Niranjan Reddy Kotha

Abstract

s cyber threats become increasingly sophisticated, the need for robust security mechanisms to protect information systems has never been more critical. Intrusion Detection Systems (IDS) play a pivotal role in identifying and mitigating unauthorized access and malicious activities within networks and systems. This paper provides a comprehensive overview of IDS, exploring their classifications, underlying technologies, and deployment strategies. We examine the evolution of IDS from signature-based methods to advanced machine learning and artificial intelligence-driven approaches. The study also discusses the challenges associated with IDS implementation, including false positives, scalability, and adaptability to emerging threats. Through an analysis of recent case studies, we highlight successful IDS deployments and their impact on organizational security postures. Finally, we propose future research directions aimed at enhancing the effectiveness and efficiency of IDS, emphas