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Data Science in Cybersecurity and Cyberthreat Intelligence

automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified;

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2020 International Conference on Applications and Techniques in Cyber Intelligence

of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book;

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2021 International Conference on Applications and Techniques in Cyber Intelligence

of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book;

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International Conference on Applications and Techniques in Cyber Intelligence AT

of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to be able to secure our cyberfuture;

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2021 International Conference on Applications and Techniques in Cyber Intelligence

of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book;

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Provenance in Data Science

. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack maps that aggregate and/or fuse heterogeneous data from disparate;

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Machine Intelligence and Big Data Analytics for Cybersecurity Applications

. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for;

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Artificial Intelligence and Cybersecurity

Cybersecurity Discusses intelligent data management and automated systems through Artificial Intelligence and Cyber Security;

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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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Emerging Technologies in Computing

Artificial Intelligence, Blockchain, Internet of Things, Multimedia Big data, Blockchain, Augmented reality, Data Science, Robotics, Cybersecurity;

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Using Science In Cybersecurity

account uncertain data. Extensive examples demonstrate how to deploy cybersecurity to sort our day-to-day problems. Using Science in Cybersecurity;

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Hands-On Cybersecurity with Blockchain

introducing you to the common cyberthreat landscape and common attacks such as malware, phishing, insider threats, and DDoS. The next set of chapters;

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Deterrence by Denial

studies, and cybersecurity. ;

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Data Analytics and Decision Support for Cybersecurity

adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a;

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Artificial Intelligence and Blockchain for Future Cybersecurity Applications

This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted;

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The Digital Big Bang

Cybersecurity experts from across industries and sectors share insights on how to think like scientists to master cybersecurity challenges;

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Cybersecurity in the COVID-19 Pandemic

. Internet fraudsters exploited human and system vulnerabilities and impacted data integrity privacy and digital behaviour. Cybersecurity in the;

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Advances in Artificial Intelligence and Security

: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security; Part III: cloud computing and;

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Cyber Influence and Cognitive Threats

general election and the Brexit vote, the debate over manipulation of social Big Data continues to gain more momentum. Cyber Influence and;

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Big Data and Security

papers included in this book cover topics in cybersecurity & privacy, big data, blockchain & internet of things, security in cloud and fog;

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Big Data and Security

. The papers included in this book are organized according to the topical sections on cybersecurity and privacy, big data, blockchain and;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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US National Cybersecurity

national cybersecurity. These contributions showcase the diversity of approaches and issues shaping contemporary understandings of cybersecurity;

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Context-Aware Machine Learning and Mobile Data Analytics

the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a;

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Computational Intelligence in Data Science

Intelligence in Data Science, ICCIDS 2020, held in Chennai, India, in February 2020.The 19 revised full papers and 8 revised short papers presented;

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The Big Data-Driven Digital Economy

view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other;

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