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The increasing use of cloud computing has also resulted in a higher vulnerability to cyber attacks. Network Intrusion Detection Systems (NIDS) play a vital role in protecting cloud computing environments from these attacks. However, the unique characteristics of cloud computing, such as its dynamic and distributed nature, pose challenges for traditional NIDS. This paper provides an overview of the current state of NIDS in cloud computing environments, including their limitations and potential solutions. It also discusses the use of machine learning and artificial intelligence techniques in improving NIDS performance. The effectiveness of NIDS in detecting both known and unknown attacks is crucial for the security of cloud computing environments and requires continuous research and development.
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Sreeramulu et al. (2024) studied this question.
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