Intrusion Detection System in Wireless Sensor Networks: A Review
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 12
Abstract
The security of wireless sensor networks is a topic that has been studied extensively in the literature. The intrusion detection system is used to detect various attacks occurring on sensor nodes of Wireless Sensor Networks that are placed in various hostile environments. As many innovative and efficient models have emerged in the last decade in this area, we mainly focus our work on Intrusion detection Systems. This paper reviews various intrusion detection systems which can be broadly classified based on certain traditional techniques, namely signature based, anomaly based and hybrid based. The models proposed by various researchers have been critically examined based on certain classification parameters, such as detection rate, false alarm, algorithms used, etc. This work contains a summarization study of various intrusion detection systems used particularly in Wireless Sensor Networks, and also highlights their distinct features.
Authors and Affiliations
Anush Ananthakumar, Tanmay Ganediwal, Dr. Ashwini Kunte
Keywords
Related Articles
- EP ID EP148875
- DOI 10.14569/IJACSA.2015.061218
- Views 90
- Downloads 0
Grid Approximation Based Inductive Charger Deployment Technique in Wireless Sensor Networks
Ensuring sufficient power in a sensor node is a challenging problem now-a-days to provide required level of security and data processing capability demanded by various applications scampered in a wireless sensor network....
U Patch Antenna using Variable Substrates for Wireless Communication Systems
Due to their smaller size and light weighted structures patch antennas are frequently now used in GPS transmitters and receivers and throughout modern communication technology. In this paper a miniaturaized patch antenna...
Underwater Optical Fish Classification System by Means of Robust Feature Decomposition and Analysis using Multiple Neural Networks
Live fish recognition and classification play a pivotal role in underwater understanding, because it help scientists to control the subsea inventory in order to aid fishery management. However, despite technological prog...
A Collaborative Process of Decision Making in the Business Context based on Online Questionnaires
This article is a component of a series of articles and scientific researches conducted by the research team which deals with the web 2.0 and its interactions with the different technology areas. During recent years, the...
Bio-Inspired Clustering of Complex Products Structure based on DSM
Clustering plays an important role in the decomposition of complex products structure. Different clustering algorithms may achieve different effects of the decomposition. This paper aims to proposes a bio-inspired geneti...