TY - GEN
T1 - Detection of intelligent malicious and selfish nodes in VANET using threshold adaptive control
AU - Kerrache, Chaker Abdelaziz
AU - Lakas, Abderrahmane
AU - Lagraa, Nasreddine
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/13
Y1 - 2017/1/13
N2 - Detecting malicious and selfish nodes is an important task in Vehicular Adhoc NETworks (VANETs). Various proposals adopted trust management as an alternative solution for it is less costly in terms of computation delay and mobility adaptation, compared to the cryptography-based solutions. However, the existing solutions assume that in general the attackers have always a dishonest behavior that persists over time. This assumption may be misleading, as the attackers can behave intelligently to avoid being detected. In this paper we propose a new solution for the detection of intelligent malicious behaviors based on the adaptive detection threshold. In addition to the detection of malicious nodes, our solution incite attackers to behave well since any malicious behavior will be immediately detected thanks to the adaptive detection threshold. We present simulations results which show the high efficiency of our proposal at ensuring high ratios for both detection and packet delivery.
AB - Detecting malicious and selfish nodes is an important task in Vehicular Adhoc NETworks (VANETs). Various proposals adopted trust management as an alternative solution for it is less costly in terms of computation delay and mobility adaptation, compared to the cryptography-based solutions. However, the existing solutions assume that in general the attackers have always a dishonest behavior that persists over time. This assumption may be misleading, as the attackers can behave intelligently to avoid being detected. In this paper we propose a new solution for the detection of intelligent malicious behaviors based on the adaptive detection threshold. In addition to the detection of malicious nodes, our solution incite attackers to behave well since any malicious behavior will be immediately detected thanks to the adaptive detection threshold. We present simulations results which show the high efficiency of our proposal at ensuring high ratios for both detection and packet delivery.
KW - Adaptive Threshold
KW - Security
KW - Trust Management
KW - Vehicular Ad-hoc Networks
UR - http://www.scopus.com/inward/record.url?scp=85019682751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019682751&partnerID=8YFLogxK
U2 - 10.1109/ICEDSA.2016.7818492
DO - 10.1109/ICEDSA.2016.7818492
M3 - Conference contribution
AN - SCOPUS:85019682751
T3 - International Conference on Electronic Devices, Systems, and Applications
BT - 2016 5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016
PB - IEEE Computer Society
T2 - 5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016
Y2 - 6 December 2016 through 8 December 2016
ER -