Detection and Elimination of Gray Hole Attack using Dynamic Credit based Technique in MANET

Makwana, Shani; Vaghela, Krunal

doi:10.5120/ijca2015905875

Cited by 3 publications

(2 citation statements)

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“…Grayhole attack detection and removal technique [14] was proposed in MANET. An algorithm was proposed for detecting and removing the grayhole attacks in the networks based on the dynamic credit based mechanism which utilizes the AODV routing protocol.…”

Section: Literature Surveymentioning

confidence: 99%

An Effective Secure Mechanism using Fuzzy Hybrid DCR Technique for MANET

Rathiga*¹,

Sathappan²

2019

IJRTE

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 Abstract: Due to various Denial-of-Service (DoS) attacks like blackhole and grayhole attacks, Mobile Ad-Hoc Networks (MANET) performance is degraded rapidly. These attacks have been detected and prevented separately by different techniques. In earlier research, hybrid black/grayhole attack detection was proposed in which blackhole and grayhole attacks were detected and prevented simultaneously based on the detection threshold. However, some malicious nodes are still present in the network by faking the threshold value and forwarding the fake message to the other nodes. Therefore, the hybrid black/grayhole attack detection is enhanced by integrating network metric measurements. In this paper, the Data-to-Control packet Ratio (DCR) is measured for removing malicious nodes from the network and also avoiding the false detection. In addition, fuzzybased mobility and traffic measurement is integrated with a hybrid DCR detection technique for removing malicious node links. Moreover, the optimal path for packet transmission is selected by measuring the queue delay based on fuzzy logic optimization. Finally, the efficiency of the proposed hybrid blackhole/grayhole attack detection technique is illustrated through the simulation results based on the throughput, packet drop rate, packet delivery ratio and routing overhead.

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Section: Literature Surveymentioning

confidence: 99%

An Effective Secure Mechanism using Fuzzy Hybrid DCR Technique for MANET

Rathiga*¹,

Sathappan²

2019

IJRTE

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“…If the node is not authenticable, it identifies that as a malicious node. Jian Ming Chng, Po Chun Tsou, Hanchieh Chao & Chin Feng Lai [9] explained, it is based on the CooperativeBait Detection Scheme(CBDS).Each source node selects their neighbour node to send a reply to the Bait REQ. The malicious node are identified by receiving the Bait REP from that node.…”

Section: Literature Surveymentioning

confidence: 99%

Reducing the Effectiveness of Gray-Hole Attack in Manet

Breen¹,

Devi²,

Sushmitha³

et al. 2018

IJET

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MANET is the mobile ad-hoc network. Security is very important especially when transmitting the data packets from one node to another. MANET is constructed by grouping mobile wireless nodes with no fixed infrastructure. In order to forward the packets, all the nodes in the network must cooperate with each other, so that the nodes beyond the radio ranges can communicate. Each node acts as a router and MANET is infrastructure-less networks. Hence, MANET is open to more security attacks such as Gray-hole attack, Black-hole attack and worm-hole attack. Due to the dynamism in network topology, MANETS are highly vulnerable and are prone to malicious attack. Security issue is highly challenging in MANET. Understanding the different form of possible attacks and providing good security solutions is important for secure data transmission between nodes. The most dangerous attack among these attacks is Gray-hole attack. In this paper, it proposed a method for reducing the Gray-hole attack. Our proposed algorithm MAODV identifies the malicious node before the data transmission process and it greatly reduces the dropping of data packets.

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