| Title | Fuzzy Logic for Reducing Data Loss during Cyber Intrusion in Smart Grid Wireless Network |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Singh, Neeraj Kumar, Mahajan, Vasundhara |
| Conference Name | 2019 IEEE Student Conference on Research and Development (SCOReD) |
| Keywords | compositionality, cyber intrusion, cyber-attack, data loss, extreme IP, Fuzzy logic, fuzzy logic approach, fuzzy rules, graph theory, graph theory approach wireless communication network, grid power flow, higher degree nodes, human factors, Internet Protocol (IP), Internet Protocol address, IP networks, nearby nodes, power engineering computing, power system security, pubcrawl, radio networks, Resiliency, security of data, smart devices, Smart grid, smart grid communication network, Smart Grid Sensors, smart grid wireless network, smart power grids, Smart Sensor, WCN, Wireless Communication Network (WCN) |
| Abstract | 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. |
| DOI | 10.1109/SCORED.2019.8896269 |
| Citation Key | singh_fuzzy_2019 |
Fuzzy Logic for Reducing Data Loss during Cyber Intrusion in Smart Grid Wireless Network