An Effective Intrusion Detection System in Cloud Computing Environment
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7982-8_56
Reference31 articles.
1. Mell P, Grance T (2011) The NIST—National Institute of Standars and Technology—definition of cloud computing. NIST Spec Publ 800–145:7
2. Masoodi FS, Abrar I, Bamhdi AM (2021) An effective intrusion detection system using homogeneous ensemble techniques. Int J Inf Secur Priv 16(1):1–18. https://doi.org/10.4018/ijisp.2022010112
3. Abrar I, Ayub Z, Masoodi F, Bamhdi AM (2020) A machine learning approach for intrusion detection system on NSL-KDD dataset. In: Proceedings of international conference on smart electronics and communication ICOSEC 2020, September, pp 919–924. https://doi.org/10.1109/ICOSEC49089.2020.9215232
4. Bamhdi AM, Abrar I, Masoodi F (2021) An ensemble based approach for effective intrusion detection using majority voting. Telkomnika (Telecommunication Comput Electron Control 19(2):664–671. https://doi.org/10.12928/TELKOMNIKA.v19i2.18325
5. Khraisat A, Gondal I, Vamplew P, Kamruzzaman J (2019) Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1). https://doi.org/10.1186/s42400-019-0038-7
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