Artificial Intelligence and Blockchain in Digital Forensics

1. Auflage 2023
ISBN: 978-87-7022-688-2
Verlag: River Publishers

Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 594 g

Reihe: River Publishers Series in Digital Security and Forensics

Digital forensics is the science of detecting evidence from digital media like a computer, smartphone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, have meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data.

This book provides a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market.

Autoren/Hrsg.

Karthikeyan, P.

Pande, Hari Mohan

Sarveshwaran, Velliangiri

Fachgebiete

• Rechtswissenschaften Strafrecht Rechtsmedizin, Forensik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Naturwissenschaften Physik Mechanik Energie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

Section I • Digital Forensics meets AI: a game-changer for the 4th industrial revolution • MITIGATING AND CONTROLLING VIRTUAL ADDICTION THROUGH WEB FORENSICS AND DEEP LEARNING • Automatic Identification of Cyber Predators Using Text Analytics and Machine Learning • CNN classification approach to detect abusive content in text Messages • Detection of Online Sexual Predatory Chats using Deep Learning • Implementing and enhancing Security in ATM Transaction using facial recognition • NETWORK FORENSICS FRAMEWORK FOR MITIGATING ATTACKS IN SOFTWARE-DEFINED NETWORKS • Self-Destructive Virtual Addiction Behavioral Impacts on Digital Forensics Based Cyber Crimes • The Future of Artificial Intelligence in Digital Forensics:Revolutionary approach Section II • Blockchain based digital forensics: A fundamental perspective • Digital Forensic Identity to improve Transparency in Block chain Technology using Artificial Intelligence • Applying block chain technology to prevent the digital computer crime on static contents of content management system • Forensic Analysis of Online social Network data in Crime scene investigation • Blockchain-based privacy preservation technique for Digital Forensics records • A new method of Block chain on Digital forensics of Medical data in COVID 19 situation • Blockchain-based Identity Management Systems in Digital Forensics

Über Autor(innen)

P. Karthikeyan