Game Theory-Based Defense Mechanisms of Cyber Warfare

Ravishankar, Monica; Rao, Dushyant; Kumar, Suthikshn

doi:10.1007/978-981-10-8569-7_16

Cited by 1 publication

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References 2 publications

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“…The wargaming process comprises of the identification, defence, response, and recovery phases to a cyberattack in depth. Cyberwargames that use game Theory to model the attackers and defenders are designed by setting up a cyber test-bed to exercise cyberattack scenarios on a network environment [78][79][80] . In the game theoretic framework, two approaches have been used: a probabilistic framework and a bayesian belief framework where the attack and defender try to anticipate the opponent's strategy with complete and incomplete information with learning.…”

Section: Discussionmentioning

confidence: 99%

A Survey of Adversarial Machine Learning in Cyber Warfare

Duddu¹

2018

Def. Sc. Jl.

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The changing nature of warfare has seen a paradigm shift from the conventional to asymmetric, contactless warfare such as information and cyber warfare. Excessive dependence on information and communication technologies, cloud infrastructures, big data analytics, data-mining and automation in decision making poses grave threats to business and economy in adversarial environments. Adversarial machine learning is a fast growing area of research which studies the design of Machine Learning algorithms that are robust in adversarial environments. This paper presents a comprehensive survey of this emerging area and the various techniques of adversary modelling. We explore the threat models for Machine Learning systems and describe the various techniques to attack and defend them. We present privacy issues in these models and describe a cyber-warfare test-bed to test the effectiveness of the various attack-defence strategies and conclude with some open problems in this area of research.

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Section: Discussionmentioning

confidence: 99%

A Survey of Adversarial Machine Learning in Cyber Warfare

Duddu¹

2018

Def. Sc. Jl.

View full text Add to dashboard Cite

show abstract

Game Theory-Based Defense Mechanisms of Cyber Warfare

Cited by 1 publication

References 2 publications

A Survey of Adversarial Machine Learning in Cyber Warfare

A Survey of Adversarial Machine Learning in Cyber Warfare

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