Name
Title | ||
|---|---|---|
A Game-theoretic Approach for Channel Security Against Active Time-Varying attacks Based on Artificial Noise. |
Abstract | ||
|---|---|---|
To penetrate sensitive communication systems, attackers can attack the channel using an active time-varying (ATV) way, which will lead to a great information loss. The conventional approach is to encrypt the original signal making it difficult for attackers to get information. However, this technology is constrained by the limited wireless terminal equipment. In this paper, we choose to insert artificial noise into the channel, which aims at disturbing the attackers and reducing the loss of the system once attacks occur. However, this technology would produce some side effects and there is a tradeoff between inserting artificial noise and minimizing information loss. In this paper, we deal with this issue and propose a game-theoretic framework to minimize the total losses. We model the problem as a Stackelberg security game between the attacker and the defender. Furthermore, we propose a novel method to reduce the searching space of computing the Strong Stackelberg Equilibrium which is the optimal defense strategy. This algorithm reduces a M-dimensional problem to M 1-dimensional problems so that the complexity is lowered. The experimental results show that our proposed algorithm significantly outperforms other non-strategic strategies in terms of decreasing the total losses against ATV attacks. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s12652-019-01350-x | Journal of Ambient Intelligence and Humanized Computing |
Keywords | Field | DocType |
Active time-varying attacks, Artificial noise, Stackelberg game, Stackelberg equilibrium, Channel security | Data mining,Wireless,Computer science,Computer network,Communications system,Communication channel,Encryption,Game theoretic,Artificial noise,Stackelberg competition,Terminal equipment | Conference |
Volume | Issue | ISSN |
11 | 6 | 1868-5137 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ling Qin | 1 | 49 | 5.04 |
| Ling Qin | 2 | 49 | 5.04 |
| Mingchu Li | 3 | 469 | 78.10 |
| Yingmo Jie | 4 | 16 | 3.26 |