The Experts below are selected from a list of 1695 Experts worldwide ranked by ideXlab platform

V Sankaranarayanan - One of the best experts on this subject based on the ideXlab platform.

  • prevention of co operative Black Hole Attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, 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. Our 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, termed as a ‘Black Hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our 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.

  • prevention of co operative Black Hole Attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, 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. Our 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, termed as a ‘Black Hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our 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.

Latha Tamilselvan - One of the best experts on this subject based on the ideXlab platform.

  • prevention of co operative Black Hole Attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, 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. Our 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, termed as a ‘Black Hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our 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.

  • prevention of co operative Black Hole Attack in manet
    Journal of Networks, 2008
    Co-Authors: Latha Tamilselvan, V Sankaranarayanan
    Abstract:

    A mobile ad hoc network (MANET) is an autonomous network that consists of mobile nodes that communicate with each other over wireless links. In the absence of a fixed infrastructure, 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. Our 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, termed as a ‘Black Hole’ and is eliminated. Computer simulation using GLOMOSIM shows that our 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.

Mohammed Erritali - One of the best experts on this subject based on the ideXlab platform.

  • Black Hole Attack detection in vehicular ad hoc networks using statistical process control
    The International Journal on Communications Antenna and Propagation, 2017
    Co-Authors: Badreddine Cherkaoui, Abderrahim Benihssane, Mohammed Erritali
    Abstract:

    A vehicular ad-hoc network (VANET) is a communication network designed to make vehicles communicate with each other in order to exchange useful information that makes driving easier. This communication is exposed to several vulnerabilities such as Denial of Service Attacks (DOS). Among the most known Attacks are the Black Hole Attacks. A malicious user who performs the Attack can intercept the data and destroys it without forwarding it to their destination. This can cause a serious damage when the information concerns a serious incident. In this paper, we propose a new method to detect the Black Hole Attack during communication in a VANET environment using a statistical process control (SPC). The proposed method operates in real time by monitoring network activity with graphical representations to detect abnormal deviations.

Mohamed Abid - One of the best experts on this subject based on the ideXlab platform.

  • secured aodv routing protocol for the detection and prevention of Black Hole Attack in vanet
    Social Science Research Network, 2018
    Co-Authors: Salim Lachdhaf, Mohammed Mazouzi, Mohamed Abid
    Abstract:

    Vehicular ad hoc networks (VANETs) are becoming promising and popular technologies in the recent intelligent transportation world. They are used to provide an Intelligent Transportation System (ITS), efficient Traffic Information System (TIS), and Life Safety. The mobility of the vehicles and the volatile nature of the connections in the network have made VANET vulnerable to many security threats. Black Hole Attack is one of the security threat in which node presents itself in such a way to the other vehicles that it has the freshest and the shortest path to the destination. Hence in this research paper an efficient approach for the detection and prevention of the Black Hole Attack in the Vehicular Ad Hoc Networks (VANET) is presented. The proposed solution is implemented on AODV (Ad hoc On demand Distance Vector) routing protocol one of the most popular routing protocol for VANET. The proposed strategy can detect both the single and the Cooperative Black Hole Attacks in the early phase of route discovery. The simulation is carried on NS-2 and the results of the proposed scheme are compared to the fundamental DYMO routing protocol, this results are examined on various network performance metrics such as packet delivery ratio, throughput and end-to-end delay. The found results show the efficiency of the proposed method as the delivery ratio and end to end delay of the network does not deteriorate under a Black Hole Attack.

Siddhartha Chauhan - One of the best experts on this subject based on the ideXlab platform.

  • a dynamic threshold based algorithm for improving security and performance of aodv under Black Hole Attack in manet
    Wireless Networks, 2019
    Co-Authors: Shashi Gurung, Siddhartha Chauhan
    Abstract:

    Mobile Ad hoc network (MANET) is a wireless network which is characterized by dynamic network topology, open medium, multi-hop communication etc. in which each device not only acts as a router but also as a host. Security in the mobile ad-hoc network is one of the most sought-after research topic. The performance of MANET is greatly affected by the presence of malicious nodes in the network. One of the most common Attacks in MANET is a denial of service Attack in which the source node is not able to communicate with the destination node due to malicious behaviour of the node. The malicious node which drops the packet is known as a Black-Hole node. In order to mitigate the Black-Hole Attack problem, various techniques have been used by many researchers. In this paper, based on a dynamic sequence number threshold value, MBDP-AODV protocol is used. The main contribution of this paper is the performance evaluation of MBDP-AODV protocol under Black-Hole Attack. Through simulation, it has been found that MBDP-AODV protocol is able to mitigate the impact of Black-Hole Attack under different network density. Although it improves the network performance in terms of packet delivery, throughput and reduces the normalized routing load but it has high routing overhead.

  • A dynamic threshold based approach for mitigating Black-Hole Attack in MANET
    Wireless Networks, 2018
    Co-Authors: Shashi Gurung, Siddhartha Chauhan
    Abstract:

    Mobile ad-hoc network is an infrastructure less type of network which does not require any kind of fixed infrastructure. It provides multi-hop communication between the source and destination nodes which are not within the direct range of each other through the intermediate nodes. These intermediate nodes cooperate with other nodes in finding an optimum and shortest route toward the destination. However, in holistic environments, some nodes do not cooperate with other nodes in finding the optimal route towards the destination and intentionally give the false route information of having the shortest path toward the destination with a high destination sequence number in order to attract the traffic toward itself and start dropping of the data packets instead of forwarding it. This type of routing misbehaviour is generally called as Black Hole Attack or full packet dropping Attack which is one of the most severe destructive Attacks that lead to the network degradation. In this paper, we have proposed a protocol called as Mitigating Black Hole effects through Detection and Prevention (MBDP-AODV) based on a dynamic threshold value of the destination sequence number. In order to validate the efficiency of proposed protocol, the NS-2.35 simulator is used. The simulation results show that proposed protocol performs better as compared with existing one under Black Hole Attack.

  • a review of Black Hole Attack mitigation techniques and its drawbacks in mobile ad hoc network
    International Conference on Wireless Communications and Signal Processing, 2017
    Co-Authors: Shashi Gurung, Siddhartha Chauhan
    Abstract:

    Mobile Ad-hoc Network (MANET) is a prominent technology in the wireless networking field in which the movables nodes operates in distributed manner and collaborates with each other in order to provide the multi-hop communication between the source and destination nodes. Generally, the main assumption considered in the MANET is that each node is trusted node. However, in the real scenario, there are some unreliable nodes which perform Black Hole Attack in which the misbehaving nodes attract all the traffic towards itself by giving false information of having the minimum path towards the destination with a very high destination sequence number and drops all the data packets. In the paper, we have presented different categories for Black Hole Attack mitigation techniques and also presented the summary of various techniques along with its drawbacks that need to be considered while designing an efficient protocol.