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£128 today · previous high £128 · all-time low £112

Springer Handbook of Big Data Analytics and Forensics

Amazon

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Description

Explore the latest developments in big data analytics and digital forensics with this comprehensive handbook from Springer. This text addresses the limitations of current solutions while presenting state-of-the-art advances from both academic research and industrial applications. Readers will find detailed reviews of IoT security, privacy, and forensics, with a specific focus on IoT devices and unmanned aerial vehicles (UAVs). The content provides technical approaches to modern security challenges, such as using deep learning to process cloud log data and mitigate enumeration attacks. Additionally, the book covers methods to protect IT-based infrastructure against advanced persistent threats through robust fuzzy learning models. This resource serves as a technical guide for understanding the evolving landscape of data management and digital security.

Key Features

This Springer handbook provides a deep look into the current challenges and limitations found in existing big data analytics and digital forensics solutions.

The text includes a comprehensive review of IoT security, privacy, and forensics literature with specific focus on IoT and unmanned aerial vehicles (UAVs).

Learn about deep learning-based approaches designed to process cloud log data and mitigate enumeration attacks effectively.

The book proposes a robust fuzzy learning model to help protect IT-based infrastructure against advanced persistent threats (APT).

Access state-of-the-art advances in the field gathered from both academic studies and industrial implementations.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 December 2022
Listed Since
08 November 2022

Barcode

No barcode data available

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