Lightweight Privacy-Aware Yet Accountable Secure Scheme for SM-SGCC Communications in Smart Grid  

作　　者：Wei Ren Jun Song Yu Yang Yi Ren 

机构地区：[1]School of Computer Science, China University of Geosciences, Wuhan 430074, China [2]Shandong Provincial Key Laboratory of Computer Network, Jinan 250014, China [3]Key Laboratory of Network and Information Attack and Defense Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing100876, China [4]Department of Information and Communication Technology, University of Agder （UiA）, Grimstad, Norway

出　　处：《Tsinghua Science and Technology》2011年第6期640-647,共8页清华大学学报（自然科学版（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 61170217);the Special Fund for Basic Scientific Research of Central Colleges,China University of Geosciences (Wuhan) (No. 090109);the Open Research Fund from Shandong Provincial Key Laboratory of Computer Network (No. SDKLCN-2011-01);the National Key Basic Research and Development Program (973) of China (No. 2007CB311203)

摘　　要：Smart grid is envisioned as a critical application of cyber-physical systems and of the internet of things. In the smart grid, smart meters equipped with wireless sensors can upload meter readings （data） to smart grid control and schedule centers via the advanced metering infrastructure to improve power delivery efficiency. However, data gathered in short intervals, such as 15 minutes, will expose customers＇ detailed daily activities （for example, when they get up and when they use oven） using nonintrusive appliance load monitoring. Thus, data must be hidden to protect customers＇ privacy. However, data accountability is still required for emergency responses or to trace back suspected intrusions, even though the data is anonymous. In addition to desired security requirements, this imposes two extra tasks： Sensors in smart meters usually have resource constraints; thus, the desired security protocols have to remain lightweight in terms of computation and storage cost. Furthermore, scalability and flexibility are required since there exist vast meters. This paper presents a lightweight Privacy-aware yet Accountable Secure Scheme called PASS which guarantees privacy-aware accountability yet tackles the above challenges in the smart grid. A formal secu- rity analysis justifies that PASS can attain the security goals, while a performance analysis verifies that PASS requires few computations, and is scalable and flexible.Smart grid is envisioned as a critical application of cyber-physical systems and of the internet of things. In the smart grid, smart meters equipped with wireless sensors can upload meter readings （data） to smart grid control and schedule centers via the advanced metering infrastructure to improve power delivery efficiency. However, data gathered in short intervals, such as 15 minutes, will expose customers＇ detailed daily activities （for example, when they get up and when they use oven） using nonintrusive appliance load monitoring. Thus, data must be hidden to protect customers＇ privacy. However, data accountability is still required for emergency responses or to trace back suspected intrusions, even though the data is anonymous. In addition to desired security requirements, this imposes two extra tasks： Sensors in smart meters usually have resource constraints; thus, the desired security protocols have to remain lightweight in terms of computation and storage cost. Furthermore, scalability and flexibility are required since there exist vast meters. This paper presents a lightweight Privacy-aware yet Accountable Secure Scheme called PASS which guarantees privacy-aware accountability yet tackles the above challenges in the smart grid. A formal secu- rity analysis justifies that PASS can attain the security goals, while a performance analysis verifies that PASS requires few computations, and is scalable and flexible.

关 键 词：smart grid PRIVACY smart meter sensor ACCOUNTABILITY 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论] F426.61[自动化与计算机技术—计算机科学与技术]