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Machine Learning for Authorship Attribution and Cyber Forensics (Hardcover, 1st ed. 2020) Loot Price: R4,576
Discovery Miles 45 760
Machine Learning for Authorship Attribution and Cyber Forensics (Hardcover, 1st ed. 2020): Farkhund Iqbal, Mourad Debbabi,...

Machine Learning for Authorship Attribution and Cyber Forensics (Hardcover, 1st ed. 2020)

Farkhund Iqbal, Mourad Debbabi, Benjamin C M Fung

Series: International Series on Computer Entertainment and Media Technology

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Loot Price R4,576 Discovery Miles 45 760 | Repayment Terms: R429 pm x 12*

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The book first explores the cybersecurity's landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes. Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potential suspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals. Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: International Series on Computer Entertainment and Media Technology
Release date: December 2020
First published: 2020
Authors: Farkhund Iqbal • Mourad Debbabi • Benjamin C M Fung
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 158
Edition: 1st ed. 2020
ISBN-13: 978-3-03-061674-8
Categories: Books > Social sciences > Sociology, social studies > Crime & criminology > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-061674-6
Barcode: 9783030616748

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