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Springer AI in Cybersecurity: 151 Intelligent Systems Library

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Description

Modern cybersecurity threats have grown to a scale that exceeds the capabilities of even the most skilled security professionals. As cybercrime evolves, relying on yesterday's security incidents to predict tomorrow's attacks is no longer a viable strategy. This book from the Intelligent Systems Reference Library provides a necessary shift from reactive to proactive defense. Within these pages, you will find a collection of state-of-the-art AI approaches designed to enhance cyberthreat intelligence. The text offers strategic defense mechanisms for malware and methods for assessing vulnerabilities to stay ahead of emerging risks. By integrating artificial intelligence into security frameworks, this volume helps bridge the gap between traditional methods and the complex requirements of modern digital defense. It is an essential resource for those looking to understand how intelligent systems can be applied to combat sophisticated cyberattacks and build more resilient security infrastructures.

Key Features

Explores state-of-the-art AI approaches to strengthen cybersecurity and cyberthreat intelligence frameworks.

Provides strategic defense mechanisms specifically designed to combat and manage malware threats.

Offers methods for assessing vulnerabilities to help transition from reactive to proactive security countermeasures.

Addresses the growing complexity of cybercrime that exceeds traditional human security capabilities.

Part of the Intelligent Systems Reference Library, volume 151, for specialized technical knowledge.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 September 2018
Listed Since
10 July 2018

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