A modified approach for recognition and eradication of extenuation of gray-hole attack in MANET using AODV routing protocol

Kumar, Sudheer; Doohan, Nitika Vats

doi:10.1109/cdan.2016.7570922

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…• We have proposed a prominent technique for the detection of malicious attacks, such as black hole and gray hole attacks, through the intrusion detection system (IDS) nodes using the connected dominating set (CDS) technique. Our work is different from past research, wherein the approach used was only for black hole attacks [12][13][14] or the proposed scheme worked only for gray hole attacks [15][16][17].…”

Section: Findings and Contributionmentioning

confidence: 80%

A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs

Zardari

Zhu

et al. 2019

Future Internet

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A mobile ad-hoc network (MANET) is a temporary network of wireless mobile nodes. In a MANET, it is assumed that all of the nodes cooperate with each other to transfer data packets in a multi-hop fashion. However, some malicious nodes don’t cooperate with other nodes and disturb the network through false routing information. In this paper, we propose a prominent technique, called dual attack detection for black and gray hole attacks (DDBG), for MANETs. The proposed DDBG technique selects the intrusion detection system (IDS) node using the connected dominating set (CDS) technique with two additional features; the energy and its nonexistence in the blacklist are also checked before putting the nodes into the IDS set. The CDS is an effective, distinguished, and localized approach for detecting nearly-connected dominating sets of nodes in a small range in mobile ad hoc networks. The selected IDS nodes broadcast a kind of status packet within a size of the dominating set for retrieving the complete behavioral information from their nodes. Later, IDS nodes use our DDBG technique to analyze the collected behavioral information to detect the malicious nodes and add them to the blacklist if the behavior of the node is suspicious. Our experimental results show that the quality of the service parameters of the proposed technique outperforms the existing routing schemes.

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Section: Findings and Contributionmentioning

confidence: 80%

A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs

Zardari

Zhu

et al. 2019

Future Internet

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“…In this way, source device 8 having sinkhole diverts the local data traffic to itself and now it can perform any malicious action. 10,11 In MANETs, the devices have limited energy to establish the links to broadcast the data packets. Malicious devices transmit beacon messages periodically in MANETs, making a huge amount of useless data traffic to increase the routing overhead.…”

Section: Background and Related Workmentioning

confidence: 99%

“…In this way, source device 8 having sinkhole diverts the local data traffic to itself and now it can perform any malicious action. 10,11…”

Section: Background and Related Workmentioning

confidence: 99%

An intrusion detection system for the prevention of an active sinkhole routing attack in Internet of things

Tahir

Bakhsh

Alsemmeari

2019

International Journal of Distributed Sensor Networks

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Internet of things (IoT) is a complex and massive wireless network, where millions of devices are connected together. These devices gather different types of data from different systems that transform human daily lives by modernizing home appliances, business, medicine, traveling, research, and so on. Security is a critical challenge for a stable IoT network, for instance, routing attacks, especially sinkhole attack is a severe attack which has the capability to direct network data toward the intruder, and it can also disrupt and disconnect the devices from their network. The IoT needs multi-facet security solutions where network communication is protected with integrity, confidentiality, and authentication verification services. Therefore, the IoT network should be secured against intrusions and disruptions; the data exchanged throughout the network should be an encrypted form. In this article, an intrusion detection system for the prevention of an active sinkhole routing attack (PASR) in IoT is presented. The proposed PASR solves the problem of the sinkhole attack; for this purpose, the whole network is divided into the clusters of IoT. All the IoT devices are connected to their respective gateways. The gateway devices are equipped with an intrusion detection system. The intrusion detection system activates intrusion analyzer to detect anomalies in the context of ad hoc on-demand distance vector protocol. The base station is the main device that is responsible to receive data from all devices. Therefore, it detects and prevents sinkhole attacks; the base station keeps the record of all active devices and their possible links. The PASR is implemented and compared with the existing intrusion detection techniques ad hoc on-demand distance vector, and dual attack detection for black and gray hole attack. It was observed from the simulation results that the PASR outperforms in terms of data packet delivery, energy consumption, the detection rate of sinkhole attack, and routing overhead.

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“…Kumar et al proposed a technique to detect the malicious nodes by using IDS nodes in [34]. The main objective of this work was to design a technique to detect the detect black-hole attack and also lessen the effect of malicious node on genuine nodes.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Scheme for Detection and Prevention of Black Hole Attacks in AODV-Based MANETs

Pathan¹,

He²,

Zhu³

et al. 2019

ijacsa

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Mobile ad hoc network (MANET) is a set of independent mobile nodes, which connect to each other over a wireless channel without any centralized infrastructure, nor integrated security. MANET is a weak target to many Denial of Service (DOS) attacks, which seriously harms its functionality and connectivity. A black hole attack is a type of DOS attack, where the malevolent node tries to get all the data packets from a source node by sending fabricated fake route reply (RREP) packet, falsely pretending that it possesses the shortest path towards the destination node, and then drops all the packets it receives. In this paper, the AODV (Ad-hoc on-demand distance vector) routing protocol is improved by incorporating an efficient and simple mechanism to mitigate black hole attacks. Mechanism to detect black hole attacks from MANET (MDBM) uses fake route request (RREQ) packets with an unreal destination address in order to detect black hole nodes prior to the actual routing process. Simulation experiment conducted has verified the performance of the proposed detection and prevention scheme. The results demonstrated that the proposed mechanism performed well in terms of Packet Delivery Ratio, End-to-End Delay and Throughput under black hole attack.

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A modified approach for recognition and eradication of extenuation of gray-hole attack in MANET using AODV routing protocol

Cited by 9 publications

References 11 publications

A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs

A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs

An intrusion detection system for the prevention of an active sinkhole routing attack in Internet of things

An Efficient Scheme for Detection and Prevention of Black Hole Attacks in AODV-Based MANETs

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