• 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