Pattern Based Detection of DDoS Attacks in MANET
Divya Gautam1, Vrinda Tokekar2
1Divya Gautam, Department of Computer Science and Engineering, Amity University Madhya Pradesh, Gwalior.
2Prof (Dr) Vrinda Tokekar, Department of Information and Technology, Institute of Engineering, DAVV,Indore.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 270-273 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6331068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A MANET is a decentralized form of ad hoc network which does not depend on any existent infrastructure such as routers or access points. Distributed Denial of service attack (DDoS) is defined as attacking routing function and taking down the entire operation of the mobile ad hoc network. The two primary victims of DDoS attacks are the functions of routing and the battery capacity. The DDoS attack can cause routing table overflow which in turn can potentially cause the infected node floods. The routing overflow is followed by creating a fake route packet to consume the available resources of the participating active nodes. This cause disrupts the normal functioning of legitimate routes. Battery capacity is targeted by keeping it engaged in routing decisions. In this work the detection of DDoS attacks are done on the basis of patterns of packets incoming in the node. The simulation is carried out in NS2. The attack traffic and non attack traffic patterns are analyzed after simulation depending upon different parameters like bitrate, pdr entropy. The patterns obtained are clearly showing the difference between attack traffic and non attack traffic in MANET environment.
Keyword: DDoS, MANET, NS2, bitrate, pdr, delay, entropy.
Scope of the Article: Image Processing and Pattern Recognition