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Information Science Reference Deep Learning and Large Language Models in Cybersecurity

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Description

Explore how deep learning and large language models are transforming modern cybersecurity practices with this comprehensive guide from Information Science Reference. This book examines the intersection of artificial intelligence and network security, providing essential insights into advanced threat detection, machine learning applications, and contemporary defence strategies. Whether you are a security professional seeking to understand emerging technologies or an IT specialist looking to strengthen your organisation's defences, this resource covers practical approaches to leveraging deep learning models for identifying vulnerabilities, detecting anomalies, and responding to cyber threats. The Information Science Reference publication bridges the gap between theoretical AI concepts and real-world cybersecurity implementation, making it valuable for anyone working in information security, network administration, or risk management who wants to stay ahead of evolving cyber threats.

Key Features

Information Science Reference publishes this guide on deep learning applications within cybersecurity and network defence strategies.

The book covers large language models and their practical uses for threat detection and security system improvement.

Comprehensive examination of how artificial intelligence techniques enhance modern network security protocols and vulnerability assessment.

Suitable for security professionals, IT specialists, and anyone involved in information security and risk management roles.

Addresses contemporary cyber threats and the role of machine learning in developing effective defence mechanisms.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 April 2025
Listed Since
15 April 2025

Barcode

No barcode data available

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