DocumentCode
3185272
Title
Selective forwarding detection (SFD) in wireless sensor networks
Author
Alajmi, Naser M. ; Elleithy, Khaled M.
Author_Institution
Comput. Sci. & Eng. Dept., Univ. of Bridgeport, Bridgeport, CT, USA
fYear
2015
fDate
1-1 May 2015
Firstpage
1
Lastpage
5
Abstract
Security is the critical subject in wireless sensor networks. Therefore, WSNs are susceptible to several types of security attacks. One reason to attack sensor networks is the limited capacity of sensor nodes. The security attacks could affect the most significant applications in WSNs area such as military surveillance, traffic monitor, and healthcare. Thus, there are different types of detection approaches against security attacks on the network layer in WSNs. Also, there are severe constraints on sensor nodes like reliability, energy efficiency, and scalability, which affect the security in WSNs. Since the sensor nodes have limited capabilities for most of these constraints, a selective forwarding attack is difficult to detect in the networks. Malicious nodes in the selective forwarding attack, work as normal nodes. However, it attempts to find the sensitive messages and drop them before sending the packet to other nodes. In order to keep this type of attacks away from networks, we propose a multi layers approach (SFD) that preserves the safely of data transmission between sensor nodes while detecting the selective forwarding attack. Furthermore, the approach includes reliability, energy efficiency, and scalability.
Keywords
telecommunication network reliability; telecommunication security; wireless sensor networks; SFD; WSN; data transmission; security attacks; selective forwarding detection; wireless sensor networks; Base stations; Computer science; Energy consumption; Monitoring; Watermarking; Wireless sensor networks; Wireless Sensor Networks (WSNs) and Selective Forwarding Attacks;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island
Conference_Location
Farmingdale, NY
Type
conf
DOI
10.1109/LISAT.2015.7160207
Filename
7160207
Link To Document