Anchit Bijalwan

Network Forensics (eBook, PDF)

Privacy and Security

• Format: PDF

Produktbeschreibung

This book primarily focuses on providing deep insight into the concepts of network security, network forensics, botnet forensics, ethics and incident response in global perspectives. It also covers the dormant and contentious issues of the subject in most scientific and objective manner.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 306
• Erscheinungstermin: 27. Dezember 2021
• Englisch
• ISBN-13: 9781000462739
• Artikelnr.: 62883406

Autorenporträt

Dr. Anchit Bijalwan is an academician, researcher, consultant, and mentor with 18 years of teaching experience for graduate, postgraduate students, and Ph.D. He is working as an Associate Professor in the Faculty of Electrical & Computer Engineering, Arba Minch University, Ethiopia. He is handling projects from the various funding agencies. He has authored of books and published more than forty research papers in reputed international journals and conferences. He is also working on various international research and community service projects. He is a specialization in Privacy & Security. His interest areas include network forensics, botnet forensics, Industry 4.O, Internet of Things, and machine learning. He has chaired the technical sessions for IEEE international conferences as well as Springer conferences and he is a committee member for the umpteen conferences. He was a keynote speaker of the many conferences including El Salvador, Central America and India. He is a reviewer of Inderscience, IGI Global and many other publishers.

Inhaltsangabe

Part A: Network Forensics Concepts. 1: Introduction. 1.1 Network Security.
1.2 Digital Forensics . 1.3 Computer Forensics . 1.4 Network Forensics .
1.5 Computer Forensics Vs Network Forensics 2: Cyber Crime. 2.1
Introduction2.2 Attack Intentions2.3 Malware2.3 Terminology for the Cyber
Attackers2.4 Types of attacks 3: Network Forensics & Its Process Model.
3.1 Introduction3.2 Recent trends in Network Forensics3.3 Network Forensics
Life Cycle 3.4 Generic Process Model3.5 Frameworks 4: Classification of
Network Forensics. 4.1 Introduction. 4.2 Types of Network Forensics
Classification4.3 Payload Classification4.4 Signature based
Classification4.5 Decision Tree based classification4.6 Ensemble based
Classification Part B: Network Forensics Acquisition 5: Network Forensics
Tools. 5.1 Introduction5.2 IP tracing Tools5.3 Traceroute Tools 5.4
Monitoring Tools 5.5 Analysis Tools 6: Network Forensics Techniques. 6.1
Introduction6.2 Conventional Network Forensics Techniques6.3 Advanced
Network Forensics Techniques 7: Detection of Vulnerabilities7.1
Introduction7.2 Network Forensics Acquisition 7.3 Identification of Network
Attacks. Part C: Network Forensics Attribution 8: Network Forensics
Analysis8.1 Introduction. 8.2 Network Forensic Process Model. 8.3Framework
for Analysis. 8.4 Network Forensic Traffic Analysis (Case-1). 8.5 Network
Forensic Traffic Analysis (Case-2) 9: Evidence &Incident Response. 9.1
Introduction 9.2 Evidence Handling9.3 Types of Evidence9.4 Evidence
Handling Procedure9.5 Incident response 9.6 Initial Response Process9.7
Incident Classification 10: Botnet Forensics. 10.1 Introduction. 10.2
Evolution of Botnet. 10.3 Botnet Lifecycle. 10.4 Botnet Structure. 10.5
Botnet Security Attacks. 10.6 Traditional Botnet Attacks. 10.7 Recent
Botnet Attacks 11: Botnet Forensics. 11.1 Introduction. 11.2 Methodology
used in Botnet Forensics. 11.3 Nature of Botnet Forensics. 11.4 Background.
11.5 Botnet Forensics Classification. 11.6 Botnet Forensic Framework. 11.7
Botnet Forensic Analysis. 11.8 Challenges . Summary 12: System
Investigation & Ethical Issues. 12.1 Introduction12.2 Crimes12.3 Computer
Law12.4 Live System12.6 Live System Analysis12.7 Ethical Issues