Analyzing Adaptive Intrusion Detection Systems for Improved Network Security
Analyzing adaptive intrusion detection systems (AIDs) ought to doubtlessly growth network security doubtlessly by imparting businesses with early detection, mitigation, and threat response capabilities. AIDs uses diverse strategies to hit upon malicious conduct, which includes gadget mastering algorithms, signature-based evaluation, and anomaly detection. Moreover, AIDs can take additional action so as to block, quarantine, or alert the perfect events while malicious interest is recognized. This paper examines the modern state of AIDs, its blessings, and disadvantages, and proposes feasible methods to enhance current technology. A dialogue on how device studying can be used to enhance the accuracy of AIDs is blanketed, as well as recommendations for companies while building or deploying a machine. In the end, the paper outlines capability regions of future research that would cause further advances in AIDs and network security.
Authors
- Yuvaraj Natarajan (ORCID: https://orcid.org/0000-0002-0422-8374)
- Arjun Jaggi (ORCID: https://orcid.org/0000-0002-7493-6958)
- Nandan Sharma
- Prashamsh Takkalapally
- Karim Hudani
Institutions
- BC Hydro (Canada) (CA)
- Lewis University (US)
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/icaiccit64383.2024.10912119
- Citations
- 1
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35