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Malware Analysis Using Artificial Intelligence and Deep Learning

Malware Analysis Using Artificial Intelligence and Deep Learning

ScienceTechnology
Pages
671
Published
2020
Language
English

Synopsis

This book explores the application of artificial intelligence and deep learning techniques to the critical field of malware analysis. It provides a comprehensive examination of how these advanced computational methods can be leveraged to detect, classify, and understand malicious software. Readers will gain insights into cutting-edge strategies for combating cyber threats using intelligent systems.

Prose complexity
10/10

Vibe

InformativeIntellectualComplex

Genres

Science Technology

Authors

A
Andrii Shalaginov

Andrii Shalaginov, an expert in cybersecurity and artificial intelligence, is the author of Malware Analysis Using Artificial Intelligence and Deep Learning. This book offers practical insights into using AI for threat detection, making it a valuable read for technical professionals.

M
Mamoun Alazab

Mamoun Alazab is a leading voice in cybersecurity, specializing in how artificial intelligence and deep learning can combat digital threats. His book, "Malware Analysis Using Artificial Intelligence and Deep Learning," provides essential reading for anyone interested in advanced security techniques. He offers practical insights into protecting systems in the digital age.

M
Mark Stamp

Mark Stamp writes about information security, with a focus on topics like applied cryptanalysis and malware analysis. His books include "Information Security" and "Malware Analysis Using Artificial Intelligence and Deep Learning." He also explores international insider dealing in his writings.