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In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive losses and frequent attacks dictate the need for accurate and timely detection methods. Current static and dynamic methods do not provide efficient detection, especially when dealing with zero-day attacks. For this reason, big data analytics and machine intelligencebased techniques can be used. This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat in...
This book constitutes the refereed proceedings of the Second International Conference on Information Systems Security, ICISS 2006, held in Kolkata, India in December 2006. The 20 revised full papers and five short papers presented together with four invited papers and three ongoing project summaries were carefully reviewed and selected from 79 submissions. The papers discuss in depth the current state of the research and practice in information systems security.
Premise: "A secret underground civilization of Choctaws, deep beneath the Ouachita Mountains of southeastern Oklahoma, has evolved into a high-tech culture, supported by the labor of slaves kidnapped from the surface."
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GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities o...
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