A novel defense mechanism via Genetic Algorithm for counterfeiting and combating Jelly Fish attack in Mobile Ad-Hoc Networks

Author

Kaur, Manpreet ; Rani, Meenu ; Nayyar, Ashutosh

Author_Institution

Dept. of Comput. Sci. & Eng., PIT, Kapurthala, India

fYear

2014

fDate

25-26 Sept. 2014

Firstpage

359

Lastpage

364

Abstract

The Mobile Ad Hoc Network is a self controlling infrastructure-less wireless network with no unify administration with numerous characteristics like dynamic topology, multi hop routing, distributed routing and many more. MANETS are vulnerable to both active and passive attacks in the network. Jelly Fish attack downgrade the network performance and affects the network parameters like end to end delay, packet delivery ratio, throughput and energy spent. The end to end congestion control mechanism of Transmission Control Protocol is exploited by the Jelly Fish Attack. The main aim of this paper is to propose a novel mechanism for counterfeiting and combating the effect of Jelly Fish attack in the network using genetic algorithm.

Keywords

genetic algorithms; mobile ad hoc networks; telecommunication congestion control; telecommunication network routing; telecommunication network topology; telecommunication security; MANET; active attacks; defense mechanism; distributed routing; dynamic topology; end-to-end congestion control mechanism; end-to-end delay; energy spent; genetic algorithm; jelly fish attack combat; jelly fish attack counterfeit; mobile ad-hoc networks; multi hop routing; network performance downgrade; packet delivery ratio; passive attacks; throughput; transmission control protocol; Delays; Genetic algorithms; Marine animals; Mobile ad hoc networks; Mobile computing; Throughput; DSR; Genetic Algorithm; Jelly Fish Attack; Mobile Ad Hoc Networks; Network Parameters;

fLanguage

English

Publisher

ieee

Conference_Titel

Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -

Conference_Location

Noida

Print_ISBN

978-1-4799-4237-4

Type

conf

DOI

10.1109/CONFLUENCE.2014.6949280

Filename

6949280