Paper Info
Title
Intrusion Detection In Mobile Sensor Networks: A Case Study For Different Intrusion Paths
Abstract
Intrusion detection is a very sensitive and major concern in wireless sensor networks. In border areas, sensors are installed to discover the presence of enemies or any trace passing in a prohibited area or any vicious moving object in the region of interest. In order to gain access to a region of interest, an intruder can take various paths, i.e., it can move along a straight line, follow a zigzag path or a curved path and move at a particular angle to cross the region without being detected and to improve its attacking ability. This paper formulates and analyzes kappa-barrier coverage probability which acts as the intrusion detection probability for an intruder when the intruder follows different paths at different path angles with respect to the shortest path to cross the region of interest in a mobile sensor network. Furthermore, the effect of different network variables such as node density, sensing range, intrusion path angle and the ratio of sensor to intruder velocity on intrusion detection probability are also investigated. It is believed that the proposed model renders an effective tool to incorporate the intruder's movement pattern in the design of an advanced finite wireless sensor network.
Year
DOI
Venue
2020
10.1007/s11277-020-07697-1
WIRELESS PERSONAL COMMUNICATIONS
Keywords
DocType
Volume
Barrier coverage, Field of interest (FOI), Gaussian distribution, Intrusion detection, Intrusion path, Mobility, Poisson distribution, Sensing range, Uniform distribution
Journal
115
Issue
ISSN
Citations 
3
0929-6212
1
PageRank 
References 
Authors
0.35
0
2
Name
Order
Citations
PageRank
Sandeep Sharma1132.73
Jaiprakash Nagar2132.85