MANET is a dynamic network with large number of mobile nodes .As the traffic increases over the manet it will leads to number of problems i.e congestion and packet loss .This congestion and packet loss problems occurs due to the attack in manet .one of attack is black hole attack .As a result some packet loss over the network and slows the communication process.In this paper we are providing the solution against black hole attack which is based on fuzzy rule .fuzzy rule based solution identify the infected node as well as provide the solution to reduce data loss over network.
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.
A adaptive neighbor analysis approach to detect cooperative selfish node in m...Jyoti Parashar
A mobile network is a dynamic reconfigurable network with heavy traffic over the network. As the network is available widely, there are more chances of inclusion of external nodes that behave as the attack node. One of the problems in mobile network is the cooperative selfish node attack. In which more than one node cooperatively perform the attack. In such attack, the malicious nodes communicate effectively between them but as they get the packet from some other node, they do not forward the packets. The presented work is about the table driven cross check performed over each node to identify the trustfulness of a node.
Mobile Ad-Hoc Networks are most usefully in current environments. It’s required high performance, networks load and Throughput. In Mobile Ad-hoc Networks Routing is the hot topic for research. Basically two types routing protocols are work in the mobile Ad-hoc Networks: 1) Proactive and 2) Reactive. Researchers have projected different routing algorithm. Important work has been done on routing in ad hoc networks, some of the important works so far were the destination-sequence distance vector (DSDV) protocol, the temporally ordered routing protocol (TORA), dynamic source routing protocol (DSR) and ad hoc on demand routing protocol (AODV). These algorithms use Open Shortest Path First (OSPF) for find optimum route source to destination.ThesisScientist.com
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
Enhance the Throughput of Wireless Network Using Multicast RoutingIOSR Journals
Wireless Mesh Network is designed static or limited mobility environment .In multicast routing for
wireless mesh networks has focused on metrics that estimate link quality to maximize throughput
andtoprovide secure communication. Nodes must collaborate in order to compute the path metric and
forward data.Node identify the novel attacks against high- throughput multicast protocols in wireless
mesh network.. The attacks exploit the local estimation and global aggregation of the metric to allow
attackers to attract a large amount of traffic These attacks are very effective b a s e d on high
throughput metrics. The aggressive path selection is a double-edged sword: It is maximizes throughput,
it also increases attack effectiveness. so Rate guard mechanism will be used.Rate guard mechanism
means combines Measurement-based detection and accusation-based reaction techniques.The attacks
and the defense using ODMRP, a representative multicast protocol for wireless mesh networks, and
SPP, an adaptation of the well-known ETX unicast metric to the multicast setting
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.
A adaptive neighbor analysis approach to detect cooperative selfish node in m...Jyoti Parashar
A mobile network is a dynamic reconfigurable network with heavy traffic over the network. As the network is available widely, there are more chances of inclusion of external nodes that behave as the attack node. One of the problems in mobile network is the cooperative selfish node attack. In which more than one node cooperatively perform the attack. In such attack, the malicious nodes communicate effectively between them but as they get the packet from some other node, they do not forward the packets. The presented work is about the table driven cross check performed over each node to identify the trustfulness of a node.
Mobile Ad-Hoc Networks are most usefully in current environments. It’s required high performance, networks load and Throughput. In Mobile Ad-hoc Networks Routing is the hot topic for research. Basically two types routing protocols are work in the mobile Ad-hoc Networks: 1) Proactive and 2) Reactive. Researchers have projected different routing algorithm. Important work has been done on routing in ad hoc networks, some of the important works so far were the destination-sequence distance vector (DSDV) protocol, the temporally ordered routing protocol (TORA), dynamic source routing protocol (DSR) and ad hoc on demand routing protocol (AODV). These algorithms use Open Shortest Path First (OSPF) for find optimum route source to destination.ThesisScientist.com
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
Enhance the Throughput of Wireless Network Using Multicast RoutingIOSR Journals
Wireless Mesh Network is designed static or limited mobility environment .In multicast routing for
wireless mesh networks has focused on metrics that estimate link quality to maximize throughput
andtoprovide secure communication. Nodes must collaborate in order to compute the path metric and
forward data.Node identify the novel attacks against high- throughput multicast protocols in wireless
mesh network.. The attacks exploit the local estimation and global aggregation of the metric to allow
attackers to attract a large amount of traffic These attacks are very effective b a s e d on high
throughput metrics. The aggressive path selection is a double-edged sword: It is maximizes throughput,
it also increases attack effectiveness. so Rate guard mechanism will be used.Rate guard mechanism
means combines Measurement-based detection and accusation-based reaction techniques.The attacks
and the defense using ODMRP, a representative multicast protocol for wireless mesh networks, and
SPP, an adaptation of the well-known ETX unicast metric to the multicast setting
Survey on Efficient and Secure Anonymous Communication in ManetsEditor IJCATR
Mobile ad-hoc networks require anonymous communications in order to thwart new wireless passive attacks; and to protect new
assets of information such as nodes locations, motion patterns, network topology and traffic patterns in addition to conventional identity and
message privacy. The transmitted routing messages and cached active routing entries leave plenty of opportunities for eavesdroppers.
Anonymity and location privacy guarantees for the deployed ad hoc networks are critical in military and real time communication systems,
otherwise the entire mission may be compromised. This poses challenging constraints on MANET routing and data forwarding. To address
the new challenges, several anonymous routing schemes have been proposed recently.
Link Reliability based Detection and Predecessor base Route Establishment for...IJERA Editor
Mobile Ad hoc Network (MANET) is consists of mobile hosts or sensor nodes proficient of functioning in
absence of infrastructure. Such networks should be capable of self forming, self organizing, self managing, self
recovering, and able to operate under dynamic conditions. The multi-hop communication phenomenon is used
to sending information to receiver. To attain this, each mobile node depends on its neighbor or range node to
forward the data packet to the destination. In fact, most of previous studies on MANET have implicitly assumed
that nodes are cooperative such as node cooperation becomes a very important issue in MANET. The attacker in
dynamic network are easily affected the routing performance and data receiving ratio is affected as compared to
normal performance of network as well as dropping of data is enhanced. The packets percentage is degrades is
the confirmation of attacker misbehavior. The characteristics of wormhole attack is to making the tunnel and
reply the positive acknowledgement of destination at time of route request and drop all the data deliver through
tunnel. The attacker is identified by the past and current data receiving and forwarding in MANET. The
proposed IPS (Intrusion Detection and Prevention System) provides the security on the basis of link reliability.
