TY - GEN
T1 - Intrusion detection for wireless sensor networks
T2 - 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
AU - Guan, Sanghai
AU - Wang, Jingjing
AU - Jiang, Chunxiao
AU - Tong, Jihong
AU - Ren, Yong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/8
Y1 - 2018/6/8
N2 - In view of the compelling applications in both military and civilian fields, wireless sensor networks (WSNs) have attracted an unprecedented focus on their easy configuration and low cost. Due to the openness of wireless media and constrained resources of WSNs, it is of paramount importance to timely discern the malicious intrusion and unauthorized manipulation. In this paper, we engage in providing an intrusion detection mechanism relying on a novel multi-criteria game. In our model, the interaction between potential attackers and defenders is formulated as a two-player non-zero-sum multi-criteria game, where multiple objectives, i.e. the information security, reputation and energy consumption, are considered when searching for the Pareto equilibrium. Moreover, a light weighting strategy is proposed in order to construct the payoff vector. Finally, simulation results and theoretical analysis show the effectiveness and feasibility of our proposed mechanism.
AB - In view of the compelling applications in both military and civilian fields, wireless sensor networks (WSNs) have attracted an unprecedented focus on their easy configuration and low cost. Due to the openness of wireless media and constrained resources of WSNs, it is of paramount importance to timely discern the malicious intrusion and unauthorized manipulation. In this paper, we engage in providing an intrusion detection mechanism relying on a novel multi-criteria game. In our model, the interaction between potential attackers and defenders is formulated as a two-player non-zero-sum multi-criteria game, where multiple objectives, i.e. the information security, reputation and energy consumption, are considered when searching for the Pareto equilibrium. Moreover, a light weighting strategy is proposed in order to construct the payoff vector. Finally, simulation results and theoretical analysis show the effectiveness and feasibility of our proposed mechanism.
KW - Intrusion detection
KW - Multi-criteria game
KW - Multi-objective optimization
KW - Pareto equilibrium
UR - https://www.scopus.com/pages/publications/85049192144
U2 - 10.1109/WCNC.2018.8377427
DO - 10.1109/WCNC.2018.8377427
M3 - 会议稿件
AN - SCOPUS:85049192144
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 1
EP - 6
BT - 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 April 2018 through 18 April 2018
ER -