This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
A Survey of Various Algorithms to Detect Black Hole Attack in Wireless Sensor Network
Authors
Soni Rani, Charanjit Singh
Abstract
In today’s world, wireless sensor network has numerous applications in military, health and environmental areas due to ease of use and having ability to withstand harsh environmental conditions. These networls are self-administered network in which nodes are self organized to have reliable communication between them. To have secure communication among various self organized nodes, security issues are of main concern. There are various types of attacks that vulnerable to wireless sensor network. Black hole attack is very common because it stop communication from source to destination. There are various measures to detect black hole attack in network. This paper focus on various algorithms to detect black hole attack. Algorithms are categorized as soft computing algorithms and AODV routing algorithm.
Keywords- Wireless Sensor Network, Black Hole Attack, Genetic Algorithm, ACO, PSO, GSA, AFSA.
Publication Details
Unique Identification Number - IJEDR1603101Page Number(s) - 614-620Pubished in - Volume 4 | Issue 3 | August 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Soni Rani, Charanjit Singh, "A Survey of Various Algorithms to Detect Black Hole Attack in Wireless Sensor Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.614-620, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603101.pdf
Article Preview
|
|
||||||
|
|
||||||||
