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This handbook offers a examination of the changing landscape of cybersecurity, exploring the challenges and solutions that... Læs mere
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This book is an in-depth exploration of the mysterious and complex realm of the Dark Web, Dark AI Tools and offensive security use cases... Læs mere
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Benford’s Law offers a powerful, data-driven approach to anomaly detection. Discovered 150 years ago, it wasn’t... Læs mere
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As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data.
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This open access book provides the first comprehensive collection of papers that provide an integrative view on cybersecurity. The book has a strong practical focus as it... Læs mere
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Tools and technologies have long complemented and extended our physical abilities: from pre-historic spearheads to steam-propelled ploughs and high-tech prosthetics.
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This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field.
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This book makes the case that traditional security design does not take the end-user into consideration, and therefore, fails. This book considers the end user as... Læs mere
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This book discusses the main legal and economic challenges to the creation and enforcement of security rights in intellectual property and explores possible... Læs mere
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This book outlines the legal powers of a major Western nation – Australia – to collect and use location information.
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This book introduces the state-of-the-art algorithms for data and computation privacy.