Anomaly Detection in Smart Grids based on Software Defined Networks

Network Security Challenges and Countermeasures for Software-Defined Smart Grids: A Survey

“…In [98], the authors assert that Entropy-based Anomaly Detection methods that make use of feature distributions of the network have been successful in detecting DoS attacks. On this account, they propose the Shannon Entropy to identify anomalies in the communication network of an SG using SDN traffic feature distributions like source Internet Protocol (IP) address and destination IP address.…”

A Collaborative Software Defined Network-Based Smart Grid Intrusion Detection System

“…The global IDS in the control center collects data from substations to monitor and detect any suspicious activities or issues in the Smart Grid. Jung et al [22] introduced an entropy-based anomaly detection system. High entropy signifies scattered patterns, while low entropy indicates concentrated distributions, making it possible to detect Distributed Denial of Service (DoS) attacks that reduce entropy.…”

Secure Software-Defined Networking Communication Systems for Smart Cities: Current Status, Challenges, and Trends

“…While SDN technology offers new opportunities to improve reliability in the underlying communication networks of smart grids (i.e., by enabling new mechanisms for detecting and preventing attacks against smart grids [27], it also augments the vulnerability surface and current standards do not solve authorization and authentication issues [133]. Namely, the allowance of new network applications augments system complexity, and thus, it becomes challenging to highlight applications responsible for flow entries' modification.…”

“…Smart City Application Details Irfan et al [118] Smart grid communication Propose an SDN/LTE-based architecture for smart city grid security Ghosh et al [124] Security framework Propose a security framework for SDN-enabled smart grids Chaudhar et al [125] Smart grid communication Propose an SDN-based framework to secure multi-attribute communication in IoT and smart grid environment Gonzalez et al [126] Security framework Propose an SDN-based security framework for smart grid-enabled IoT Chaudhary et al [70] Security framework Propose an SDN-based multi-attribute security framework for IoTenabled smart grids LACSYS [127] Cryptosystem Propose an SDN-enabled lattice-based cryptosystem for securing smart grid communication NLES [77] Safety extension Propose a safety extension for crtitical cyber-physical systems using SDN MiniCPS [128] CPS networks Propose a toolkit for SDN-based CPS networks security research assessment Zaballos et al [129] SDU Propose an approach for a reliable SDU based on SDN Maziku and Shetty [130] Substations communication Propose a resilient SDN-based solution for smart substation communication system SSDS [131] V2G communication Propose a smart software-defined security mechanism for V2G using transfer learning Rehmani et al [132] Smart grid communication Propose a multi-armed bandit approach by leveraging SDN capabilities to enhance smart grid resilience Jung et al [133] Smart grid networks Investigate implications of SDN-collected information on anomaly detection in smart grid networks Aydeger et al [134] Smart grid teleprotection Propose an SDN-based recovery solution for smart grid teleprotection applications of disaster handling Liu et al [135] Smart grid network Propose an SDN-defined survivability-aware routing restoration solution for large scale failures in smart grid networks Von et al [136] Smart grid controller Propose an SDN-based solution to enhance reliability of the controller by reducing power equipment redundancy Zhao et al [137] SCADA Systems Propose an SDN mechanism to identify security threats in SCADA design using a vulnerability pattern database gies, such as radio frequency identification, WSN, and M2M communication, have significantly shared in IoT's evolution [146].…”