An Enhanced Approach of MIMO-OFDM Data Transfer by Varying User Location Optimized by Machine and AI Learning

Devi, Kavita; Talwar, Rajneesh

doi:10.17485/ijst/2017/v10i26/115837

Indian Journal of Science and Technology

2017

DOI: 10.17485/ijst/2017/v10i26/115837

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An Enhanced Approach of MIMO-OFDM Data Transfer by Varying User Location Optimized by Machine and AI Learning

Kavita Devi

Rajneesh Talwar²

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2018

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Modified secure AODV protocol to prevent wormhole attack in MANET

Narayanan

Murugaboopathi

2018

Concurrency and Computation

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SummaryAn Adhoc network is a combination of mobile nodes that works without centralized infrastructure. Every mobile node acts as host and routers. Furthermore, it also forward packets to other mobile nodes in network which are not within the direct transmission range. Mobile Ad hoc networks are easily exposed to various network layer attacks that include black hole, wormhole, and DOS attack. Wormhole attack is one among the severe attacks in MANET. Wormhole attacker receives the packets at any particular location in the network and disturbs the flow of packet by tunneling them to another location. In this paper, advanced mechanism is presented against these wormhole attacks in a MANET. Existing methods use Quality of Service (QoS) for entire network to detect attacks. Our method makes use of the packet delivery ratio and round trip time for each node, and it also detects active and passive attacks. Thus, the complete identification of wormhole attack is possible using the proposed method.

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Modified secure AODV protocol to prevent wormhole attack in MANET

Narayanan

Murugaboopathi

2018

Concurrency and Computation

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show abstract

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An Enhanced Approach of MIMO-OFDM Data Transfer by Varying User Location Optimized by Machine and AI Learning

Cited by 1 publication

References 17 publications

Modified secure AODV protocol to prevent wormhole attack in MANET

Modified secure AODV protocol to prevent wormhole attack in MANET

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