In this work, we proposed new link reliability based security through Predecessor based Route Establishment of
detecting routing misbehavior of wormhole attack for prevention in MANET. The attacker is blocked through
the broadcasting scheme used by proposed prevention scheme from their actual identification to neighbors. The
security provider nodes are blocking the communication of attacker and provide the secure communication
among the mobile nodes. The performance of proposed scheme is evaluated through performance metrics like
PDR and throughput.
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 Combined Approach for Worm-Hole and Black-Hole Attack Detection in MANETIJERA Editor
Mobile ad hoc network is a kind of wireless network, in this network all nodes are connected through the wireless links and perform cooperative communication.Due to limited radio range of these devices any time can leave or join the network. Therefore the routing techniques are responsible for the network organization and communication flow. Due to this the performance of MANET is low as compared with the traditional wired communication networks. In addition of that network is suffers from the probability of attacks. Thus in this paper MANET routing strategy and their attacks are investigated and learned. In addition of that in order to secure the communication recent approaches of security in MANET also investigated. Finally a new algorithm for prevention of malicious attack in MANET is suggested. Additionally the based on the concluded facts, future extension of the proposed work is also suggested.
Performance Analysis of Routing Protocols (ADSDV, OLSR and TORA) in Wireless ...ijsrd.com
In routing process a node i.e. source transmit the data packets to another node i.e. destination. Routing in wireless networks have great challenges due to mobility, limited transmission range, There are several familiar routing protocols like DSDV, AODV, DSR, etc. which have been proposed for providing communication among all the nodes in the network. This paper presents a performance comparison of proactive and reactive protocols ADSDV, OLSR and TORA based on metrics such as throughput, packet delivery ratio and average end-to-end delay by using the NS-2 simulator.
Target Detection System (TDS) for Enhancing Security in Ad hoc Networkijdpsjournal
The idea of an ad hoc network is a new pattern that allows mobile hosts (nodes) to converse without relying
on a predefined communications to keep the network connected. Most nodes are implicit to be mobile and
communication is implicit to be wireless. Ad-hoc networks are collaborative in the sense that each node is
assumed to relay packets for other nodes that will in return relay their packets. Thus all nodes in an ad-hoc
network form part of the network’s routing infrastructure. The mobility of nodes in an ad-hoc network
denotes that both the public and the topology of the network are extremely active. It is very difficult to
design a once-for-all target detection system. Instead, an incremental enrichment strategy may be more
feasible. A safe and sound protocol should at least include mechanisms against known assault types. In
addition, it should provide a system to easily add new security features in the future. Due to the
significance of MANET routing protocols, we focus on the recognition of attacks targeted at MANET
routing protocols.
Intrusion detection techniques for cooperation of node in MANET have been chosen as the security
parameter. This includes Watchdog and Path rater approach. It also nearby Reputation Based Schemes in
which Reputation concerning every node is measured and will be move to every node in network.
Reputation is defined as Someone’s donation to network operation. CONFIDANT [23], CORE [25],
OCEAN [24] schemes are analyzed and will be here also compared based on various parameters.
NetSim Webinar on Network Attacks and DetectionDESHPANDE M
Webinar Contents:
Why use a Network Simulator
Introduction to NetSim
Introduction to Sinkhole Attack : Attack scenario in MANET using NetSim
Intrusion Detection System: Detection mechanism in MANET using NetSim
Analyzing Metrics
Areas of R & D in MANET
Q & A
A comparative study on different trust based routing schemes in manetijwmn
A mobile ad hoc network is a wireless network in which no infrastructure is available. MANET is a selfconfiguring
network. Due to dynamic nature of MANET it is very challenging work to employ a secure
route. The intermediate nodes cooperate with each other as there is no such base station or access point.
The routing protocols play important role in transferring data. Cryptographic mechanisms are used in
routing protocols to secure data packets while transmitted in the network. But cryptographic techniques
incur a high computational cost and can’t identify the nodes with malicious intention. So, employing
cryptographic techniques in MANET are quite impractical as MANETs have limited resource and
vulnerable to several security attacks. Trust mechanism is used as an alternative to cryptographic
technique. Trust mechanism secures data forwarding by isolating nodes with malicious intention using trust
value on the nodes. In this paper we survey different trust based protocols of MANET and compare their
performances.
1- Mobile ad hoc networks are formed dynamically by an
autonomous system of mobile nodes that are connected
via wireless links.
2- Multihop communication- node communicate with the
help of two or more node from source to destination.
3- No existing fixed infrastructure or centralized administration –No base station.
4- Mobile nodes are free to move randomly-Network topology changes frequently
5- May Operate as standalone fashion or also can be connected to the larger internet.
6- Each node work as router
Primary Goals of Security in MANET
To assure a reliable data transfer over the communication networks and to protect the system resources a number of security services are classified in five categories:-
1-Authentication:- The process of identifying an individual , usually based on a username and password.
2- Confidentially:- Confidentiality aims at protecting the data from disclosure to unauthorized person.
Network attacks against confidentiality
* Packet capturing
Password attack
Port scanning
Dumpster Diving
Wiretapping
Phishing and Pharming
2-Non repudiation:- Integrity guarantees that a message being transferred is never corrupted.
3- Integrity:- Integrity guarantees that a message being transferred is never corrupted.
network attack against integrity
Salami attack
trust relationship attacks
Man in the middle attack
Session hijacking attacks
4- Availability:- Its ensure that data ,network resources or network services are available to legitimate user when required.
network attack against availability
Denial of services attacks
Distributed denial of services attack
SYN flood attacks and ICMP flood attacks
Electrical power attacks
Server Room environment attacks
Key management
The security in networking is in many cases dependent on proper key management.
Key management consists of various services, of which each is vital for the security
of the networking systems
* Trust model:-Its must determine how much different element in the network can trust each other.
* Cryptosystem:- Public and symmetric key mechanism can be applied .
* Key creation:- It must determine which parties are allowed to generate key to themselves.
* Key storage :- In adhoc network any network element may have to store its own key and possibly key of other element as well.
* Key distribution:- The key management service must ensure that the generated keys are securely distributed to their owners.
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.
AN APPROACH TO PROVIDE SECURITY IN MOBILE AD-HOC NETWORKS USING COUNTER MODE ...IJNSA Journal
Security in any of the networks became an important issue in this paper we have implemented a security mechanism on Medium Access Control layer by Assured Neighbor based Security Protocol to provide authentication and confidentiality of packets along with High speed transmission for Ad hoc networks. Here we have divided the protocol into two different parts. The first part deals with Routing layer information; in this part we have tried to implement a possible strategy for detecting and isolating the malicious nodes. A trust counter for each node is determined which can be actively increased and decreased depending upon the trust value for the purpose of forwarding the packets from source node to destination node with the help of intermediate nodes. A threshold level is also predetermined to detect the malicious nodes. If the value of the node in trust counter is less than the threshold value then the node is denoted ‘malicious’. The second part of our protocol deals with the security in the link layer. For this security reason we have used CTR (Counter) approach for authentication and encryption. We have simulated all our strategies and schemes in NS-2, the result of which gives a conclusion that our proposed protocol i.e. Assured Neighbor based Security Protocol can perform high packet delivery against various intruders and also packet delivery ratio against mobility with low delays and low overheads.
