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2020-03-16
Ren, Wenyu, Yu, Tuo, Yardley, Timothy, Nahrstedt, Klara.  2019.  CAPTAR: Causal-Polytree-based Anomaly Reasoning for SCADA Networks. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). :1–7.
The Supervisory Control and Data Acquisition (SCADA) system is the most commonly used industrial control system but is subject to a wide range of serious threats. Intrusion detection systems are deployed to promote the security of SCADA systems, but they continuously generate tremendous number of alerts without further comprehending them. There is a need for an efficient system to correlate alerts and discover attack strategies to provide explainable situational awareness to SCADA operators. In this paper, we present a causal-polytree-based anomaly reasoning framework for SCADA networks, named CAPTAR. CAPTAR takes the meta-alerts from our previous anomaly detection framework EDMAND, correlates the them using a naive Bayes classifier, and matches them to predefined causal polytrees. Utilizing Bayesian inference on the causal polytrees, CAPTAR can produces a high-level view of the security state of the protected SCADA network. Experiments on a prototype of CAPTAR proves its anomaly reasoning ability and its capabilities of satisfying the real-time reasoning requirement.
Radoglou-Grammatikis, Panagiotis, Sarigiannidis, Panagiotis, Giannoulakis, Ioannis, Kafetzakis, Emmanouil, Panaousis, Emmanouil.  2019.  Attacking IEC-60870-5-104 SCADA Systems. 2019 IEEE World Congress on Services (SERVICES). 2642-939X:41–46.
The rapid evolution of the Information and Communications Technology (ICT) services transforms the conventional electrical grid into a new paradigm called Smart Grid (SG). Even though SG brings significant improvements, such as increased reliability and better energy management, it also introduces multiple security challenges. One of the main reasons for this is that SG combines a wide range of heterogeneous technologies, including Internet of Things (IoT) devices as well as Supervisory Control and Data Acquisition (SCADA) systems. The latter are responsible for monitoring and controlling the automatic procedures of energy transmission and distribution. Nevertheless, the presence of these systems introduces multiple vulnerabilities because their protocols do not implement essential security mechanisms such as authentication and access control. In this paper, we focus our attention on the security issues of the IEC 60870-5-104 (IEC-104) protocol, which is widely utilized in the European energy sector. In particular, we provide a SCADA threat model based on a Coloured Petri Net (CPN) and emulate four different types of cyber attacks against IEC-104. Last, we used AlienVault's risk assessment model to evaluate the risk level that each of these cyber attacks introduces to our system to confirm our intuition about their severity.
Eneh, Joy Nnenna, Onyekachi Orah, Harris, Emeka, Aka Benneth.  2019.  Improving the Reliability and Security of Active Distribution Networks Using SCADA Systems. 2019 IEEE PES/IAS PowerAfrica. :110–115.
The traditional electricity distribution system is rapidly shifting from the passive infrastructure to a more active infrastructure, giving rise to a smart grid. In this project an active electricity distribution network and its components have been studied. A 14-node SCADA-based active distribution network model has been proposed for managing this emerging network infrastructure to ensure reliability and protection of the network The proposed model was developed using matlab /simulink software and the fuzzy logic toolbox. Surge arresters and circuit breakers were modelled and deployed in the network at different locations for protection and isolation of fault conditions. From the reliability analysis of the proposed model, the failure rate and outage hours were reduced due to better response of the system to power fluctuations and fault conditions.
2020-03-09
Xie, Yuanpeng, Jiang, Yixin, Liao, Runfa, Wen, Hong, Meng, Jiaxiao, Guo, Xiaobin, Xu, Aidong, Guan, Zewu.  2015.  User Privacy Protection for Cloud Computing Based Smart Grid. 2015 IEEE/CIC International Conference on Communications in China - Workshops (CIC/ICCC). :7–11.

The smart grid aims to improve the efficiency, reliability and safety of the electric system via modern communication system, it's necessary to utilize cloud computing to process and store the data. In fact, it's a promising paradigm to integrate smart grid into cloud computing. However, access to cloud computing system also brings data security issues. This paper focuses on the protection of user privacy in smart meter system based on data combination privacy and trusted third party. The paper demonstrates the security issues for smart grid communication system and cloud computing respectively, and illustrates the security issues for the integration. And we introduce data chunk storage and chunk relationship confusion to protect user privacy. We also propose a chunk information list system for inserting and searching data.

