Paper Info
Title
Multi-Layer Approach for the Detection of Selective Forwarding Attacks.
Abstract
Security breaches are a major threat in wireless sensor networks (WSNs). WSNs are increasingly used due to their broad range of important applications in both military and civilian domains. WSNs are prone to several types of security attacks. Sensor nodes have limited capacities and are often deployed in dangerous locations; therefore, they are vulnerable to different types of attacks, including wormhole, sinkhole, and selective forwarding attacks. Security attacks are classified as data traffic and routing attacks. These security attacks could affect the most significant applications of WSNs, namely, military surveillance, traffic monitoring, and healthcare. Therefore, there are different approaches to detecting security attacks on the network layer in WSNs. Reliability, energy efficiency, and scalability are strong constraints on sensor nodes that affect the security of WSNs. Because sensor nodes have limited capabilities in most of these areas, selective forwarding attacks cannot be easily detected in networks. In this paper, we propose an approach to selective forwarding detection (SFD). The approach has three layers: MAC pool IDs, rule-based processing, and anomaly detection. It maintains the safety of data transmission between a source node and base station while detecting selective forwarding attacks. Furthermore, the approach is reliable, energy efficient, and scalable.
Year
DOI
Venue
2015
10.3390/s151129332
SENSORS
Keywords
Field
DocType
wireless sensor networks,selective forwarding attacks
Base station,Anomaly detection,Data transmission,Efficient energy use,Robust random early detection,Computer security,Network layer,Computer network,Engineering,Wireless sensor network,Scalability
Journal
Volume
Issue
ISSN
15
11.0
1424-8220
Citations 
PageRank 
References 
2
0.36
8
Authors
2
Name
Order
Citations
PageRank
naser m alajmi120.36
Khaled M. Elleithy244872.86