Detection of cyber attacks using machine learning
Abstract & Details
Research Area
Machine learning
Keywords
intrusion detection
Cgi attacks
smart meters
Abstract
The prevalence of hostile network traffic activities has considerably increased them need for precise intrusion
detection. Intrusion detection systems can automatically identifysecurity violations such denial of service attacks,
malware, port scanning, buffer overflows,CGI attacks, and flooding. Also provided is a thorough analysis of
benchmark cybersecurity datasets. This essay's objective is to give readers a road map for understanding the
approach used by intrusion detection systems and cyber security. Information and communication technology
integration enables smart metres to participate in real-time in the operation of electricity systems.[1] However,
cyber dangers might have an effect on contemporary metering infrastructure. Cyber intrusions could have an effect
on both utilities and power users.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | N Vamshi krishna | Dayananda Sagar Academy of Technology and Managment |
| 2 | Manjula Sanajy Koti | Dayananda Sagar Academy of Technology and Managment |
How to Cite
Use the following formats to cite this article in your research.
APA Style
krishna, N Vamshi & Koti, Manjula Sanajy (2023). Detection of cyber attacks using machine learning. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 725-728.
MLA Style
krishna, N Vamshi, and Manjula Sanajy Koti. "Detection of cyber attacks using machine learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 725-728.
IEEE Style
N Vamshi krishna and Manjula Sanajy Koti, "Detection of cyber attacks using machine learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 725-728, 2023.
Vancouver Style
krishna N Vamshi, Koti Manjula Sanajy. Detection of cyber attacks using machine learning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):725-728.
Harvard Style
krishna, N Vamshi & Koti, Manjula Sanajy (2023) 'Detection of cyber attacks using machine learning', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 725-728.
Chicago Style
krishna, N Vamshi and Manjula Sanajy Koti. "Detection of cyber attacks using machine learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 725-728.
Turabian Style
krishna, N Vamshi and Manjula Sanajy Koti. "Detection of cyber attacks using machine learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 725-728.
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