Cognitive Jamming Game for Dynamically Countering Ad Hoc Cognitive Radio Networks

Conley, William G.; Miller, Adam J.

doi:10.1109/milcom.2013.201

Cited by 12 publications

(3 citation statements)

References 6 publications

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“…In principle, it is about learning from own, detector's and jammer's reactions to different stimulus such that opponent's life is made miserably. A game theoretic analysis is shown in [10]. The radio should learn how a jammer reacts its signals in hit, evasive action, hit, ... chain and adjust own behavior correspondingly.…”

Section: Cognitionmentioning

confidence: 99%

Future military mobile radio communication systems from electronic warfare perspective

Saarnisaari

Bräysy

2017

2017 International Conference on Military Communications and Information Systems (ICMCIS)

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Abstract-Detection devices are becoming more wideband, faster scanning and their signal processing capabilities are increasing. In addition, sophisticated jamming devices have become rather powerful. As a consequence, threats to military radio communications have increased such that it is about time to discuss what features future military radio systems should have in order to battle against these increased menaces. This paper fills this gap by considering this problem from the point of view of electronic warfare physics. The result is a set of features that would help in the engagement. Furthermore, it discusses what effects these features have for radio system design. The proposed features add new properties, compared with legacy radios, that require new control functionalities that have to cooperate with old ones as well as together and also add radio hardware. Therefore, corresponding research problems will not be easily solved.

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Section: Cognitionmentioning

confidence: 99%

Future military mobile radio communication systems from electronic warfare perspective

Saarnisaari

Bräysy

2017

2017 International Conference on Military Communications and Information Systems (ICMCIS)

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“…Further, the adversary can disrupt communications using jamming techniques during the data transmission phase [11]. Jamming in a cognitive radio network dynamically, using stochastic game models, was studied in [12], [13].…”

Section: Introductionmentioning

confidence: 99%

“…This enables us to perform the optimization when a closed form expression for the objective function is not available. In [12] and [13], jamming attacks are analyzed as a dynamic game, where the users and the adversary use the probability of successful jamming as a predetermined parameter. In the jamming section of this work, we analyze the probability of successful jamming by the adversary, and optimize the adversary power allocation to maximize the average probability of successful jamming.…”

Section: Introductionmentioning

confidence: 99%

Optimized Spoofing and Jamming a Cognitive Radio

Soysa

Cosman

Milstein

2014

IEEE Trans. Commun.

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We examine the performance of a cognitive radio system in a hostile environment where an intelligent adversary tries to disrupt communications by minimizing the system throughput. We investigate the optimal strategy for spoofing and jamming a cognitive radio network with a Gaussian noise signal over a Rayleigh fading channel. We analyze a cluster-based network of secondary users (SUs). The adversary may attack during the sensing interval to limit access for SUs by transmitting a spoofing signal. By jamming the network during the transmission interval, the adversary may reduce the rate of successful transmission. We present how the adversary can optimally allocate power across subcarriers during sensing and transmission intervals with knowledge of the system, using a simple optimization approach specific to this problem. We determine a worst-case optimal energy allocation for spoofing and jamming, which gives a lower bound to the overall information throughput of SUs under attack.

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From Adaptive Communication Anti‐Jamming to Intelligent Communication Anti‐Jamming: 50 Years of Evolution

Zhou,

Niu

2024

Advanced Intelligent Systems

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Herein, a comprehensive review of the evolution of intelligent communication anti‐jamming techniques is provided. First, a clear definition of the concept and elaboration on the inherent connotations and capability characteristics of intelligent communication anti‐jamming is provided. Additionally, the initial construction of an intelligent communication anti‐jamming system architecture is outlined. Subsequently, the development of intelligent communication anti‐jamming is delved, tracing its progression from early‐stage adaptive anti‐jamming techniques to the more recent advancements in intelligent anti‐jamming, which are primarily based on game theory and machine learning. Moreover, the latest research findings in this domain are thoroughly examined and the existing challenges and bottlenecks that hinder current research progress are highlighted. Finally, several viable research directions for future studies in the field of intelligent anti‐jamming are proposed. The objective is to facilitate readers in gaining a comprehensive understanding of the concept, characteristics, and system architecture of intelligent communication anti‐jamming. Additionally, it is aimed to provide a comprehensive overview of the developmental process and current state of research, thereby furnishing conceptual and theoretical support for the design of more effective and practical intelligent communication anti‐jamming systems.

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Cognitive Jamming Game for Dynamically Countering Ad Hoc Cognitive Radio Networks

Cited by 12 publications

References 6 publications

Future military mobile radio communication systems from electronic warfare perspective

Future military mobile radio communication systems from electronic warfare perspective

Optimized Spoofing and Jamming a Cognitive Radio

From Adaptive Communication Anti‐Jamming to Intelligent Communication Anti‐Jamming: 50 Years of Evolution

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