Cyber Attack Detection in Scada in Smart Grid using Autoencoder and Incremental Learning

Registration ID: IJNRD_184865

Published ID: IJNRD2212137

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Krishna Singh, Vishwajeet Singh, Gulshan Kumar , Tanam Gupta

Autoencoder,Incremental learning,cyber attack in Scada

Since the onset of the 21 century, there has been a constant focus on integrating technology with the traditional power infrastructure, aiming at making the power infrastructure more efficient, resilient and intelligent. This resulted in the development of the Cyber-Physical Power System (CPPS). These systems used advanced technologies to eliminate major problems existing in the previous model and hence provided better observability of the whole system. They ultimately resulted in better efficiency compared to the traditional system. But this reliance on modern systems on digital technologies also makes it prone to cyber attacks: offensive maneuvers to breach the information infrastructure. As the system's reliance on computers and digital components grew, the system became progressively vulnerable to these attacks. In this paper, we aim to predict these attacks beforehand. One such attack is the DDOS attack. DDOS is a malicious attempt to disrupt the normal traffic of a targeted server, service, or network by overwhelming the target or its surrounding infrastructure with a flood of internet traffic. These attacks breach the security of the power system and cause detrimental damage to the system and also disturb the normal working of activities dependent on the system.

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Krishna Singh, Vishwajeet Singh, Gulshan Kumar , & Tanam Gupta (December-2022). Cyber Attack Detection in Scada in Smart Grid using Autoencoder and Incremental Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), b352-b358. https://ijnrd.org/papers/IJNRD2212137.pdf

Volume 7 Issue 12, December-2022

Pages : b352-b358

Paper Reg. ID: IJNRD_184865

Published Paper Id: IJNRD2212137

Downloads: 000121993

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Lucknow, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212137.pdf

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