Title :
Adaptive probability marking traceback scheme to enhance security in wireless sensor networks
Author :
Anfeng Liu;Xiao Liu;Jun Long
Author_Institution :
School of Information Science and Engineering, Central South University, ChangSha, 410083, China
Abstract :
Security is a pivotal issue for Wireless sensor networks (WSNs) which are emerging as a promising platform that enable a wide range of applications in military, scientific, industrial and commercial applications. Traceback as one of key cyber forensics technologies can play an important role to trace and locate malicioussource as to guarantee cyber security. An adaptive probability marking traceback (APMT) scheme is proposed to enhance security for WSNs. In APMT scheme, the marking probability is adaptive adjust according to the requirement of the security which can substantial reduce marking tuples and improve lifetime. The results of experimental show that: the number of total marking tuples can be reduced by 13.20%-73.70% in APMT scheme, it can improve the network lifetime, at the same time, and the traceback time can be reduced by more than 80%.
Keywords :
"Wireless sensor networks","Probability","Security","Energy consumption","Adaptive systems","Energy storage","Integrated circuit modeling"
Conference_Titel :
Information, Communications and Signal Processing (ICICS), 2015 10th International Conference on
DOI :
10.1109/ICICS.2015.7459924