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Title: :  AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES
PaperId: :  18072
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 4 2022
DUI:    16.0415/IJARIIE-18072
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
VINISHA.S.SST.XAVIER'S CATHOLIC COLLEGE OF ENGINEERING,CHUNKANKADAI
G.JOHNCYST.XAVIER'S CATHOLIC COLLEGE OF ENGINEERING,CHUNKANKADAI

Abstract

COMPUTER ENGINEERING
Smart grid, Machine Learning, Network Attack, XGBoost Algorithm.
A new generation of technology has evolved which allows for the transmission of data between a utility company and its customers in real-time through new technologies such as Advanced Metering Infrastructure. The security and privacy of smart grid systems, which combine smart and legacy information and operational technologies, have grown in concern. We propose an information attack detection model for the smart grid based on XGBoost. It uses a modified k-means-smote oversampling method to obtain a balanced power data set, which solves the problem of data imbalance causing high false-positive rates in network attack detection. On the basis of oversampling data, feature selection is performed to reduce the dimension of the data. This will shorten the model training time, and accelerate the response speed of the network attack detection model. Finally, construct an XGBoost classifier model to identify several network attack modes in the data set. The paper studies machine learning models and proves that the network attack detection model improves the detection accuracy of smart grid information attacks significantly.

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IJARIIE VINISHA.S.S, and G.JOHNCY. "AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 4 2022 Page 2328-2335
MLA VINISHA.S.S, and G.JOHNCY. "AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 8.4(2022) : 2328-2335.
APA VINISHA.S.S, & G.JOHNCY. (2022). AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 8(4), 2328-2335.
Chicago VINISHA.S.S, and G.JOHNCY. "AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 4 (2022) : 2328-2335.
Oxford VINISHA.S.S, and G.JOHNCY. 'AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 4, 2022, p. 2328-2335. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AN_EFFIECIENT_CYBER_ATTACK_DETECTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie18072.pdf (Accessed : ).
Harvard VINISHA.S.S, and G.JOHNCY. (2022) 'AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 8(4), pp. 2328-2335IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AN_EFFIECIENT_CYBER_ATTACK_DETECTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie18072.pdf (Accessed : )
IEEE VINISHA.S.S, and G.JOHNCY, "AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 4, pp. 2328-2335, Jul-Aug 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/AN_EFFIECIENT_CYBER_ATTACK_DETECTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie18072.pdf [Accessed : ].
Turabian VINISHA.S.S, and G.JOHNCY. "AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 4 ().
Vancouver VINISHA.S.S, and G.JOHNCY. AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(4) : 2328-2335. Available from: https://ijariie.com/AdminUploadPdf/AN_EFFIECIENT_CYBER_ATTACK_DETECTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie18072.pdf
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