Artificial immune system-based intrusion detection in a distributed hierarchical network architecture of smart grid
Author(s):
Dr. K. V. Rukmani, Lt. Dr. D. Antony Arul Raj, N.Mohammed Hisaan, Isaiyazhini, J.Harish, S.Sanjay
Keywords:
Bio inspired computing, Artificial Immune System (AIS), Wide Area Network (WAN), Analyzing Module (AM), Distributed Intrusion Detection System (DIDS), Malicious data detection.
Abstract
The article titled "Artificial immune system based intrusion detection in a distributed hierarchical network architecture of smart grid" addresses the emerging challenges posed by cyber security threats to smart grids. With the integration of Internet-like communication networks into the traditional power grid infrastructure, smart grids become susceptible to various cyber attacks. To mitigate these risks, the authors propose a Distributed Intrusion Detection System for Smart Grids (SGDIDS) by deploying an intelligent module known as the Analyzing Module (AM) across different layers of the smart grid architecture. These layers include the home area network (HAN), neighbourhood area network (NAN), and the Wide Area Network (WAN). The AMs at each level utilize Artificial Immune System (AIS) techniques to detect and classify malicious data and potential cyber attacks. By training AMs with relevant data specific to their respective layers and enabling inter-level communication, the system enhances its capability to identify and respond to cyber threats effectively. Simulation results demonstrate the efficacy of this approach in identifying malicious network traffic, thereby bolstering the security of smart grid systems. The proposed SGDIDS presents a promising methodology for enhancing system security in smart grids, thus contributing to the realization of intelligent, efficient, and optimal power grid management. This work underscores the importance of proactive measures to safeguard critical infrastructure like smart grids against cyber threats, ensuring the reliability and resilience of the modern power grid ecosystem.
Article Details
Unique Paper ID: 163078

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 940 - 948
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers