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Springer Adaptive Autonomous Secure Cyber Systems - Springer Book

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Description

Adaptive Autonomous Secure Cyber Systems by Springer examines the scientific foundations required to build and operate fully autonomous cyber defense systems. The book addresses game theory and control theory approaches to moving target defences and adaptive cyber defences, exploring how autonomous systems can function within frameworks distinct from traditional human-operated security models. It covers on-line learning algorithms, deep recurrent networks, and reinforcement learning techniques essential for the situational awareness and decision-making processes that autonomous cyber systems require. This comprehensive resource bridges theoretical cyber defence concepts with practical implementation strategies for next-generation security infrastructure.

Key Features

Springer's exploration of game theory and control theory foundations for moving target defences in autonomous cyber operations.

Detailed coverage of adaptive cyber defences designed specifically for fully autonomous systems and operations.

In-depth examination of on-line learning algorithms and their application to autonomous cyber decision-making processes.

Comprehensive treatment of deep recurrent networks and reinforcement learning for autonomous situational awareness.

Analysis of frameworks for operating autonomous cyber systems independently from traditional human-based security approaches.

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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