication parameters such as network throughput,
error rate etc.
16. PURPOSED WORK
Purposed work is about to detect the selfish node from both active and
passive path in the chain.
N
P P
P P PP
S A P A P D
N
P P P P
P P
N
(Active and Passive Path)
The selfish node is detected by send route request to the neighbor node, if
the node does not reply, is selfish node. For ensure the status of node all
node all neighbor node of the selfish node send route request, if maximum
node not get the reply, the node is declared the selfish node. The step by
step work of the given research proposal is shown as:
17. Establish a mobile network with
n number of nodes
Define a source and destination
node and perform the
communication
Identify the next communicating
node over the path and send
route request to that node
If the reply is not in the specified
time interval is known as selfish
node
18. (Process of Research)
Define a source and destination
node and perform the
communication
Perform Nearest neighbor check
to ensure the safe node
A safe path is identified to
perform the secure transmission
Generate a separate process to
identify all cooperative Selfish
Node
19. RESEARCH METHODOLOGIES
The fundamental idea behind this research is to increase the Efficient
and reliable transmission over the network. The tools and
techniques used in the study will be:
• Study of Literature
• Analysis the selfish node by the neighbor node from the network
• On line Interpretation results
• Development of Inferential framework
• Change order upon interrupts in form of feedback and publications
• Overall outcome processing, development of related facts
21. [8] Poonam," Eliminating Misbehaving nodes by Opinion Based Trust Evaluation Model in MANETs",
ICCCS’11, February 12–14, 2011, Rourkela, Odisha, India. ACM 978-1-4503-0464-1/11/02
[9] Poonam Gera," Trust Based Multi-Path Routing for End to End Secure Data Delivery in MANETs",
SIN’10, Sept. 7–11, 2010, Taganrog, Rostov-on-Don, Russian Federation. ACM 978-1-4503-0234-
0/10/09
[10] M.Shobana," GEOGRAPHIC ROUTING USED IN MANET FOR BLACK HOLE DETECTION", CCSEIT-12,
October 26-28, 2012, Coimbatore [Tamil nadu, India]
ACM 978-1-4503-1310-0/12/10
[11] Poonam," Misbehaving nodes Detection through Opinion Based Trust Evaluation Model in
MANETs", International Conference and Workshop on Emerging Trends in Technology (ICWET 2011)
– TCET, Mumbai, India ICWET’11, February 25–26, 2011, Mumbai, Maharashtra, India. ACM 978-1-
4503-0449-8/11/02
[12] Kamaljit Kaur," Comparative Analysis of Black Hole Attack over Cloud Network using AODV and
DSDV", CCSEIT-12, October 26-28, 2012, Coimbatore [Tamil nadu, India] ACM 978-1-4503-1310-
0/12/10
[13] B.Revathi," A Survey of Cooperative Black and Gray hole Attack in MANET", International Journal of
Computer Science and Management Research Vol 1 Issue 2 September 2012 ISSN 2278-733X
[14] Vishnu K," Detection and Removal of Cooperative Black/Gray hole attack in Mobile ADHOC
Networks", 2010 International Journal of Computer Applications (0975 - 8887) Volume 1 – No. 22
[15] Moumita Deb," A Cooperative Blackhole Node Detection Mechanism for ADHOC Networks",
Proceedings of the World Congress on Engineering and Computer Science 2008 WCECS 2008,
October 22 - 24, 2008, San Francisco, USA ISBN: 978-988-98671-0-2