Algorithm based network intrusion detection system
Abstract & Details
Research Area
Cybersecurity
Keywords
Black lists
NIDS
HIDS
malicious
vulnerabilities
SVM’s
ANN’s
trails
Abstract
As hostile network traffic activities have become more prevalent, the significance of reliable intrusion detection is increasing dramatically. Intrusion Detection Systems offer automatic detection for security violations such as denial of service, malware, port scanning, buffer overflow, CGI attacks, and flooding. Additionally, a thorough analysis of benchmark cybersecurity datasets is provided. This article aims to give readers a roadmap for understanding the approach for intrusion detection system and cyber security. The integration of information and communication technology allow the smart meters to participate in power systems operation in the real-time.[1] However, cyber threats can affect advanced metering infrastructure. cyber intrusions could affect electricity users as well as utilities.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | N Vishal Krishna Bhat | Dayananda Sagar Academy of Technology & Management |
| 2 | Lekhan HY | Dayananda Sagar Academy of Technology & Management |
| 3 | N Pravalika | Dayananda Sagar Academy of Technology & Management |
| 4 | Rakshitha M | Dayananda Sagar Academy of Technology & Management |
| 5 | Dr. Rama Abirami K | Dayananda Sagar Academy of Technology & Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Bhat, N Vishal Krishna, HY, Lekhan, Pravalika, N, M, Rakshitha, & K, Dr. Rama Abirami (2023). Algorithm based network intrusion detection system. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1911-1915.
MLA Style
Bhat, N Vishal Krishna, et al. "Algorithm based network intrusion detection system." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1911-1915.
IEEE Style
N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Dr. Rama Abirami K, "Algorithm based network intrusion detection system," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1911-1915, 2023.
Vancouver Style
Bhat N Vishal Krishna, HY Lekhan, Pravalika N, M Rakshitha, K Dr. Rama Abirami. Algorithm based network intrusion detection system. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1911-1915.
Harvard Style
Bhat, N Vishal Krishna, HY, Lekhan, Pravalika, N, M, Rakshitha, & K, Dr. Rama Abirami (2023) 'Algorithm based network intrusion detection system', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1911-1915.
Chicago Style
Bhat, N Vishal Krishna, et al. "Algorithm based network intrusion detection system." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1911-1915.
Turabian Style
Bhat, N Vishal Krishna, et al. "Algorithm based network intrusion detection system." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1911-1915.
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