Salehie, Mazeiar, Pasquale, Liliana, Omoronyia, Inah, Nuseibeh, Bashar.  2012.  Adaptive Security and Privacy in Smart Grids: A Software Engineering Vision. 2012 First International Workshop on Software Engineering Challenges for the Smart Grid (SE-SmartGrids). :46–49.

Despite the benefits offered by smart grids, energy producers, distributors and consumers are increasingly concerned about possible security and privacy threats. These threats typically manifest themselves at runtime as new usage scenarios arise and vulnerabilities are discovered. Adaptive security and privacy promise to address these threats by increasing awareness and automating prevention, detection and recovery from security and privacy requirements' failures at runtime by re-configuring system controls and perhaps even changing requirements. This paper discusses the need for adaptive security and privacy in smart grids by presenting some motivating scenarios. We then outline some research issues that arise in engineering adaptive security. We particularly scrutinize published reports by NIST on smart grid security and privacy as the basis for our discussions.

Ionescu, Tudor B., Engelbrecht, Gerhard.  2016.  The Privacy Case: Matching Privacy-Protection Goals to Human and Organizational Privacy Concerns. 2016 Joint Workshop on Cyber- Physical Security and Resilience in Smart Grids (CPSR-SG). :1–6.

Processing smart grid data for analytics purposes brings about a series of privacy-related risks. In order to allow for the most suitable mitigation strategies, reasonable privacy risks need to be addressed by taking into consideration the perspective of each smart grid stakeholder separately. In this context, we use the notion of privacy concerns to reflect potential privacy risks from the perspective of different smart grid stakeholders. Privacy concerns help to derive privacy goals, which we represent using the goals structuring notation. Thus represented goals can more comprehensibly be addressed through technical and non-technical strategies and solutions. The thread of argumentation - from concerns to goals to strategies and solutions - is presented in form of a privacy case, which is analogous to the safety case used in the automotive domain. We provide an exemplar privacy case for the smart grid developed as part of the Aspern Smart City Research project.

Fhom, Hervais Simo, Bayarou, Kpatcha M..  2011.  Towards a Holistic Privacy Engineering Approach for Smart Grid Systems. 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications. :234–241.

Protecting energy consumers's data and privacy is a key factor for the further adoption and diffusion of smart grid technologies and applications. However, current smart grid initiatives and implementations around the globe tend to either focus on the need for technical security to the detriment of privacy or consider privacy as a feature to add after system design. This paper aims to contribute towards filling the gap between this fact and the accepted wisdom that privacy concerns should be addressed as early as possible (preferably when modeling system's requirements). We present a methodological framework for tackling privacy concerns throughout all phases of the smart grid system development process. We describe methods and guiding principles to help smart grid engineers to elicit and analyze privacy threats and requirements from the outset of the system development, and derive the best suitable countermeasures, i.e. privacy enhancing technologies (PETs), accordingly. The paper also provides a summary of modern PETs, and discusses their context of use and contributions with respect to the underlying privacy engineering challenges and the smart grid setting being considered.

2020-03-02
Zhang, Yihan, Wu, Jiajing, Chen, Zhenhao, Huang, Yuxuan, Zheng, Zibin.  2019.  Sequential Node/Link Recovery Strategy of Power Grids Based on Q-Learning Approach. 2019 IEEE International Symposium on Circuits and Systems (ISCAS). :1–5.

Cascading failure, which can be triggered by both physical and cyber attacks, is among the most critical threats to the security and resilience of power grids. In current literature, researchers investigate the issue of cascading failure on smart grids mainly from the attacker's perspective. From the perspective of a grid defender or operator, however, it is also an important issue to restore the smart grid suffering from cascading failure back to normal operation as soon as possible. In this paper, we consider cascading failure in conjunction with the restoration process involving repairing of the failed nodes/links in a sequential fashion. Based on a realistic power flow cascading failure model, we exploit a Q-learning approach to develop a practical and effective policy to identify the optimal way of sequential restorations for large-scale smart grids. Simulation results on three power grid test benchmarks demonstrate the learning ability and the effectiveness of the proposed strategy.

Wang, Meng, Chow, Joe H., Hao, Yingshuai, Zhang, Shuai, Li, Wenting, Wang, Ren, Gao, Pengzhi, Lackner, Christopher, Farantatos, Evangelos, Patel, Mahendra.  2019.  A Low-Rank Framework of PMU Data Recovery and Event Identification. 2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA). :1–9.

The large amounts of synchrophasor data obtained by Phasor Measurement Units (PMUs) provide dynamic visibility into power systems. Extracting reliable information from the data can enhance power system situational awareness. The data quality often suffers from data losses, bad data, and cyber data attacks. Data privacy is also an increasing concern. In this paper, we discuss our recently proposed framework of data recovery, error correction, data privacy enhancement, and event identification methods by exploiting the intrinsic low-dimensional structures in the high-dimensional spatial-temporal blocks of PMU data. Our data-driven approaches are computationally efficient with provable analytical guarantees. The data recovery method can recover the ground-truth data even if simultaneous and consecutive data losses and errors happen across all PMU channels for some time. We can identify PMU channels that are under false data injection attacks by locating abnormal dynamics in the data. The data recovery method for the operator can extract the information accurately by collectively processing the privacy-preserving data from many PMUs. A cyber intruder with access to partial measurements cannot recover the data correctly even using the same approach. A real-time event identification method is also proposed, based on the new idea of characterizing an event by the low-dimensional subspace spanned by the dominant singular vectors of the data matrix.

Sahu, Abhijeet, Huang, Hao, Davis, Katherine, Zonouz, Saman.  2019.  SCORE: A Security-Oriented Cyber-Physical Optimal Response Engine. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). :1–6.

Automatic optimal response systems are essential for preserving power system resilience and ensuring faster recovery from emergency under cyber compromise. Numerous research works have developed such response engine for cyber and physical system recovery separately. In this paper, we propose a novel cyber-physical decision support system, SCORE, that computes optimal actions considering pure and hybrid cyber-physical states, using Markov Decision Process (MDP). Such an automatic decision making engine can assist power system operators and network administrators to make a faster response to prevent cascading failures and attack escalation respectively. The hybrid nature of the engine makes the reward and state transition model of the MDP unique. Value iteration and policy iteration techniques are used to compute the optimal actions. Tests are performed on three and five substation power systems to recover from attacks that compromise relays to cause transmission line overflow. The paper also analyses the impact of reward and state transition model on computation. Corresponding results verify the efficacy of the proposed engine.

Zheng, Zhengfan, Zheng, Bo, Wu, Yuechao, Chen, Shangui.  2019.  An Integrated Safety Management System Based on Ubiquitous Internet of Things in Electricity for Smart Pumped-storage Power Stations. 2019 4th International Conference on Intelligent Green Building and Smart Grid (IGBSG). :548–551.
The safety management is an important and fundamental task in the construction and operation of pumped-storage power stations. However, because of the traditional technical framework, the relevant systems are separated from each other, leading to a lot of disadvantages in application and performance. In order to meet the requirements of smart pumped-storage power stations, an integrated safety management system (ISMS) based on ubiquitous internet of things in electricity is proposed in this paper. The ISMS is divided into five layers including data display layer, data manipulation layer, data processing layer, data transmission layer and data acquisition layer. It consists of six modules, i.e., central control module, cave access control and personnel location module, video and security monitoring module, emergency broadcasting and communication module, geological warning module, and fall protection module. All modules are integrated into a unified information platform.
2020-02-24
Song, Juncai, Zhao, Jiwen, Dong, Fei, Zhao, Jing, Xu, Liang, Wang, Lijun, Xie, Fang.  2019.  Demagnetization Modeling Research for Permanent Magnet in PMSLM Using Extreme Learning Machine. 2019 IEEE International Electric Machines Drives Conference (IEMDC). :1757–1761.
This paper investigates the temperature demagnetization modeling method for permanent magnets (PM) in permanent magnet synchronous linear motor (PMSLM). First, the PM characteristics are presented, and finite element analysis (FEA) is conducted to show the magnetic distribution under different temperatures. Second, demagnetization degrees and remanence of the five PMs' experiment sample are actually measured in stove at temperatures varying from room temperature to 300 °C, and to obtain the real data for next-step modeling. Third, machine learning algorithm called extreme learning machine (ELM) is introduced to map the nonlinear relationships between temperature and demagnetization characteristics of PM and build the demagnetization models. Finally, comparison experiments between linear modeling method, polynomial modeling method, and ELM can certify the effectiveness and advancement of this proposed method.
2020-02-18
Lin, Gengshen, Dong, Mianxiong, Ota, Kaoru, Li, Jianhua, Yang, Wu, Wu, Jun.  2019.  Security Function Virtualization Based Moving Target Defense of SDN-Enabled Smart Grid. ICC 2019 - 2019 IEEE International Conference on Communications (ICC). :1–6.

