A novel approch for gray hole and black hole detection and prevention

Dixit, Sweta; Pathak, Priya; Gupta, Sandeep

doi:10.1109/cdan.2016.7570861

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Simulation studies are made using NS-2 by the authors to show that the performance of the network increases by his proposed work in comparison to AODV and SAODV under blackhole attacks. Dixit et al [22] suggested an intrusion detection systembased onvoting todetectblack-hole attack and gray-hole attack in MA-NET. A routing table is maintained based on the votes made by the nodes participating within the network based on the behaviour of their neighbour nodes.…”

Section: Related Workmentioning

confidence: 99%

Energy aware detection and prevention of black hole attack in MANET

Panda¹,

Pattanayak²

2018

IJET

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Energy and security are the two vital components of Mobile Ad-hoc Networks (MANETs). During routing finding an optimal path from sender to receiver sense of path length (number of hops), longevity (battery life) and security becomes an essential requirement. Variety of schemes are proposed by the researchers for finding the shortest path along with energy saving and protecting from attacks Black-hole and gray-hole attacks are some of the most harmful attacks against MANET communication and needs attention. These attacks may cause by insider or outsider malicious node(s) who may drop packets or misroute the information during communication from sender node to receiver node. In our study we proposed an intelligent routing protocol based on Ant Colony Optimization (ACO) technique that finds shortest path from source to destination, applies the concept of power aware techniques to save energy increasing the longevity of the link avoiding link failure and also uses the concept of digital signatures, watchdog and path rater for detection and avoidance ofblackhole and gray-hole attacks. Simulation study of the proposed scheme is made over some network parameters and found to be efficient in comparison to the basic AODV routing protocol.

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Section: Related Workmentioning

confidence: 99%

Energy aware detection and prevention of black hole attack in MANET

Panda¹,

Pattanayak²

2018

IJET

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Invincible AODV to detect black hole and gray hole attacks in mobile ad hoc networks

Venu¹,

Damodaram

2018

Int J Communication

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SummaryToday's communication world is majorly driven by mobile nodes that demand wireless systems for their data relay. One such network is mobile ad hoc network, which is a purely wireless network with which communication is feasible instantly without any aid of preexisting infrastructure; due to this magnificent feature, it has a wide variety of applications. Mobile ad hoc network hinges on cooperative nature of the mobile nodes for relaying data. But at the same time, nodes relaying data for others may compromise, leading to various security attacks. Two main security attacks that drastically bring down the performance of mobile ad hoc network are black hole and gray hole attacks. In this paper, we propose 2 versions of invincible Ad hoc On‐Demand Distance Vector protocol to detect black hole and gray hole nodes that have bypassed preventive mechanism during route discovery process. First is the basic version, which is based on node‐to‐node frame check sequence tracking mechanism, and second is the enhanced version, which is based on signed frame check sequence tracking mechanism. They create a deterrent environment addressing all kinds of black and gray hole attacks. They also provide reliable data transmission to all the nonmalicious nodes in the network by using end‐to‐end authentication mechanism. Simulation results show better performance in packet delivery ratio when compared with other contemporary solutions while addressing all kinds of black and gray hole attacks. It shows significant improvement in end‐to‐end delay and normalized routing load over Ad hoc On‐Demand Distance Vector under black hole or gray hole attacks and also shows better throughput and packet delivery ratio than the existing solution.

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Comparative Study of OLSR, DSDV, AODV, DSR and ZRP Routing Protocols Under Blackhole Attack in Mobile Ad Hoc Network

Singh

2018

Advances in Intelligent Systems and Computing

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A novel approch for gray hole and black hole detection and prevention

Cited by 4 publications

References 9 publications

Energy aware detection and prevention of black hole attack in MANET

Energy aware detection and prevention of black hole attack in MANET

Invincible AODV to detect black hole and gray hole attacks in mobile ad hoc networks

Comparative Study of OLSR, DSDV, AODV, DSR and ZRP Routing Protocols Under Blackhole Attack in Mobile Ad Hoc Network

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