Intrusion Detection and Prevention: -Network Security in Cloud

Abstract

The growing adoption of cloud computing has introduced heightened vulnerabilities to cyber-attacks. Network Intrusion Detection Systems (NIDS) are pivotal in safeguarding cloud computing environments. However, the dynamic and distributed nature of cloud computing imposes challenges on traditional NIDS. This study examines the state of NIDS in cloud computing, their limitations, and potential improvements through machine learning and artificial intelligence. Ensuring NIDS can effectively detect both known and unknown threats is essential for cloud security, warranting ongoing research and innovation.