Consensus Routing And Environmental Discrete Trust Based Secure AODV in MANETsIJCNCJournal
The Mobile Adhoc Network (MANET) is a wireless network model for infrastructure-less communication, and it provides numerous applications in different areas. The MANET is vulnerable to a Black-hole attack, and it affects routing functionality by dropping all the incoming packets purposefully. The Black-hole attackers pretend that it always has the best path to the destination node to mislead the source nodes. Trust is the critical factor for detecting and isolating the Black-hole attackers from the network. However, the harsh channel conditions make it difficult to differentiate the Black-hole routing activities and accurate trust measurement. Hence, incorporating the consensus-based trust evidence collection from the neighbouring nodes improves the accuracy of trust. For improving the accuracy of trust, this work suggests Consensus Routing and Environmental DIscrete Trust (CREDIT) Based Secure AODV. The CREDIT incorporates Discrete and Consensus trust information. The Discrete parameters represent the specific characteristics of the Black-hole attacks, such as routing behaviour, hop count deviation, and sequence number deviation. The direct trust accurately differentiates the Black-hole attackers using Discrete parameters, only when the nodes perform sufficient communication between the nodes. To solve such issues, the CREDIT includes the Consensus-based trust information. However, secure routing against the Black-hole attack is challenging due to incomplete preferences. The in-degree centrality and Importance degree measurement on the collected consensus-based trust from decisionmakers solve the incomplete preference issue as well as improves the accuracy of trust. The performance of the proposed scheme is evaluated using Network Simulator-2 (NS2). From the simulation results, it is proved that the detection accuracy and throughput of the proposed CREDIT are substantially high and the proposed CREDIT scheme outperforms the existing work.
New Fuzzy Logic Based Intrusion Detection Systemijsrd.com
In this paper, we present an efficient intrusion detection technique. The intrusion detection plays an important role in network security. However, many current intrusion detection systems (IDSs) are signature based systems. The signature based IDS also known as misuse detection looks for a specific signature to match, signaling an intrusion. Provided with the signatures or patterns, they can detect many or all known attack patterns, but they are of little use for as yet unknown attacks. The rate of false positives is close to nil but these types of systems are poor at detecting new attacks, variation of known attacks or attacks that can be masked as normal behavior. Our proposed solution, overcomes most of the limitations of the existing methods. The field of intrusion detection has received increasing attention in recent years. One reason is the explosive growth of the internet and the large number of networked systems that exist in all types of organizations. Intrusion detection techniques using data mining have attracted more and more interests in recent years. As an important application area of data mining, they aim to meliorate the great burden of analyzing huge volumes of audit data and realizing performance optimization of detection rules. The objective of this dissertation is to try out the intrusion detection on large dataset by classification algorithms binary class support vector machine and improved its learning time and detection rate in the field of Network based IDS.
This presentation is about the intrusion detection techniques in a mobile ad hoc network. A MANET is an infrastructure-less network and has no central authority to govern the security check if the new node added to the network is trust worthy or not. There are number of security attacks in a MANET and there are number of advantages of a MANET. Most of its applications prove to be a boon when there is a need of a network for communication in a hostile environment and in remote areas. So it must be made secure. Work is still in progress regarding the security of MANET. 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 inMANETmade 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.By definition, Mobile Ad hoc NETwork (MANET) is a
collection of mobile nodes equipped with both a wireless
transmitter and a receiver that communicate with each other
via bidirectional wireless links either directly or indirectly.
Industrial remote access and control via wireless networks are
becoming more and more popular these days. One of the
major advantages of wireless networks is its ability to allow
data communication between different parties and still maintain
their mobility. However, this communication is limited to
the range of transmitters. This means that two nodes cannot
communicate with each other when the distance between the
two nodes is beyond the communication range of their own.
MANET solves this problem by allowing intermediate parties
to relay data transmissions. T
Survey on Efficient and Secure Anonymous Communication in ManetsEditor IJCATR
Mobile ad-hoc networks require anonymous communications in order to thwart new wireless passive attacks; and to protect new
assets of information such as nodes locations, motion patterns, network topology and traffic patterns in addition to conventional identity and
message privacy. The transmitted routing messages and cached active routing entries leave plenty of opportunities for eavesdroppers.
Anonymity and location privacy guarantees for the deployed ad hoc networks are critical in military and real time communication systems,
otherwise the entire mission may be compromised. This poses challenging constraints on MANET routing and data forwarding. To address
the new challenges, several anonymous routing schemes have been proposed recently.
Link Reliability based Detection and Predecessor base Route Establishment for...IJERA Editor
Mobile Ad hoc Network (MANET) is consists of mobile hosts or sensor nodes proficient of functioning in
absence of infrastructure. Such networks should be capable of self forming, self organizing, self managing, self
recovering, and able to operate under dynamic conditions. The multi-hop communication phenomenon is used
to sending information to receiver. To attain this, each mobile node depends on its neighbor or range node to
forward the data packet to the destination. In fact, most of previous studies on MANET have implicitly assumed
that nodes are cooperative such as node cooperation becomes a very important issue in MANET. The attacker in
dynamic network are easily affected the routing performance and data receiving ratio is affected as compared to
normal performance of network as well as dropping of data is enhanced. The packets percentage is degrades is
the confirmation of attacker misbehavior. The characteristics of wormhole attack is to making the tunnel and
reply the positive acknowledgement of destination at time of route request and drop all the data deliver through
tunnel. The attacker is identified by the past and current data receiving and forwarding in MANET. The
proposed IPS (Intrusion Detection and Prevention System) provides the security on the basis of link reliability.
In this work, we proposed new link reliability based security through Predecessor based Route Establishment of
detecting routing misbehavior of wormhole attack for prevention in MANET. The attacker is blocked through
the broadcasting scheme used by proposed prevention scheme from their actual identification to neighbors. The
security provider nodes are blocking the communication of attacker and provide the secure communication
among the mobile nodes. The performance of proposed scheme is evaluated through performance metrics like
PDR and throughput.
