A generic request/reply based algorithm for detection of blackhole attack in MANET

Bhagat, Swapnil P.; Padiya, Puja; Marathe, Nilesh

doi:10.1109/smarttechcon.2017.8358529

Cited by 5 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Black hole attack can seriously damage the performance of MANET, and this kind of attack is launched either by a single independent node or a group of malevolent nodes [26]. AODV protocol works on the sequence number of nodes for estimating the freshness of route.…”

Section: Black-hole Attacksmentioning

confidence: 99%

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

Pathan¹,

He²,

Zhu³

et al. 2019

ijacsa

View full text Add to dashboard Cite

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.

show abstract

Section: Black-hole Attacksmentioning

confidence: 99%