DocumentCode :
3459943
Title :
A Novel Taxonomy of Black-Hole Attack Detection Techniques in Mobile Ad-hoc Network (MANET)
Author :
Sherif, Ahmed ; Elsabrouty, Maha ; Shoukry, Amin
Author_Institution :
Sch. of Electron., Commun. & Comput. Eng., Egypt-Japan Univ. of Sci. & Technol. (EJUST), Alexandria, Egypt
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
346
Lastpage :
352
Abstract :
Mobile Ad-Hoc Networks (MANETs) are characterized by the lack of infrastructure, dynamic topology, and their use of the open wireless medium. Black-hole attack represents a major threat for such type of networks. The purpose of this paper is two folds. First, to present an extensive survey of the known black-hole detection and prevention approaches. Another objective is to present new dimensions for their classification.
Keywords :
computer crime; mobile ad hoc networks; telecommunication security; MANET; black-hole attack detection techniques; black-hole detection; black-hole prevention; dynamic topology; mobile ad-hoc network; network threat; open wireless medium; Ad hoc networks; Genetic algorithms; Monitoring; Routing; Routing protocols; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/CSE.2013.60
Filename :
6755239
Link To Document :
بازگشت