Detection of suspicious internet traffic based on differential analysis and logical rules

Author:

Ali Elsiddig MohammedORCID,Mejri Mohammed

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Reference34 articles.

1. Khraisat, A., Gondal, I., Vamplew, P., Kamruzzaman, J.: Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1), 1–22 (2019)

2. Sureda, R.T., Higuera, J.R.B., Higuera, J.B., Herraiz, J.J.M., Montalvo, J.A.S.: Prevention and fighting against web attacks through anomaly detection technology. A systematic review. Sustainability 12(12), 1–45 (2020)

3. Aldwairi, M., Abu-Dalo, A.M., Jarrah, M.: Pattern matching of signature-based IDS using Myers algorithm under MapReduce framework. EURASIP J. Info. Securi. 2017, 9 (2017)

4. Li, W., Tug, S., Meng, W., Wang, Y.: Designing collaborative blockchained signature-based intrusion detection in IoT environments. Future Generat. Comput. Syst. 96, 481–489 (2019)

5. The Snort Project. The Snort Users Manual 2.9.16. 2020. [online] https://snort-org-site.s3.amazonaws.com/production/document_files/files/000/000/249/original/snort_manual.pdf. Accessed 15 Oct 2021

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