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 Combined Approach for Worm-Hole and Black-Hole Attack Detection in MANETIJERA Editor
Mobile ad hoc network is a kind of wireless network, in this network all nodes are connected through the wireless links and perform cooperative communication.Due to limited radio range of these devices any time can leave or join the network. Therefore the routing techniques are responsible for the network organization and communication flow. Due to this the performance of MANET is low as compared with the traditional wired communication networks. In addition of that network is suffers from the probability of attacks. Thus in this paper MANET routing strategy and their attacks are investigated and learned. In addition of that in order to secure the communication recent approaches of security in MANET also investigated. Finally a new algorithm for prevention of malicious attack in MANET is suggested. Additionally the based on the concluded facts, future extension of the proposed work is also suggested.
Performance Analysis of Routing Protocols (ADSDV, OLSR and TORA) in Wireless ...ijsrd.com
In routing process a node i.e. source transmit the data packets to another node i.e. destination. Routing in wireless networks have great challenges due to mobility, limited transmission range, There are several familiar routing protocols like DSDV, AODV, DSR, etc. which have been proposed for providing communication among all the nodes in the network. This paper presents a performance comparison of proactive and reactive protocols ADSDV, OLSR and TORA based on metrics such as throughput, packet delivery ratio and average end-to-end delay by using the NS-2 simulator.
Target Detection System (TDS) for Enhancing Security in Ad hoc Networkijdpsjournal
The idea of an ad hoc network is a new pattern that allows mobile hosts (nodes) to converse without relying
on a predefined communications to keep the network connected. Most nodes are implicit to be mobile and
communication is implicit to be wireless. Ad-hoc networks are collaborative in the sense that each node is
assumed to relay packets for other nodes that will in return relay their packets. Thus all nodes in an ad-hoc
network form part of the network’s routing infrastructure. The mobility of nodes in an ad-hoc network
denotes that both the public and the topology of the network are extremely active. It is very difficult to
design a once-for-all target detection system. Instead, an incremental enrichment strategy may be more
feasible. A safe and sound protocol should at least include mechanisms against known assault types. In
addition, it should provide a system to easily add new security features in the future. Due to the
significance of MANET routing protocols, we focus on the recognition of attacks targeted at MANET
routing protocols.
Intrusion detection techniques for cooperation of node in MANET have been chosen as the security
parameter. This includes Watchdog and Path rater approach. It also nearby Reputation Based Schemes in
which Reputation concerning every node is measured and will be move to every node in network.
Reputation is defined as Someone’s donation to network operation. CONFIDANT [23], CORE [25],
OCEAN [24] schemes are analyzed and will be here also compared based on various parameters.
NetSim Webinar on Network Attacks and DetectionDESHPANDE M
Webinar Contents:
Why use a Network Simulator
Introduction to NetSim
Introduction to Sinkhole Attack : Attack scenario in MANET using NetSim
Intrusion Detection System: Detection mechanism in MANET using NetSim
Analyzing Metrics
Areas of R & D in MANET
Q & A
A comparative study on different trust based routing schemes in manetijwmn
A mobile ad hoc network is a wireless network in which no infrastructure is available. MANET is a selfconfiguring
network. Due to dynamic nature of MANET it is very challenging work to employ a secure
route. The intermediate nodes cooperate with each other as there is no such base station or access point.
The routing protocols play important role in transferring data. Cryptographic mechanisms are used in
routing protocols to secure data packets while transmitted in the network. But cryptographic techniques
incur a high computational cost and can’t identify the nodes with malicious intention. So, employing
cryptographic techniques in MANET are quite impractical as MANETs have limited resource and
vulnerable to several security attacks. Trust mechanism is used as an alternative to cryptographic
technique. Trust mechanism secures data forwarding by isolating nodes with malicious intention using trust
value on the nodes. In this paper we survey different trust based protocols of MANET and compare their
performances.
1- Mobile ad hoc networks are formed dynamically by an
autonomous system of mobile nodes that are connected
via wireless links.
2- Multihop communication- node communicate with the
help of two or more node from source to destination.
3- No existing fixed infrastructure or centralized administration –No base station.
4- Mobile nodes are free to move randomly-Network topology changes frequently
5- May Operate as standalone fashion or also can be connected to the larger internet.
6- Each node work as router
Primary Goals of Security in MANET
To assure a reliable data transfer over the communication networks and to protect the system resources a number of security services are classified in five categories:-
1-Authentication:- The process of identifying an individual , usually based on a username and password.
2- Confidentially:- Confidentiality aims at protecting the data from disclosure to unauthorized person.
Network attacks against confidentiality
* Packet capturing
Password attack
Port scanning
Dumpster Diving
Wiretapping
Phishing and Pharming
2-Non repudiation:- Integrity guarantees that a message being transferred is never corrupted.
3- Integrity:- Integrity guarantees that a message being transferred is never corrupted.
network attack against integrity
Salami attack
trust relationship attacks
Man in the middle attack
Session hijacking attacks
4- Availability:- Its ensure that data ,network resources or network services are available to legitimate user when required.
network attack against availability
Denial of services attacks
Distributed denial of services attack
SYN flood attacks and ICMP flood attacks
Electrical power attacks
Server Room environment attacks
Key management
The security in networking is in many cases dependent on proper key management.
Key management consists of various services, of which each is vital for the security
of the networking systems
* Trust model:-Its must determine how much different element in the network can trust each other.
* Cryptosystem:- Public and symmetric key mechanism can be applied .
* Key creation:- It must determine which parties are allowed to generate key to themselves.
* Key storage :- In adhoc network any network element may have to store its own key and possibly key of other element as well.
* Key distribution:- The key management service must ensure that the generated keys are securely distributed to their owners.
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.
AN APPROACH TO PROVIDE SECURITY IN MOBILE AD-HOC NETWORKS USING COUNTER MODE ...IJNSA Journal
Security in any of the networks became an important issue in this paper we have implemented a security mechanism on Medium Access Control layer by Assured Neighbor based Security Protocol to provide authentication and confidentiality of packets along with High speed transmission for Ad hoc networks. Here we have divided the protocol into two different parts. The first part deals with Routing layer information; in this part we have tried to implement a possible strategy for detecting and isolating the malicious nodes. A trust counter for each node is determined which can be actively increased and decreased depending upon the trust value for the purpose of forwarding the packets from source node to destination node with the help of intermediate nodes. A threshold level is also predetermined to detect the malicious nodes. If the value of the node in trust counter is less than the threshold value then the node is denoted ‘malicious’. The second part of our protocol deals with the security in the link layer. For this security reason we have used CTR (Counter) approach for authentication and encryption. We have simulated all our strategies and schemes in NS-2, the result of which gives a conclusion that our proposed protocol i.e. Assured Neighbor based Security Protocol can perform high packet delivery against various intruders and also packet delivery ratio against mobility with low delays and low overheads.
