£115.91

Springer Adaptive Autonomous Secure Cyber Systems Book

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Description

Explore the scientific foundations of autonomous cyber defense in this specialized text by Springer. This book addresses the core problems necessary for developing systems capable of independent security operations. It examines how moving target defenses (MTDs) and adaptive cyber defenses (ACDs) can be built using game and control theory to support fully autonomous cyber operations. The content investigates the potential for designing autonomous cyber systems that operate within frameworks fundamentally different from current human-based models. Readers will learn about the application of on-line learning algorithms, including deep recurrent networks and reinforcement learning. These technologies are essential for providing the situational awareness and decision-making capabilities required for modern autonomous cyber environments.

Key Features

Covers game and control theory-based moving target defenses (MTDs) for autonomous cyber operations.

Explores adaptive cyber defenses (ACDs) designed for fully autonomous security environments.

Examines the design of autonomous systems that differ from traditional human-based frameworks.

Discusses on-line learning algorithms, including reinforcement learning for autonomous decision-making.

Analyzes deep recurrent networks to improve situational awareness in cyber systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 February 2021
Listed Since
09 January 2021

Barcode

No barcode data available

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