TY - GEN
T1 - MAB-Learning-based hierarchical defense for secure underwater acoustic networks
AU - Zhou, Yi
AU - Zhang, Qunfei
AU - Yan, Zhenhua
AU - He, Chengbing
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/28
Y1 - 2021/7/28
N2 - The underwater acoustic network (UAN) without defensive support is unreliable in an increasingly competitive marine environment. In this paper, a hierarchical defense algorithm that applies multi-armed bandit (MAB) learning is presented to combat the intelligent mobile attackers and protect the underwater relay transmissions. Specifically, the identities of the significant nodes of a network are changed periodically to hide the critical routing paths. The learning-based communication system can achieve stable links through the optimal spoofing scheme that is to mislead the attackers sensitive to the environmental feedback, and then alleviate the potential threat from invaders. Simulation results verify that the proposed defense strategy can fast reduce the outage probability of the protected objects and prolong the lifetime of underwater networks.
AB - The underwater acoustic network (UAN) without defensive support is unreliable in an increasingly competitive marine environment. In this paper, a hierarchical defense algorithm that applies multi-armed bandit (MAB) learning is presented to combat the intelligent mobile attackers and protect the underwater relay transmissions. Specifically, the identities of the significant nodes of a network are changed periodically to hide the critical routing paths. The learning-based communication system can achieve stable links through the optimal spoofing scheme that is to mislead the attackers sensitive to the environmental feedback, and then alleviate the potential threat from invaders. Simulation results verify that the proposed defense strategy can fast reduce the outage probability of the protected objects and prolong the lifetime of underwater networks.
KW - Multi-armed bandit learning
KW - Network security
KW - Underwater acoustic network
UR - http://www.scopus.com/inward/record.url?scp=85116419416&partnerID=8YFLogxK
U2 - 10.1109/ICCCWorkshops52231.2021.9538873
DO - 10.1109/ICCCWorkshops52231.2021.9538873
M3 - 会议稿件
AN - SCOPUS:85116419416
T3 - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
SP - 282
EP - 287
BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Y2 - 28 July 2021 through 30 July 2021
ER -