Consensus Routing And Environmental Discrete Trust Based Secure AODV in MANETsIJCNCJournal
The Mobile Adhoc Network (MANET) is a wireless network model for infrastructure-less communication, and it provides numerous applications in different areas. The MANET is vulnerable to a Black-hole attack, and it affects routing functionality by dropping all the incoming packets purposefully. The Black-hole attackers pretend that it always has the best path to the destination node to mislead the source nodes. Trust is the critical factor for detecting and isolating the Black-hole attackers from the network. However, the harsh channel conditions make it difficult to differentiate the Black-hole routing activities and accurate trust measurement. Hence, incorporating the consensus-based trust evidence collection from the neighbouring nodes improves the accuracy of trust. For improving the accuracy of trust, this work suggests Consensus Routing and Environmental DIscrete Trust (CREDIT) Based Secure AODV. The CREDIT incorporates Discrete and Consensus trust information. The Discrete parameters represent the specific characteristics of the Black-hole attacks, such as routing behaviour, hop count deviation, and sequence number deviation. The direct trust accurately differentiates the Black-hole attackers using Discrete parameters, only when the nodes perform sufficient communication between the nodes. To solve such issues, the CREDIT includes the Consensus-based trust information. However, secure routing against the Black-hole attack is challenging due to incomplete preferences. The in-degree centrality and Importance degree measurement on the collected consensus-based trust from decisionmakers solve the incomplete preference issue as well as improves the accuracy of trust. The performance of the proposed scheme is evaluated using Network Simulator-2 (NS2). From the simulation results, it is proved that the detection accuracy and throughput of the proposed CREDIT are substantially high and the proposed CREDIT scheme outperforms the existing work.
New Fuzzy Logic Based Intrusion Detection Systemijsrd.com
In this paper, we present an efficient intrusion detection technique. The intrusion detection plays an important role in network security. However, many current intrusion detection systems (IDSs) are signature based systems. The signature based IDS also known as misuse detection looks for a specific signature to match, signaling an intrusion. Provided with the signatures or patterns, they can detect many or all known attack patterns, but they are of little use for as yet unknown attacks. The rate of false positives is close to nil but these types of systems are poor at detecting new attacks, variation of known attacks or attacks that can be masked as normal behavior. Our proposed solution, overcomes most of the limitations of the existing methods. The field of intrusion detection has received increasing attention in recent years. One reason is the explosive growth of the internet and the large number of networked systems that exist in all types of organizations. Intrusion detection techniques using data mining have attracted more and more interests in recent years. As an important application area of data mining, they aim to meliorate the great burden of analyzing huge volumes of audit data and realizing performance optimization of detection rules. The objective of this dissertation is to try out the intrusion detection on large dataset by classification algorithms binary class support vector machine and improved its learning time and detection rate in the field of Network based IDS.
This presentation is about the intrusion detection techniques in a mobile ad hoc network. A MANET is an infrastructure-less network and has no central authority to govern the security check if the new node added to the network is trust worthy or not. There are number of security attacks in a MANET and there are number of advantages of a MANET. Most of its applications prove to be a boon when there is a need of a network for communication in a hostile environment and in remote areas. So it must be made secure. Work is still in progress regarding the security of MANET. 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 inMANETmade 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.By definition, Mobile Ad hoc NETwork (MANET) is a
collection of mobile nodes equipped with both a wireless
transmitter and a receiver that communicate with each other
via bidirectional wireless links either directly or indirectly.
Industrial remote access and control via wireless networks are
becoming more and more popular these days. One of the
major advantages of wireless networks is its ability to allow
data communication between different parties and still maintain
their mobility. However, this communication is limited to
the range of transmitters. This means that two nodes cannot
communicate with each other when the distance between the
two nodes is beyond the communication range of their own.
MANET solves this problem by allowing intermediate parties
to relay data transmissions. T
An Enhanced Approach to Avoid Black hole Attack in Mobile Ad hoc Networks usi...ijsrd.com
A mobile ad-hoc network (MANET) is very receptive to security attacks due to its open medium, dynamically changing network topology, lack of centralized monitoring. These vulnerabilities are nature of MANET structure that cannot be removed. As a consequence, attacks with malicious intent have been and will be devised to exploit these vulnerabilities and to cripple MANET operations. One of the well known attack on the MANET is the Black Hole attack which is most common in the ondemand routing protocols such as AODV. A black hole attack refers to an attack by a malicious node, which forcibly gains the route from a source to a destination by the falsification of sequence number and hop count of the routing message. This paper represents an enhanced AOMDV routing protocol for avoiding black hole attack in MANET. This routing protocol uses Ad hoc On-demand Multipath Distance Vector (AOMDV) to form link disjoint multi-path during path discovery to provide better path selection in order to avoid malicious nodes in the path using legitimacy table maintained by each node in the network. Nonmalicious nodes steadily isolate the black hole nodes based on the values collected in their legitimacy table and avoid them while making path between source and destination. The effectiveness of our approach is illustrated by simulations conducted using network simulator ns-2.34.
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.
IMPACT ANALYSIS OF BLACK HOLE ATTACKS ON MOBILE AD HOC NETWORKS PERFORMANCEijgca
A Mobile Ad hoc Network (MANET) is a collection of mobile stations with wireless interfaces which form a temporary network without using any central administration. MANETs are more vulnerable to attacks because
they have some specific characteristics as complexity of wireless communication and lack of infrastructure. Hence security is an important requirement in mobile ad hoc networks. One of the attacks against network integrity
in MANETs is the Black Hole Attack. In this type of attack all data packets are absorbed by malicious node, hence data loss occurs. In this paper we investigated the impacts of Black Hole attacks on the network
performance. We have simulated black hole attacks using Network Simulator 2 (NS-2) and have measured the packet loss in the network without and with a black hole attacks. Also, we measured the packet loss when the
number of black hole attacks increases.
IMPACT ANALYSIS OF BLACK HOLE ATTACKS ON MOBILE AD HOC NETWORKS PERFORMANCEijgca
A Mobile Ad hoc Network (MANET) is a collection of mobile stations with wireless interfaces which form a temporary network without using any central administration. MANETs are more vulnerable to attacks because they have some specific characteristics as complexity of wireless communication and lack of infrastructure. Hence security is an important requirement in mobile ad hoc networks. One of the attacks against network integrity in MANETs is the Black Hole Attack. In this type of attack all data packets are absorbed by malicious node, hence data loss occurs. In this paper we investigated the impacts of Black Hole attacks on the network performance. We have simulated black hole attacks using Network Simulator 2 (NS-2) and have measured the packet loss in the network without and with a black hole attacks. Also, we measured the packet loss when the number of black hole attacks increases.
