Network Forensics in the Era of Artificial Intelligence

Yang, Wencheng ORCID: https://orcid.org/0000-0001-7800-2215 and Johnstone, Michael N. and Wang, Song and Karie, Nickson M. and Bin Sahri, Nor Masri and Kang, James Jin (2022) Network Forensics in the Era of Artificial Intelligence. In: Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Studies in Computational Intelligence, 1025. Springer, Cham, Switzerland, pp. 171-190. ISBN 9783030966294


Abstract

Network forensics investigates a network attack by tracing the source of the attack and attributing the crime to a person, host or network. It can anticipate prospective attacks by establishing attack patterns based on available evidence and intrusion data traces. This chapter introduces network forensics, describes some common attacks targeting networks and existing network forensic tools. Moreover, this chapter describes the current development of network forensics techniques, such as IP Traceback Techniques, Intrusion Detection Systems, Attack Graph-based Techniques, Honeypots and Privacy-preserving Data Analytics. Based on the above, some specific research gaps in current network forensics research in the era of artificial intelligence are identified.


Statistics for USQ ePrint 51240
Statistics for this ePrint Item
Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Date Deposited: 28 Sep 2022 00:06
Last Modified: 19 Oct 2022 05:39
Uncontrolled Keywords: Artificial intelligence; Cyberattacks; Intrusion detection systems; Network frensics
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4604 Cybersecurity and privacy > 460402 Data and information privacy
Socio-Economic Objectives (2020): 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220405 Cybersecurity
Identification Number or DOI: https://doi.org/10.1007/978-3-030-96630-0_8
URI: http://eprints.usq.edu.au/id/eprint/51240

Actions (login required)

View Item Archive Repository Staff Only