Fight Against Malicious Tracking Jammer: A Quantitative Compensation Based Collaborative Jamming-Deceiving Approach

This study proposes a quantitative compensation mechanism based on multi-user cooperative anti-jamming strategies in wireless communication system. The fundamental principle is to exploit the tracking characteristics of jammer by deploying decoy user to attract jamming attacks, thereby shielding the communication of legitimate users on other channels. Furthermore, a compensation mechanism of power price is designed to enhance the transmission satisfaction of the decoy user, with the associated power cost shared collectively by all users. The communication resources allocation under jamming conditions is first addressed and modeled as a consensus game with existence of a pure strategy Nash Equilibrium. Subsequently, the system performance is further improved by the proposed channel-power joint optimization algorithm based on the compensation mechanism. Simulation results demonstrate that the proposed algorithm can improve system utility effectively, while simultaneously satisfying the basic communication requirements of the decoy user.

Authors

Institutions

Publication Details

Published
2025-07-25
DOI
https://doi.org/10.1109/iccsn66511.2025.11172638
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fight Against Malicious Tracking Jammer: A Quantitative Compensation Based Collaborative Jamming-Deceiving Approach

Zhibin Feng, Gui Fang, Xiaolong Zhao, Yifan Xu et al.
Network Security and Intrusion Detection
article

Fight Against Malicious Tracking Jammer: A Quantitative Compensation Based Collaborative Jamming-Deceiving Approach

Zhibin Feng, Gui Fang, Xiaolong Zhao, Yifan Xu, Haoming Li, Fei Song
article en

Abstract

This study proposes a quantitative compensation mechanism based on multi-user cooperative anti-jamming strategies in wireless communication system. The fundamental principle is to exploit the tracking characteristics of jammer by deploying decoy user to attract jamming attacks, thereby shielding the communication of legitimate users on other channels. Furthermore, a compensation mechanism of power price is designed to enhance the transmission satisfaction of the decoy user, with the associated power cost shared collectively by all users. The communication resources allocation under jamming conditions is first addressed and modeled as a consensus game with existence of a pure strategy Nash Equilibrium. Subsequently, the system performance is further improved by the proposed channel-power joint optimization algorithm based on the compensation mechanism. Simulation results demonstrate that the proposed algorithm can improve system utility effectively, while simultaneously satisfying the basic communication requirements of the decoy user.

PLA Army Engineering University (CN)
Openalex Percentile: Top 70%
Network Security and Intrusion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fight Against Malicious Tracking Jammer: A Quantitative Compensation Based Collaborative Jamming-Deceiving Approach — Zhibin Feng, Gui Fang, et al. · (2025) | TGRS Research Map | TGRS