Secure dynamic source routing protocol for defending black hole attacks in mo...nooriasukmaningtyas
Wireless Ad Hoc Network is a dynamically organized network on emergency
situations, in which a group of wireless devices send data among themselves
without requiring any base stations for forwarding data. Here the nodes itself
perform the functions of routing. This important characteristic of mobile ad
hoc networks allows the hassle free set up of the network for
communications in different crisis such as battlefield and natural disaster
zones. Multi hop communication in MANET is achieved by the cooperation
of nodes in forwarding data packets. This feature of MANET is largely
exploited to launch a security attack called black hole attack. A light weight
solution called SEC-DSR is proposed to defend the network from black hole
attack and enables communication among nodes even in the presence of
attackers. In this scheme, by analyzing only the control packets used for
routing in the network, the compromised nodes launching the attack are
identified. From the collective judgment by the participating nodes in the
routing path, a secure route free of black hole nodes is selected for
communication by the host. Simulation results validate and ensure the
effectiveness of the proposed solution tested on an ad hoc network with
compromised black hole nodes.
A Survey on Securing TORA for Detecting and Protecting Against Sybil Attack i...IJERD Editor
Mobile Ad-hoc Network (MANET) is a quite challenging to ensures security because if it’s open
nature, lack of infrastructure, and high mobility of nodes. MANETs is a fast changing network in a form of
decentralized wireless system. It requires a unique, distinct and persistent identity per node in order to provide
their security and also has become an indivisible part for communication for mobile device. In this phase of
dissertation, we have focused giving security to Temporally Ordered Routing Protocol Algorithm (TORA) from
Sybil attack. TORA is based on a family of link reversal algorithm. It is highly adaptive distributing routing
algorithm used in MANET that is able to provide multiple loop-free routes to any destination using the Route
Creation, Route Maintenance and Route Erasure functions. Sybil attack is a serious threat for wireless networks.
This type of attacker comes in the network and they start creating multiple identities. From that multiple
identities they are disrupting the network by participating in communication with line breaking nodes. This
cause’s huge loss in network resources. These networks can be protected using network failure and firewall
detection schemes for detecting the attack and minimizing their effects. Proposed approach is expected to secure
TORA through the implementation. Performance factor of network would be taken into consideration in order
to verify the efficiency of modified TORA in MANET environment.
An Ad hoc network in a wireless system consist of an autonomous system, without centralization which results forming of mobile nodes. In MANET, each node works in a dual form that consists of a router as well as hosts. These nodes configure dynamically and communicate using hop to hop. Due to its simplicity it is used in mobile conferencing, military communication. In MANET nodes can join and leave the network so MANET becomes vulnerable. Certain factors like dynamic network configures, distribution cooperation, open medium terrorized in routing which give rise to security issues. Once such protocol AODV has been a victim of security. In existing, MANET faces a severe problem known as the Black Hole problem. This Black hole problem is mostly found in reactive routing protocol called AODV.The black hole conducts its malicious node during route discovery process. Black hole node is a severe threat in AODV protocol that easily employed and becomes vulnerable in MANET. In this paper various techniques are discussed to overcome the Black hole attack.
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Black hole and Grey hole attack is most happening attacks in Mesh networks. Mesh networks means nonstatic
networks with making loops of networks with the help of active hotspots. In Wireless networks all the
communication between the nodes is happening wirelessly and the nodes are so much resource constraint
that it is difficult to employ any security solutions of other ad hoc networks. So they are attacked by
malicious nodes. In black hole attack the attacker windup all the information and dropped it.
In black hole attack, the series of RREQ (route request) and RREP (route reply) follows the smallest way of
networking communication. The fault node always transmit RREP message as it receives RREQ, while
managing the receivers sequence number. By the help of fault node packets are dropped. Sometimes fault
node is authorised and otherwise it is unauthorised. Black hole attack is type of routing attack and can
bring harm to whole network. Grey hole attack is the kind of denial of service attack. In this attack, the
router which is mesh behave just not well and a subset of packets are forward and handle by receiver but
leave by others. The presences of these attackers are hard to detect in wireless networks because over the
wireless link the packets are lost due to bad channel quality. This paper deals with the study of analysis of
delay occurs by these attack in Wireless Mesh networks and its types and also discuss about previous
study by which we get idea about attack occurs in networks and also study various techniques to detect and
prevent network from black hole and grey hole attack. Then we discuss about their result by using
simulator OPNET.
A black-hole attack in the Mobile Ad-hoc NETwork (MANET) is an attack occurs due to malicious nodes,
which attracts the data packets by falsely advertising a fresh route to the destination. In this paper, we
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
from the network.
"Heart failure is a typical clinical accompanied by symptoms syndrome (e.g. shortness of breath, ankle swelling and fatigue) that lead to structural or functional abnormalities of the heart (e.g. high venous pressure, pulmonary edema and peripheral edema).
In recent years, the significant role of B-type natriuretic peptide has been revealed in the pathogenesis of heart disease and the use of the drug sacubitril/valsartan has started. It has a positive effect on the regulation of the level of B-type natriuretic peptide in the body. It is obviously seen from the the world literature that natriuretic peptides play an important role in the pathophysiology of heart failure. For this reason, many studies suggest that the importance of natriuretic peptides in the diagnosis and treatment of heart failure is recommended.
Due to this, we tried to investigate the effects of a comprehensive medication therapy with a combination of sacubitril/valsartan in the patients with chronic heart failure."
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
1. International Journal of Science and Research (IJSR), India Online ISSN: 2319-7064
Volume 2 Issue 8, August 2013
www.ijsr.net
Black Hole Attack Detection using Fuzzy Logic
Sonal1
, Kiran Narang2
1, 2
Hindu College of Engineering, Sonepat, Haryana, India
Abstract: MANET is a dynamic network with large number of mobile nodes .As the traffic increases over the manet it will leads to
number of problems i.e congestion and packet loss .This congestion and packet loss problems occurs due to the attack in manet .one of
attack is black hole attack .As a result some packet loss over the network and slows the communication process.In this paper we are
providing the solution against black hole attack which is based on fuzzy rule .fuzzy rule based solution identify the infected node as well
as provide the solution to reduce data loss over network.
Keywords: MANET, Fuzzy logic, Black hole attack , Packet loss, Data rate.
1. Introduction
Mobile Ad hoc NETworks (MANET) are the wireless
networks of mobile computing devices without any support
of a fixed infrastructure. The mobile nodes in a MANET self
organize together in some arbitrary fashion. A MANET is an
autonomous collection of mobile users that communicate
over relatively bandwidth constrained wireless links. Since
the nodes are mobile, the network topology may change
rapidly and unpredictably over time. These networks can be
applied between persons or between vehicles in areas which
are depleted of fixed infrastructure. Two nodes can directly
communicate with each other if they are within the radio
range. If the nodes are not within the radio range they can
communicate with each other using multi hop routing. The
wireless link between the nodes in mobile networks is highly
vulnerable. This is because nodes can continuously move
causing the frequent breakage of the link. The power
available for transmission is also strictly limited. The
topology of the network is highly dynamic due to the
continuous breakage and establishment of wireless link
Nodes continuously move into and out of the radio range.
