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  • 标题:An Alternative Approach to Detect Presence of Black Hole Nodes in Mobile Ad-Hoc Network Using Artificial Neural Network
  • 本地全文:下载
  • 作者:Arnab Mitra ; Rajib Ghosh ; Apurba Chakraborty
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:3
  • 出版社:S.S. Mishra
  • 摘要:This research work reports on Alive and Black Hole node detection if it exists in any Mobile ad hoc networks (MAN ETs). The dynamic topology of MANETs allows nodes to join and leave the network at any time instance. This general feature of MANET ha s exposed to major security attacks including existence of black hole nodes, which adversely affects the entire routing practice. To deal with this routing mess, we have proposed an Artificial Neural Network (ANN) based automated Black Hole node detection tactic, which is capable of detecting the existence of Black hole node(s) in the MAN ET and thus helps to minimize the smash up in reliable routing procedure. Experimental results in network simulation confirm the hazards caused by presence of Black hole node(s) in MANET, which is same as our earlier research on black hole node detection using Cellular Automata (CA) [1].
  • 关键词:Mobile ad hoc networks (MANETs); black hole node detection; network security; dynamic routing; ;Artificial Neural Network (ANN)
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