Network Forensics in the Era of Artificial Intelligence
Edited book (chapter)
Yang, Wencheng, Johnstone, Michael N., Wang, Song, Karie, Nickson M., Bin Sahri, Nor Masri and Kang, James Jin. 2022. "Network Forensics in the Era of Artificial Intelligence." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 171-190
| Chapter Title | Network Forensics in the Era of Artificial Intelligence |
|---|---|
| Book Chapter Category | Edited book (chapter) |
| ERA Publisher ID | 3337 |
| Book Title | Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence |
| Authors | Yang, Wencheng (Author), Johnstone, Michael N. (Author), Wang, Song (Author), Karie, Nickson M. (Author), Bin Sahri, Nor Masri (Author) and Kang, James Jin (Author) |
| Editors | Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan |
| Volume | 1025 |
| Page Range | 171-190 |
| Series | Studies in Computational Intelligence |
| Chapter Number | 8 |
| Number of Pages | 20 |
| Year | 2022 |
| Publisher | Springer |
| Place of Publication | Cham, Switzerland |
| ISBN | 9783030966294 |
| 9783030966300 | |
| ISSN | 1860-949X |
| 1860-9503 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-96630-0_8 |
| Web Address (URL) | https://link.springer.com/chapter/10.1007/978-3-030-96630-0_8 |
| 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. |
| Keywords | Artificial intelligence; Cyberattacks; Intrusion detection systems; Network frensics |
| ANZSRC Field of Research 2020 | 460402. Data and information privacy |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Edith Cowan University |
| La Trobe University | |
| Journal Title | Studies in Computational Intelligence |
| Institution of Origin | University of Southern Queensland |
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