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Deployable Machine Learning for Security Defense

This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020;

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A Machine-Learning Approach to Phishing Detection and Defense

into machine-learning strategies for facinga variety of information security threats;

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Mastering Machine Learning for Penetration Testing

is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the;

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Adversarial Robustness for Machine Learning

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on;

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Machine Learning for Cyber Security

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS;

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Machine Learning for Cyber Security

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS;

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Machine Learning for Cyber Security

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS;

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Science of Cyber Security

. These papers cover the following subjects: Artificial Intelligence for Cybersecurity, Machine Learning for Cybersecurity, and Mechanisms for;

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Machine Learning and Security

learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Symmetry-Adapted Machine Learning for Information Security

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Machine Learning and Cognitive Science Applications in Cyber Security

. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect;

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Imbalanced Learning

Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet;

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Cyber Security Cryptography and Machine Learning

This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held;

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Machine Learning with the Elastic Stack

data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally;

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Availability, Reliability, and Security in Information Systems

, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016;

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Enhancing Computer Security with Smart Technology

with a machine learning background, then introduces machine learning concepts to computer security professionals. Realizing the massive;

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Machine Learning for Networking

learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new;

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Information and Communications Security

, applied cryptograph internet security, machine learning security, machine learning privacy, Web security, steganography and steganalysis.;

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Cyber Security Cryptography and Machine Learning

This book constitutes the refereed proceedings of the Fourth International Symposium on Cyber Security Cryptography and Machine Learning;

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Cyber Security Cryptography and Machine Learning

This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning;

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Machine Learning and Big Data Analytics Paradigms

many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;

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Embedded Vision

of applications to artificialintelligence, machine learning, industry,science, medicine, transportation, civil infrastructure, and security Covers a;

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Cyber Security Cryptography and Machine Learning

This book constitutes the refereed proceedings of the 5th International Symposium on Cyber Security Cryptography and Machine Learning;

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Applied Machine Learning for Smart Data Analysis

such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key;

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