International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 115 - Issue 16 |
Published: April 2015 |
Authors: Chunnu Lal, Akash Shrivastava |
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Chunnu Lal, Akash Shrivastava . An Energy Preserving Detection Mechanism for Blackhole Attack in Wireless Sensor Networks. International Journal of Computer Applications. 115, 16 (April 2015), 32-37. DOI=10.5120/20236-2516
@article{ 10.5120/20236-2516, author = { Chunnu Lal,Akash Shrivastava }, title = { An Energy Preserving Detection Mechanism for Blackhole Attack in Wireless Sensor Networks }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 115 }, number = { 16 }, pages = { 32-37 }, doi = { 10.5120/20236-2516 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Chunnu Lal %A Akash Shrivastava %T An Energy Preserving Detection Mechanism for Blackhole Attack in Wireless Sensor Networks%T %J International Journal of Computer Applications %V 115 %N 16 %P 32-37 %R 10.5120/20236-2516 %I Foundation of Computer Science (FCS), NY, USA
Wireless sensor networks (WSNs) are currently used in many application areas such as military applications, control and tracking applications, habitat monitoring applications where they face attacks already experienced by the Internet and wireless ad hoc networks. One such attack is that of Blackhole Denial-of-Service (DoS). In Blackhole attack a node captures all data packets coming to it. WSNs have Sensor Nodes which have limited energy and processing capability. With the resource limitations of WSN devices, they are particularly susceptible to the consumption and destruction of these scarce resources. Denial-of-Service (DoS) attacks have become a major threat to WSNs. It is critical challenge to develop the effective and lightweight security mechanism to detect and prevent various attacks for WSN, especially for the Denial-of-Service (DoS) attack. This paper discusses current state of art in various security mechanisms which detect and prevent the Blackhole Denial-of-Service (DoS) attack in WSNs and proposed an energy-preserving detection mechanism against Blackhole attack.