£110.52

Springer Machine Learning for Authorship and Cyber Forensics

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Description

Explore the evolving landscape of cybersecurity with this specialized text from Springer. As online communication systems like email, chat, and social media become more common, they also become more susceptible to cybercrimes. This book provides a deep look into the causes and effects of digital crimes, helping readers understand the emerging threats facing modern society. Beyond identifying risks, this work investigates the technologies and methods required to address the growing needs of digital forensics. Readers will learn how knowledge discovery, machine learning, and data analytics are applied to meet these security challenges. It is an essential resource for understanding how data-driven methods can be used to protect digital communication and support forensic investigations in an increasingly connected world.

Key Features

Analyzes the cybersecurity landscape and the vulnerabilities found in email, chat, and social media systems.

Examines common sources and resources of digital crimes along with their societal causes and effects.

Investigates relevant technologies and methods designed to meet the rising needs of digital forensics.

Provides insights into using machine learning and data analytics for advanced security applications.

Covers knowledge discovery techniques to help identify and manage emerging cyber threats.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 December 2020
Listed Since
11 September 2020

Barcode

No barcode data available

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