Biblio
Filters: Author is Mahajan, Vasundhara [Clear All Filters]
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2020. Monitoring of Cyber Intrusion in Wireless Smart Grid Network Using Weight Reduction Technique. 2020 International Conference on Electrical and Electronics Engineering (ICE3). :136–139.
The dependency of the smart grid is higher in terms of Wireless Sensors (WS) for flexible monitoring and control. Sensor nodes are required to sense, collect and process the real-time data and transfer it to the monitoring stations. Mostly, it is deployed in extremely rural areas where human access is limited making it vulnerable to cyber intrusion. In this paper, an easy, efficient and low memory usage program is proposed to detect False Data Injection Cyber Attack (FDICA) in very little time to protect the smart grid network. Each bus of the IEEE test system is represented by a connected graph node having a weight equal to 1. During FDICA the weight of the node changes and triggers the alarm if the change is below the predefined threshold value. MATLAB software is used to evaluate the performance of the proposed method under different conditions. Simulation results indicate that the proposed method detects the FDICA in minimal time increasing the resilience capability of the smart grid.
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2019. Fuzzy Logic for Reducing Data Loss during Cyber Intrusion in Smart Grid Wireless Network. 2019 IEEE Student Conference on Research and Development (SCOReD). :192–197.
Smart grid consists of smart devices to control, record and analyze the grid power flow. All these devices belong to the latest technology, which is used to interact through the wireless network making the grid communication network vulnerable to cyber attack. This paper deals with a novel approach using altering the Internet Protocol (IP) address of the smart grid communication network using fuzzy logic according to the degree of node. Through graph theory approach Wireless Communication Network (WCN) is designed by considering each node of the system as a smart sensor. In this each node communicates with other nearby nodes for exchange of data. Whenever there is cyber intrusion the WCN change its IP using proposed fuzzy rules, where higher degree nodes are given the preference to change first with extreme IP available in the system. Using the proposed algorithm, different IEEE test systems are simulated and compared with existing Dynamic Host Configuration Protocol (DHCP). The fuzzy logic approach reduces the data loss and improves the system response time.