Survey of Intrusion Detection Techniques in Cloud Computing

https://doi.org/10.59628/jast.v2i4.970

المؤلفون

  • سعاد محمد عثمان جامعة صنعاء
  • Adnan Yehia Al-mutawkkil Department of Information Technology, Faculty of Computer IT, University of Sana’a, Sana’a, Yemen
  • Amani Mohammed Alnashi Department of Information System, Faculty of Computer & IT, University of Sana’a, Sana’a, Yemen

الكلمات المفتاحية:

Intrusion Detection، Cloud Computing، Secu- rity، Classification، Techniques، Cyber Threats

الملخص

With the continued development of cloud computing environments, security measures have become more im-portant than ever. Intrusion detection systems (IDS) are considered one of the most critical security measures in cloud computing. Researchers aim to find effective technologies for detecting intrusions in cloud computing. This paper presents a comprehensive survey of the techniques used for Intrusion Detection in Cloud Computing and their classification. Specifically, it covers a range of techniques such as machine learning, and provides insights for researchers looking to develop more flexible and effective techniques for intrusion detection in cloud computing.

التنزيلات

بيانات التنزيل غير متوفرة بعد.
Classification of IDS modern techniques in cloud computing.

منشور

2024-09-02

كيفية الاقتباس

عثمان س. م., Al-mutawkkil, A. Y., & Alnashi, A. M. (2024). Survey of Intrusion Detection Techniques in Cloud Computing. مجلة جامعة صنعاء للعلوم التطبيقية والتكنولوجيا, 2(4), 363–374. https://doi.org/10.59628/jast.v2i4.970

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