alexa A Proportional Learning on Sink, Warm Hole Attacks wit
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
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Research Article

A Proportional Learning on Sink, Warm Hole Attacks with Prevention Algorithms in Wireless Sensor Networks PLSWHA-WSN

Savitha Devi.M1, Dr.P.ThangaRaj2
  1. Research Scholar, Department of Computer Science, Mother Theresa Women's University, Kodaikkannal, TamilNadu, India
  2. Head of Department, Department of CSE, Bannari Amman Institute of Technology, Sathiyamangalam,TamilNadu, India
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Abstract

Wireless Sensor network is a network covers of little cost resource constrained sensor nodes that are collaborating using wireless medium. Equivalent to other technologies, in WSNs there are some substantial issues that should be taken into account. One of that issues is the Intruders, who attacks our resources during the transmission and to overcome this issues, the security has to be tightened to prevent the data transfer. As the wireless sensor nodes are employed in a remote or unfriendly environmental area that is prone to attacks repeatedly, so security is an important and valuable criterion to be considered in WSNs. The researchers have a very big challenges in finding out a solution for preventing the resources from the hackers. This paper is presented to do a Comparative and Wide-range topresent all kinds of Intruders with their attacks and especially the sinkhole attackers and Warmhole attackers are analysed with their attacks of theHeterogeneous Wireless sensor Networks and data loss prevention through various algorithms for securing the data in an efficient manner.

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