Joint Attack-Defense Strategy Based on Game Theory for Cognitive Devices in Covert Communication Networks

Van-Hiep VU; Insoo KOO

doi:10.1587/transfun.E101.A.544

Joint Attack-Defense Strategy Based on Game Theory for Cognitive Devices in Covert Communication Networks

Van-Hiep VU, Insoo KOO

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This research addresses improvements in the efficiency of spectrum utilization by defending against jamming attacks and corrupting the communications of the adversary network by executing its own jamming strategy. The proposed scheme, based on game theory, selects the best operational strategy (i.e., communications and jamming strategies) to maximize the successful communications and jamming rates of the network. Moreover, an estimation algorithm is investigated to predict the behavior of the adversary network in order to improve the efficiency of the proposed game theory-based scheme.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.2 pp.544-548

Publication Date: 2018/02/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E101.A.544

Type of Manuscript: LETTER

Category: Communication Theory and Signals

Authors

Van-Hiep VU
University of Ulsan
Insoo KOO
University of Ulsan

Keyword

cognitive radio, physical layer security, jamming device, maximizing success rates

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Van-Hiep VU, Insoo KOO, "Joint Attack-Defense Strategy Based on Game Theory for Cognitive Devices in Covert Communication Networks" in IEICE TRANSACTIONS on Fundamentals, vol. E101-A, no. 2, pp. 544-548, February 2018, doi: 10.1587/transfun.E101.A.544.
Abstract: This research addresses improvements in the efficiency of spectrum utilization by defending against jamming attacks and corrupting the communications of the adversary network by executing its own jamming strategy. The proposed scheme, based on game theory, selects the best operational strategy (i.e., communications and jamming strategies) to maximize the successful communications and jamming rates of the network. Moreover, an estimation algorithm is investigated to predict the behavior of the adversary network in order to improve the efficiency of the proposed game theory-based scheme.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.544/_p

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@ARTICLE{e101-a_2_544,
author={Van-Hiep VU, Insoo KOO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Joint Attack-Defense Strategy Based on Game Theory for Cognitive Devices in Covert Communication Networks},
year={2018},
volume={E101-A},
number={2},
pages={544-548},
abstract={This research addresses improvements in the efficiency of spectrum utilization by defending against jamming attacks and corrupting the communications of the adversary network by executing its own jamming strategy. The proposed scheme, based on game theory, selects the best operational strategy (i.e., communications and jamming strategies) to maximize the successful communications and jamming rates of the network. Moreover, an estimation algorithm is investigated to predict the behavior of the adversary network in order to improve the efficiency of the proposed game theory-based scheme.},
keywords={},
doi={10.1587/transfun.E101.A.544},
ISSN={1745-1337},
month={February},}

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TY - JOUR
TI - Joint Attack-Defense Strategy Based on Game Theory for Cognitive Devices in Covert Communication Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 544
EP - 548
AU - Van-Hiep VU
AU - Insoo KOO
PY - 2018
DO - 10.1587/transfun.E101.A.544
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2018
AB - This research addresses improvements in the efficiency of spectrum utilization by defending against jamming attacks and corrupting the communications of the adversary network by executing its own jamming strategy. The proposed scheme, based on game theory, selects the best operational strategy (i.e., communications and jamming strategies) to maximize the successful communications and jamming rates of the network. Moreover, an estimation algorithm is investigated to predict the behavior of the adversary network in order to improve the efficiency of the proposed game theory-based scheme.
ER -