Ensuring survivability against Black Hole Attacks in MANETS for preserving energy efficiency

Khamayseh, Yaser; Aljawarneh, Shadi; Asaad, Alaa Ebrahim

doi:10.1016/j.suscom.2017.07.001

Cited by 28 publications

(25 citation statements)

References 3 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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“…Since attackers are detected during route discovery stage, the network overhead for detection during packet forwarding is avoided. Black holes are detected using cooperative sensing in [17]. Due to the detection of Black holes, there is limitation in network life time and packet delivery ratio.…”

Section: Related Workmentioning

confidence: 99%

Secure Energy Efficient Attack Resilient Routing Technique for Zone based Wireless Sensor Network

M¹,

Srinivas²

2020

IJACSA

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“…Black hole attack made the systems execution hazard, regarding bundle conveyance information and the number of dropped bundles. For that, Yaser M. Khamayseh et al 28 refreshed the AODV information structures and furthermore included three new records. Initially, to spare the two RREP (route, reply), the second one is for all neighbors, and the third one is for the black hole node.…”

Section: Related Workmentioning

confidence: 99%

Identifying and detecting black hole and gray hole attack in MANET using gray wolf optimization

Vatambeti

Supriya²,

Sanshi

2020

Int J Communication

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SummaryMobile ad hoc networks (MANETs) become most vibrant and are widely used in various applications, including military, commercial sectors, and personal area networks. However, security is a major issue in routing; because of moving nodes, mainly it suffers from a black hole and gray hole attack. This kind of attack is difficult to predict and is harmful to the network. To address this problem, here, we introduce the gray wolf optimization (GWO) with trust setup data aggregation called gray wolf trust accumulation in wireless ad hoc network architecture. To maintain and enhance the security in routing, here, we update the trust setup data aggregation in GWO mechanism. After the detection of black hole and gray hole attack, we need to maintain the path stability for data transmission, trust schematic process monitor all the nodes, and maintain path stability. Using the behavior of GWO, we can detect the black hole and gray hole attack at a rate of 98.5% and also improve the packet delivery ratio by 98.2% with 10 m/s. Also, with the help of the trust setup data aggregation model, we can update our trust model and security maintenance. Thus, our proposed technique enhances the packet transmission in MANET and secures the routing layer.

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Ensuring survivability against Black Hole Attacks in MANETS for preserving energy efficiency

Cited by 28 publications

References 3 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

Secure Energy Efficient Attack Resilient Routing Technique for Zone based Wireless Sensor Network

Identifying and detecting black hole and gray hole attack in MANET using gray wolf optimization

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