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Title: :  Detection of cyber attacks using machine learning
PaperId: :  21132
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21132
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
N Vamshi krishnaDayananda Sagar Academy of Technology and Managment
Manjula Sanajy KotiDayananda Sagar Academy of Technology and Managment

Abstract

Machine learning
intrusion detection, Cgi attacks,smart meters
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.

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IJARIIE N Vamshi krishna, and Manjula Sanajy Koti. "Detection of cyber attacks using machine learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 725-728
MLA N Vamshi krishna, and Manjula Sanajy Koti. "Detection of cyber attacks using machine learning." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 725-728.
APA N Vamshi krishna, & Manjula Sanajy Koti. (2023). Detection of cyber attacks using machine learning. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 725-728.
Chicago N Vamshi krishna, 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.
Oxford 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, 2023, p. 725-728. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detecting__the__cyber_attacks_using_machine_learning_ijariie21132.pdf (Accessed : ).
Harvard N Vamshi krishna, and Manjula Sanajy Koti. (2023) 'Detection of cyber attacks using machine learning', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 725-728IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detecting__the__cyber_attacks_using_machine_learning_ijariie21132.pdf (Accessed : )
IEEE 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, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detecting__the__cyber_attacks_using_machine_learning_ijariie21132.pdf [Accessed : ].
Turabian N Vamshi krishna, and Manjula Sanajy Koti. "Detection of cyber attacks using machine learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver N Vamshi krishna, and Manjula Sanajy Koti. Detection of cyber attacks using machine learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 725-728. Available from: https://ijariie.com/AdminUploadPdf/Detecting__the__cyber_attacks_using_machine_learning_ijariie21132.pdf
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