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