Event Abstration in a Forensic Timeline
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62624-1_10
Reference15 articles.
1. Bhattacharya, S., Ray, B., Chugh, R., Gordon, S.: An online parsing framework for semistructured streaming system logs of internet of things systems. IEEE Open J. Instrum. Meas. 2, 1–18 (2023)
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3. Du, X., Le, Q., Scanlon, M.: Automated artefact relevancy determination from artefact metadata and associated timeline events. In: 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), pp. 1–8 (2020)
4. El-Masri, D., Petrillo, F., Guéhéneuc, Y.G., Hamou-Lhadj, A., Bouziane, A.: A systematic literature review on automated log abstraction techniques. Inf. Softw. Technol. 122, 106276 (2020)
5. Galhuber, M., Luh, R.: Time for truth: forensic analysis of NTFS timestamps. In: Proceedings of the 16th International Conference on Availability, Reliability and Security, pp. 1–10 (2021)
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