This gives rise to the change in routing information. The
network is decentralized; where all network activity
including discovering the topology and delivering messages
must be executed by the nodes themselves i.e. routing
functionality will be incorporated into mobile nodes.
MANET is more vulnerable than wired network due to
mobile nodes, threats from malicious nodes inside the
network. Because of vulnerabilities, MANET is more prone
to malicious attacks. MANET has following vulnerabilities.
Lack of centralized node: MANET doesn’t have a
centralized node. The lack of centralized makes the
detection of attacks difficult because it is not east to
monitor the traffic in a highly dynamic and large scale ad-
hoc network.
Resource availability: Resource availability is a major
issue in MANET. Providing secure communication in
such changing environment as well as protection against
specific threats and attacks, leads to development of
various security schemes and architectures. Collaborative
ad-hoc environments also allow implementation of self-
organized security mechanism.
Scalability: Due to mobility of nodes, scale of ad-hoc
network changing all the time. So scalability is a major
issue concerning security. Security mechanism should be
capable of handling a large network as well as small ones.
Dynamic topology: Dynamic topology and changeable
nodes membership may disturb the trust relationship
among nodes. The trust may also be disturbed if some
nodes are detected as compromised. This dynamic
behavior could be better protected with distributed and
adaptive security mechanisms.
Limited power supply: The nodes in mobile ad-hoc
network need to consider restricted power supply, which
will cause several problems. A node in mobile ad-hoc
network may behave in a selfish manner when it is finding
that there is only limited power supply.
Bandwidth constraint: Variable low capacity links exists
as compared to wireless network which are more
susceptible to external noise, interference and signal
attenuation effects.
Adversary inside the Network: The mobile nodes within
the MANET can freely join and leave the network. The
nodes within network may also behave maliciously. This
is hard to detect that the behavior of the node is malicious.
Thus this attack is more dangerous than the external
attack. These nodes are called compromised nodes.
No predefined Boundary: In mobile ad- hoc networks we
cannot precisely define a physical boundary of the
network. The nodes work in a nomadic environment
where they are allowed to join and leave the wireless
network. As soon as an adversary comes in the radio range
of a node it will be able to communicate with that node.
2. Black hole attack in MANET
Attacks on MANETs can be divided into two categories,
passive and active attacks. An active attack alters the
operation of networks by modifying and interrupting data. A
passive attack does not disturb the operation of networks.
In black hole attack, black hole node acts like black hole in
the universe. In this attack black hole node absorbs all the
Here we assume that if nodes are in their vicinity, they can
traffic towards itself and doesn't forward to other nodes.
Whenever, source node wants to send packet to the
destination important issue. To attract all the packet towards
it, this malicious node advertise that it has shortest path
through it to the destination node. Two types of black hole
attack can be described in order to distinguish the kind of
black hole Attack
222
2. International Journal of Science and Research (IJSR), India Online ISSN: 2319-7064
Volume 2 Issue 8, August 2013
www.ijsr.net
2.1 Internal Black hole attack
This type of black hole attack has an internal malicious node
which fits in between the routes of given source and
destination. As soon as it gets the chance this malicious node
make itself an active data route element. At this stage it is
now capable of conducting attack with the start of data
transmission. This is an internal attack because node itself
belongs to the data route. Internal attack is more vulnerable
to defend against because of difficulty in detecting the
internal misbehaving node.
2.2 External Black hole attack
External attacks physically stay outside of the network and
deny access to network traffic or creating congestion in
network or by disrupting the entire network. External attack
can become a kind of internal attack when it take control of
internal malicious node and control it to attack other nodes
in MANET.
External black hole attack can be summarized in following
points
1.Malicious node detects the active route and notes the
destination address.
2.Malicious node sends a route reply packet (RREP)
including the destination address field spoofed to an
unknown destination address. Hop count value is set to
lowest values and the sequence number is set to the
highest value.
3.Malicious node send RREP to the nearest available node
which belongs to the active route. This can also be send
directly to the data source node if route is available.
4.The RREP received by the nearest available node to the
malicious node will relayed via the established inverse
route to the data of source node.
5.The new information received in the route reply will allow
the source node to update its routing table.
6.New route selected by source node for selecting data.
7.The malicious node will drop now all the data to which it
belong in the route
3. Routing in MANETS with and without
Black hole Node
Generally routing in MANET is done either by table driven
routing protocol or ad hoc on demand distance vector
routing protocol. In case of table driven process, each and
every node in MANETs maintains some up-to-date
information about the network. Every node has the
information about latest network topology, any changes
happened to the network is generally propagated to the
network, accordingly node updates their routing table .But
this kind of protocol creates several problems to the network
in terms of bandwidth overhead, wastage of battery power of
the nodes, entry of unnecessary redundant route etc. Due to
these difficulties, ad hoc on demand distance vector (AODV)
routing protocol is preferred. In this protocol, routing tables
are dynamically created when needed. So, whenever source
node wants to send data to destination, it tries to establish the
path through several ways by sending some RREQ packets.
When destination sends a RREP packet to source through
shortest path, the source sends data through this path.
Though it looks very simple, but this kind of protocol suffers
from several vulnerabilities of attack. If the path cannot be
established then RERR messages is generated. AODV
protocol is very much acquainted with dynamic network
condition, low processing and memory overleaf, less
bandwidth wastage with small control messages. Due to
these kinds of reasons AODV becomes one of the most
popular protocols in MANETs. Whenever a RREQ packet is
generated by the source, every node that receives the RREQ
packet will check whether this packet is meant for them or
not. If so, immediately they will generate RREP message,
otherwise every node tries to forward the packet to their
neighbor to reach destination, if their routing table doesn’t
contain valid entry to destination. If the routing table
contains valid entry to destination then next step is to check
the destination sequence number. Usually destination
sequence number is maintained by every node. Its value
depends on network traffic and participation of node in
packet forwarding. If the destination sequence number is
same for more than one RREP then it goes for the specific
path where number of hops to reach destination is lesser.
Thus higher the sequence number implies the fresh route to
destination. In case if the source receives multiple RREP
then it decides the path where sequence number is higher
4. Literature Survey
Monita Wahengbam, Ningrinla Marchang [1] performed a
work on “Intrusion Detection in MANET using the Fuzzy
Logic”.Fuzzy rule is implemenating during the analysis
phase to detect the misbehavior over the network. The work
will analyze the traffic over a node and take a fuzzy decision
regarding the node reliability. The parameters in paper are
number of successful data transmitted over the node, number
of packets lost. Elmar Gerhards-Padilla, Marko Jahnke
et.al[2]performed a work,” Detecting Black Hole Attacks in
Tactical MANETs using Topology Graphs”. In this work
Author present TOGBAD a new centralised approach, using
topology graphs to identify nodes attempting to create a
black hole. Author use well-established techniques to gain
knowledge about the network topology and use this
knowledge to perform plausibility checks of the routing
information propagated by the nodes in the network.
