A Systematic Literature Review of Intrusion Detection System in Network Security

In the rapidly evolving information technology landscape, network attacks are becoming more sophisticated and pose significant threats. Intrusion Detection Systems (IDS) have emerged as crucial tools for mitigating network security risks. Despite the vast amount of research on IDS methods, there still remains a gap in comprehensive literature reviews that cover recent developments in techniques, datasets, and tools. This study conducted a comprehensive systematic literature review to address this gap, analyzing 67 selected articles. The review covered various aspects, including IDS research domains, techniques/methods, datasets, and simulators. By synthesizing the findings, the study provides valuable insights into the current state of IDS research and identifies future challenges and unexplored areas. This review sheds light on the strengths and limitations of existing IDS techniques and datasets, offering researchers and practitioners a holistic understanding of the field. The identified research gaps and unexplored topics will guide future research endeavors, leading to advancements in IDS techniques and bolstering network security.