Software-defined networking (SDN) allows the smart grid to be centrally controlled and managed by decoupling the control plane from the data plane, but it also expands attack surface for attackers. Existing studies about the security of SDN-enabled smart grid (SDSG) mainly focused on static methods such as access control and identity authentication, which is vulnerable to attackers that carefully probe the system. As the attacks become more variable and complex, there is an urgent need for dynamic defense methods. In this paper, we propose a security function virtualization (SFV) based moving target defense of SDSG which makes the attack surface constantly changing. First, we design a dynamic defense mechanism by migrating virtual security function (VSF) instances as the traffic state changes. The centralized SDN controller is re-designed for global status monitoring and migration management. Moreover, we formalize the VSF instances migration problem as an integer nonlinear programming problem with multiple constraints and design a pre-migration algorithm to prevent VSF instances' resources from being exhausted. Simulation results indicate the feasibility of the proposed scheme.

2020-02-17
Zhao, Guowei, Zhao, Rui, Wang, Qiang, Xue, Hui, Luo, Fang.  2019.  Virtual Network Mapping Algorithm for Self-Healing of Distribution Network. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :1442–1445.
This paper focuses on how to provide virtual network (VN) with the survivability of node failure. In the SVNE that responds to node failures, the backup mechanism provided by the VN initial mapping method should be as flexible as possible, so that backup resources can be shared among the VNs, thereby providing survivability support for the most VNs with the least backup overhead, which can improve The utilization of backup resources can also improve the survivability of VN to deal with multi-node failures. For the remapping method of virtual networks, it needs to be higher because it involves both remapping of virtual nodes and remapping of related virtual links. The remapping efficiency, so as to restore the affected VN to a normal state as soon as possible, to avoid affecting the user's business experience. Considering that the SVNE method that actively responds to node failures always has a certain degree of backup resource-specific phenomenon, this section provides a SVNE method that passively responds to node failures. This paper mainly introduces the survivability virtual network initial mapping method based on physical node recoverability in this method.
Liu, Xiaobao, Wu, Qinfang, Sun, Jinhua, Xu, Xia, Wen, Yifan.  2019.  Research on Self-Healing Technology for Faults of Intelligent Distribution Network Communication System. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :1404–1408.
The intelligent power communication network is closely connected with the power system, and carries the data transmission and intelligent decision in a series of key services in the power system, which is an important guarantee for the smart power service. The self-healing control (SHC) of the distribution network monitors the data of each device and node in the distribution network in real time, simulates and analyzes the data, and predicts the hidden dangers in the normal operation of the distribution network. Control, control strategies such as correcting recovery and troubleshooting when abnormal or fault conditions occur, reducing human intervention, enabling the distribution network to change from abnormal operating state to normal operating state in time, preventing event expansion and reducing the impact of faults on the grid and users.
Guo, Qingrui, Xie, Peng, Li, Feng, Guo, Xuerang, Li, Yutao, Ma, Lin.  2019.  Research on Linkage Model of Network Resource Survey and Vulnerability Detection in Power Information System. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :1068–1071.
this paper first analyses the new challenges of power information network management, difficulties of the power information network resource survey and vulnerability detection are proposed. Then, a linkage model of network resource survey and vulnerability detection is designed, and the framework of three modules in the model is described, meanwhile the process of network resources survey and vulnerability detection linkage is proposed. Finally, the implementation technologies are given corresponding to the main functions of each module.
Moquin, S. J., Kim, SangYun, Blair, Nicholas, Farnell, Chris, Di, Jia, Mantooth, H. Alan.  2019.  Enhanced Uptime and Firmware Cybersecurity for Grid-Connected Power Electronics. 2019 IEEE CyberPELS (CyberPELS). :1–6.
A distributed energy resource prototype is used to show cybersecurity best practices. These best practices include straightforward security techniques, such as encrypted serial communication. The best practices include more sophisticated security techniques, such as a method to evaluate and respond to firmware integrity at run-time. The prototype uses embedded Linux, a hardware-assisted monitor, one or more digital signal processors, and grid-connected power electronics. Security features to protect communication, firmware, power flow, and hardware are developed. The firmware run-time integrity security is presently evaluated, and shown to maintain power electronics uptime during firmware updating. The firmware run-time security feature can be extended to allow software rejuvenation, multi-mission controls, and greater flexibility and security in controls.
