| Title | An Analysis of Insider Attack Detection Using Machine Learning Algorithms |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Nagabhushana Babu, B, Gunasekaran, M |
| Conference Name | 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) |
| Date Published | dec |
| Keywords | classification, computer security, Data models, Human Behavior, human factors, insider threat, Insider Threat Detection, insider threats, machine learning, machine learning algorithms, Measurement, Metrics, Policy Based Governance, policy-based governance, Predictive models, pubcrawl, resilience, Resiliency, security, Wireless communication |
| Abstract | Among the greatest obstacles in cybersecurity is insider threat, which is a well-known massive issue. This anomaly shows that the vulnerability calls for specialized detection techniques, and resources that can help with the accurate and quick detection of an insider who is harmful. Numerous studies on identifying insider threats and related topics were also conducted to tackle this problem are proposed. Various researches sought to improve the conceptual perception of insider risks. Furthermore, there are numerous drawbacks, including a dearth of actual cases, unfairness in drawing decisions, a lack of self-optimization in learning, which would be a huge concern and is still vague, and the absence of an investigation that focuses on the conceptual, technological, and numerical facets concerning insider threats and identifying insider threats from a wide range of perspectives. The intention of the paper is to afford a thorough exploration of the categories, levels, and methodologies of modern insiders based on machine learning techniques. Further, the approach and evaluation metrics for predictive models based on machine learning are discussed. The paper concludes by outlining the difficulties encountered and offering some suggestions for efficient threat identification using machine learning. |
| DOI | 10.1109/ICMNWC56175.2022.10032009 |
| Citation Key | nagabhushana_babu_analysis_2022 |
An Analysis of Insider Attack Detection Using Machine Learning Algorithms