Latha Tamilselvan, Dr. V Sankaranarayanan et.al [4]
“Prevention of Co-operative Black Hole Attack in MANET”
gave an approach to combat the Black hole attack. In
MANET, the absence of a fixed infrastructure, thus nodes
have to cooperate in order to provide the necessary network
functionality. One of the principal routing protocols used in
Ad hoc networks is AODV (Ad hoc on demand Distance
Vector) protocol. The security of the AODV protocol is
compromised by a particular type of attack called ‘Black
Hole’ attack .In this attack a malicious node advertises itself
as having the shortest path to the node whose packets it
wants to intercept. To reduce the probability it is proposed to
wait and check the replies from all the neighboring nodes to
find a safe route. Their approach to combat the Black hole
attack is to make use of a ‘Fidelity Table’ wherein every
participating node will be assigned a fidelity level that acts
as a measure of reliability of that node. In case the level of
any node drops to 0, it is considered to be a malicious node,
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3. International Journal of Science and Research (IJSR), India Online ISSN: 2319-7064
Volume 2 Issue 8, August 2013
www.ijsr.net
termed as a ‘Black hole’ and is eliminated. The percentage
of packets received through our system is better than that in
AODV in presence of cooperative black hole attack. The
solution is simulated using the Global Sensor Simulator and
is found to achieve the required security with minimal delay
& overhead.
Rajib Das, Dr. Bipul Syam Purkayastha et.al [6] performed a
work,” Security Measures for Black Hole Attack in
MANET: An Approach”. In this paper, Author give an
algorithmic approach to focus on analyzing and improving
the security of AODV, which is one of the popular routing
protocols for MANET. Presented aim is on ensuring the
security against Black hole attack. The proposed solution is
capable of detecting & removing Black hole node in the
MANET at the beginning.
Jathe S.R, Dakhane D.M. [7] performed a work,” A Review
Paper on Black Hole Attack and Comparison of Different
Black Hole Attack Techniques”. Communicating without a
network infrastructure. Due to security vulnerabilities of the
routing protocols, however, wireless ad hoc networks may
be unprotected against attacks by the malicious nodes. In this
paper Author studied the details about black hole attack, and
comparison of different black hole attack techniques.
Rashid Sheikhl, Mahakal Singh Chande et.al [8] gave a
paper on “Security Issues in MANET: A Review” In the
paper author described security issues like No predefmed
Boundary, Adversary inside the Network, Changing scale
etc.and security criteria.Also explaned the intrusion detection
systems and Privacy- preservation in MANET using Secure
Multiparty Computation solution .
Ochola EO, Eloff MM [9] performed a work, ”A Review of
Black Hole Attack on AODV Routing in MANET”. Black
Hole attacks are launched by participating malicious nodes
that agree to forward data packets to destination but
eavesdrop or drop the packets intentionally, which not only
compromise the network, but also degrade network
performance. Routing protocols, which act as the binding
force in these networks, are a common target of these nodes.
The route updates are shared not on a periodic but on an as
requirement basis. The control packets create a potential
vulnerability that is frequently exploited by malicious nodes.
The paper further analyses the impact of Black Hole attack
in AODV performance.
5. Purposed Work and Methodology
Mobile Ad-Hoc network is one of most common ad-hoc
network with lot of problems related to congestion and
routing. We are providing one of the solutions to secure the
transmission over the network. Security aspects play an
important role in almost all of the application scenarios
given the vulnerabilities inherent in wireless ad hoc
networking from the very fact that radio communication
takes place (e.g. in tactical applications) to routing, man-in-
the-middle and elaborate data injection attacks. Security has
become a primary concern in order to provide protected
communication between mobile nodes in a hostile
environment. The proposed system is about to design an
intrusion detection system to detect the black hole attack on
MANET This detection system is based on FUZZY LOGIC.
We propose an IDS system in which improvement is by
making use of two factors i.e. Packet Loss rate, Data Rate.
We will use both factors using Fuzzy logic which is problem
solving control system .Fuzzy logic provides a simple way to
arrive at a definite conclusion based upon vague, ambiguous,
noisy or missing information. We proposed an algorithm
which is based on above factors .In this algorithm firstly we
define the network with N number of nodes and we set
source node to S and destination node D and after that we we
let current node is as source node .we repeat the steps until
current node is not equal to destination node. In this now we
find the list of neighboring nodes of current node. We
identify the parameter s of each neighbor node i.e. packet
loss, data rate. In this purposed algorithm we use the concept
of Priority, only high priority nodes take part in
communication. For priority we define the three steps at
sender side.
Step 1: Packet loss is low and data rate is high then priority
is high.
Step 2: Packet loss is medium and data rate is high then
priority is medium.
Step 3: Packet loss is low and data rate is low then priority is
low.
We set priority at receiver side also when the energy of any
node is low then set the priority of node is low and node do
not take part in communication. We increase the priority of
node that they take part in communication. We are providing
the condition Data Transmitted from the node is greater than
THRESHOLD and Rate of node is also greater than
THRESHOLD then increase the level of priority.
5.1 Algorithm to Detect Black Hole
1. Define a Network with N number of nodes
2. Define the Source Node S and Destination Node D
3. Set CurNode=S as Current Node
4. While CurNode <> DestNode
a. [Repeat Steps 5 to 40]
5. Identify the list of neighbouring nodes to CurNode called
Ne(1),Ne(2)…..Ne(M)
6. For i=1 to M
7. {
8. Idenitfy the Analysis parameter for Each Neighbour called
PacketLossrate, DataRate
9. [Sender End Fuzzy Logic]
10. Fuzzify these rules under the fuzzification process
11. If ( Fuzzy(PacketLossrate(Ne(i)),Low) and
Fuzzy(DataRate(Ne(i)),High)
12. {
13. Set Priority(Ne(i))=High
14. }
15. Else If ( Fuzzy(PacketLossrate(Ne(i)),Medium) and
Fuzzy(DataRate(Ne(i)),Medium)
16. {
17. Set Priority(Ne(i))=Medium
18. }
19. Else If ( Fuzzy(PacketLossrate(Ne(i)),Low) and
Fuzzy(DataRate(Ne(i)),Low)
20. {
21. Set Priority(Ne(i))=Low.(black hole node found)
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