Pérez García, Julio César, Ortiz Guerra, Erik, Barriquello, Carlos Henrique, Dalla Costa, Marco Antônio, Reguera, Vitalio Alfonso.  2019.  Faster-Than-Nyquist Signaling for Physical Layer Security on Wireless Smart Grid. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). :1–6.
Wireless networks offer great flexibility and ease of deployment for the rapid implementation of smart grids. However, these data network technologies are prone to security issues. Especially, the risk of eavesdropping attacks increases due to the inherent characteristics of the wireless medium. In this context, physical layer security can augment secrecy through appropriate coding and signal processing. In this paper we consider the use of faster-than-Nyquist signaling to introduce artificial noise in the wireless network segment of the smart grid; with the aim of reinforce the information security at the physical layer. The results show that the proposed scheme can significantly improves the secrecy rate of the channel. Guaranteeing, in coexistence with other security mechanisms and despite the presence of potential eavesdroppers, a reliable and secure flow of information for smart grids.
Ionita, Drd. Irene.  2019.  Cybersecurity concerns on real time monitoring in electrical transmission and distribution systems (SMART GRIDS). 2019 54th International Universities Power Engineering Conference (UPEC). :1–4.
The virtual world does not observe national borders, has no uniform legal system, and does not have a common perception of security and privacy issues. It is however, relatively homogenous in terms of technology.A cyberattack on an energy delivery system can have significant impacts on the availability of a system to perform critical functions as well as the integrity of the system and the confidentiality of sensitive information.
Hiller, Jens, Komanns, Karsten, Dahlmanns, Markus, Wehrle, Klaus.  2019.  Regaining Insight and Control on SMGW-based Secure Communication in Smart Grids. 2019 AEIT International Annual Conference (AEIT). :1–6.
Smart Grids require extensive communication to enable safe and stable energy supply in the age of decentralized and dynamic energy production and consumption. To protect the communication in this critical infrastructure, public authorities mandate smart meter gateways (SMGWs) to be in control of the communication security. To this end, the SMGW intercepts all inbound and outbound communication of its premise, e.g., a factory or smart home, and forwards it on secure channels that the SMGW established itself. However, using the SMGW as proxy, local devices can neither review the security of these remote connections established by the SMGW nor enforce higher security guarantees than established by the all in one configuration of the SMGW which does not allow for use case-specific security settings. We present mechanisms that enable local devices to regain this insight and control over the full connection, i.e., up to the final receiver, while retaining the SMGW's ability to ensure a suitable security level. Our evaluation shows modest computation and transmission overheads for this increased security in the critical smart grid infrastructure.
Liu, Donglan, Liu, Xin, Zhang, Hao, Yu, Hao, Wang, Wenting, Ma, Lei, Chen, Jianfei, Li, Dong.  2019.  Research on End-to-End Security Authentication Protocol of NB-IoT for Smart Grid Based on Physical Unclonable Function. 2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN). :239–244.
As a national strategic hot spot, the Internet of Things (IoT) has shown its vigor and vitality. With the development of IoT, its application in power grid is more and more extensive. As an advanced technology for information sensing and transmission, IoT has been applied extensively in power generation, transmission, transformation, distribution, utilization and other processes, and will develop with broad prospect in smart grid. Narrow Band Internet of Things (NB-IoT) is of broad application prospects in production management, life-cycle asset management and smart power utilization of smart grid. Its characteristics and security demands of application domain present a challenge for the security of electric power business. However, current protocols either need dual authentication and key agreements, or have poor compatibility with current network architecture. In order to improve the high security of power network data transmission, an end-to-end security authentication protocol of NB-IoT for smart grid based on physical unclonable function and state secret algorithm SM3 is proposed in this paper. A self-controllable NB-IoT application layer security architecture was designed by introducing the domestic cryptographic algorithm, extending the existing key derivation structure of LTE, and combining the physical unclonable function to ensure the generation of encryption keys between NB-IoT terminals and power grid business platforms. The protocol of this paper realizes secure data transmission and bidirectional identity authentication between IoT devices and terminals. It is of low communication costs, lightweight and flexible key update. In addition, the protocol also supports terminal authentication during key agreement, which furtherly enhances the security of business systems in smart grid.
