Security and Privacy in Smart Grid
by Asmaa Abdallah, Xuemin Shen
This SpringerBrief addresses the main security concerns for smart grid, e.g., the privacy of electricity consumers, the exchanged messages integrity and confidentiality, the authenticity of participated parties, and the false data injection attacks. Moreover, the authors demonstrate in detail the various proposed techniques to secure the smart grid's different communication networks and preserve the privacy of the involved.Over many years, power grid has generated electricity from central generators and distributed it in one direction from the generation stations to end-users; also, information is one directional so that the grid's control center doesn't get enough information about customers' requirements and consequently can't prevent electricity losses. So, the electricity grid is merged with information and communication technology to form smart grid. The main target of this incorporation is to connect different parties of power grid to exchange information aboutgrid conditions and customers' requirements, and consequently, improve the reliability and efficiency of electricity generation and distribution.That upgrade of the power grid exposes it to the cyber security threats that the communication networks suffer from, such as malicious attacks to forge the electricity consumption readings or price, extract personal information for residential consumers, such as daily habits and life style, or attack some grid's resources and equipment availability using denial-of-service attacks. Also, novel threats are introduced in smart grid due to the power grid nature, such as false data injection attack, in which the adversary compromises several measurement units and injects false information about the grid conditions that mislead the grid's control center to make wrong decisions for the grid and consequently impact on its stability and efficiency.
Paperback
English
Brand New
Table of Contents
Chapter 1 Introduction 1.1 Smart Grid Definition 1.2 Smart Grid Security Concerns1.3 Motivation and Objectives1.4 Outlines of the Book Chapter 2 Background and Literature Survey 2.1 Smart Grid Benefits2.2.1 Smart Grid Reference Model 2.2.3.1 Smart Infrastructure System2.2.3.2 Smart Management System 2.2.3.3 Smart Protection System 2.3.1 Home Area Networks (HANs) 2.3.2 Neighbourhood Area Networks (NANs)2.3.3 Vehicle-to-Grid(V2G) Connections 2.3.4 Wide Area Networks (WANs) 2.4.3 False Data Injection (FDI)Attacks 2.5 Smart Grid Security Concern Chapter 3 Security and Privacy Concerns in Smart Grid 3.1 Customer-side Networks Security and Privacy Problems and Related Works3.3 Power Control System and State Estimation Security Problems and Related Works Chapter 4 Lightweight Security and Privacy Preserving Scheme for Smart Grid Customer-side Networks 4.1 System Model4.1.1 Network Model4.1.2 Adversary Model and Security Requirements4.1.3 Design Goals4.2 Preliminaries4.2.1 NTRU Cryptographic Scheme4.2.1.1 NTRU crypto-system4.2.1.2 NTRU Signature Scheme (NSS) 4.3 The Proposed Scheme4.3.1 Phase1. Initialization 4.3.2 Phase2. Exchange Message 4.4 Security Analysis 4.5 Performance Evaluation 4.5.1 Communication overhead4.5.2 Computation complexity Chapter 5 A Lightweight Lattice-based Homomorphic Privacy-Preserving Data Aggregation Scheme for Smart Grid 5.1 System Model5.1.1 Network Model 5.1.2 Adversary Model and Security Requirements 5.1.3 Design Goals5.3.1 Initialization Phase 5.3.2 Reading Aggregation Phase 5.4 Security Analysis 5.5 Performance Evaluation 5.5.1 Communication Overhead 5.5.2 Computation Overhead Chapter 6 Lightweight Authentication and Privacy-Preserving Scheme for V2G Connections 6.1 System Model6.1.1 Network Model 6.1.2 Adversary Model and Security Requirements 6.1.3 Design Goals 6.2.1.1 Key generation 6.2.1.2 Encryption 6.2.1.3 Decryption 6.2.1.4 Signing 6.2.1.5 Verification 6.3 The Proposed Scheme 6.3.1 Initialization Phase 6.3.2 Operation Phase 6.3.2.1 Case1. The CC Supply Request 6.3.2.2 Case2. The CC Consume Request 6.3.2.3 Case3. The EV Charge Request 6.3.2.4 Case4. The EV Discharge Request6.5 Performance Evaluation 6.5.1 Communication Complexity 6.5.2 Computation Complexity 6.6 Summary Chapter 7 Efficient Prevention Technique for False Data Injection Attack in Smart Grid 7.1 System Model7.1.1 Network Model 7.1.2 Adversary Model 7.1.3 Security Requirements and Design Goals 7.2 Preliminaries 7.2.1 McEliece cryptosystem7.2.1.1 Notions7.2.1.2 Key generation7.2.1.3 Encryption 7.2.1.4 Decryption7.3 The Proposed Scheme 7.3.1 Initialization phase7.3.2.1 Operation for transmission7.3.2.2 Operation for compromised units 7.3.2.3 Operation for state estimation7.5 Performance Evaluation 7.5.1 Communication Complexity 7.5.2 Computation Complexity7.5.3 State Estimator Performance Evaluation 7.6 Case Study 7.7 Summary Chapter 8 Conclusions and Future Work 8.1 Conclusions8.2 Further Research Topics
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