Abstract
The MIMO transmission against a smart attacker has recently been formulated as a noncollaborative game, in which both the MIMO transmitter and the malicious attacker try to maximize their predefined utilities. In this paper, by carefully analyzing the Nash Equilibrium (NE), we focus on the conditions, in which the gaming results incline to the malicious attacker instead of the MIMO transmitter. In this adverse case, it is highly desirable to develop an effective mechanism to suppress the attack intention by the attacker for better secure communication. Motivated by this, an adaptive secure MIMO transmission scheme was proposed to make the MIMO transmitter better resist malicious attackers in adverse channel conditions. Compared with the existing gaming-based strategy, not only the transmit power of the MIMO transmitter but also the transmission probability will be adjusted in the proposed adaptive secure transmission scheme. Our analysis results show that the proposed scheme can be regarded as a generalized adaptive transmission one, i.e., when the adaptive transmit power policy is enough to suppress the attack motivation, the proposed scheme will be reduced to the adaptive power control scheme; otherwise, both the adaptive transmit power and the adaptive probabilistic transmission can be employed to suppress the attack motivation. The analysis results confirm us that the proposed adaptive transmission scheme provides us a choice to enhance the secure MIMO transmission performance in adverse conditions.
Highlights
When a malicious attacker can cleverly switch its attack mode amongst eavesdropping [1], jamming [2], and spoofing [3] to obstruct the secure communication between a transmitter and its receiver, it will impose critical challenges on the transmission strategy design for secure transmission
When the adaptive transmit power policy is enough to suppress the attack motivation, the proposed scheme will be reduced to the adaptive power control scheme; otherwise, both the adaptive transmit power and the adaptive probabilistic transmission will be employed to suppress the attack motivation of the smart attacker. e contributions of this paper can be briefly summarized as follows: (i) A comprehensive Nash Equilibrium (NE) analysis of the noncollaborative game framework in [18] was presented to explore the critical factors that dominate the game decisions
We focus on the noncollaborative game between an MIMO transmitter and one smart malicious attacker, both of which try to maximize their predefined utilities
Summary
When a malicious attacker can cleverly switch its attack mode amongst eavesdropping [1], jamming [2], and spoofing [3] to obstruct the secure communication between a transmitter and its receiver, it will impose critical challenges on the transmission strategy design for secure transmission. It is shown that the problem can be formulated as a noncooperative game, in which the power control strategy via reinforcement learning can be utilized to suppress the attack motivation of smart attackers in a dynamic MIMO transmission game without being aware of the attack and the radio channel model. Exploring the critical factors that affect the strategy of both parties and developing an effective scheme to make the MIMO transmitter realize secure transmission against the attacker under an adverse channel condition are the other two motivations of our work in this paper. (i) A comprehensive Nash Equilibrium (NE) analysis of the noncollaborative game framework in [18] was presented to explore the critical factors that dominate the game decisions In this way, we show that the power control strategy only is not enough if we wish to suppress the attack motivation by the malicious attacker in adverse channel conditions.
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