Ying, Huan, Ouyang, Xuan, Miao, Siwei, Cheng, Yushi.  2019.  Power Message Generation in Smart Grid via Generative Adversarial Network. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :790–793.
As the next generation of the power system, smart grid develops towards automated and intellectualized. Along with the benefits brought by smart grids, e.g., improved energy conversion rate, power utilization rate, and power supply quality, are the security challenges. One of the most important issues in smart grids is to ensure reliable communication between the secondary equipment. The state-of-art method to ensure smart grid security is to detect cyber attacks by deep learning. However, due to the small number of negative samples, the performance of the detection system is limited. In this paper, we propose a novel approach that utilizes the Generative Adversarial Network (GAN) to generate abundant negative samples, which helps to improve the performance of the state-of-art detection system. The evaluation results demonstrate that the proposed method can effectively improve the performance of the detection system by 4%.
Al-Eryani, Yasser, Baroudi, Uthman.  2019.  An Investigation on Detecting Bad Data Injection Attack in Smart Grid. 2019 International Conference on Computer and Information Sciences (ICCIS). :1–4.
Security and consistency of smart grids is one of the main issues in the design and maintenance of highly controlled and monitored new power grids. Bad data injection attack could lead to disasters such as power system outage, or huge economical losses. In many attack scenarios, the attacker can come up with new attack strategies that couldn't be detected by the traditional bad data detection methods. Adaptive Partitioning State Estimation (APSE) method [3] has been proposed recently to combat such attacks. In this work, we evaluate and compare with a traditional method. The main idea of APSE is to increase the sensitivity of the chi-square test by partitioning the large grids into small ones and apply the test on each partition individually and repeat this procedure until the faulty node is located. Our simulation findings using MATPOWER program show that the method is not consistent where it is sensitive the systems size and the location of faulty nodes as well.
Li, Zhifeng, Li, Yintao, Lin, Peng.  2019.  The Security Evaluation of Big Data Research for Smart Grid. 2019 15th International Wireless Communications Mobile Computing Conference (IWCMC). :1055–1059.
The technological development of the energy sector also produced complex data. In this study, the relationship between smart grid and big data approaches have been investigated. After analyzing which areas of the smart grid system use big data technologies and technologies, big data technologies for detecting smart grid attacks have received attention. Big data analytics can produce efficient solutions and it is especially important to choose which algorithms and metrics to use. For this reason, an application prototype has been proposed that uses a big data method to detect attacks on the smart grid. The algorithm with high accuracy was determined to be 92% for random forests and 87% for decision trees.
Paul, Shuva, Ni, Zhen.  2019.  A Strategic Analysis of Attacker-Defender Repeated Game in Smart Grid Security. 2019 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT). :1–5.

Traditional power grid security schemes are being replaced by highly advanced and efficient smart security schemes due to the advancement in grid structure and inclusion of cyber control and monitoring tools. Smart attackers create physical, cyber, or cyber-physical attacks to gain the access of the power system and manipulate/override system status, measurements and commands. In this paper, we formulate the environment for the attacker-defender interaction in the smart power grid. We provide a strategic analysis of the attacker-defender strategic interaction using a game theoretic approach. We apply repeated game to formulate the problem, implement it in the power system, and investigate for optimal strategic behavior in terms of mixed strategies of the players. In order to define the utility or cost function for the game payoffs calculation, generation power is used. Attack-defense budget is also incorporated with the attacker-defender repeated game to reflect a more realistic scenario. The proposed game model is validated using IEEE 39 bus benchmark system. A comparison between the proposed game model and the all monitoring model is provided to validate the observations.