EFFECT: an efficient flexible privacy-preserving data aggregation scheme with authentication in smart grid
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摘要
Smart grid is considered as a promising approach to solve the problems of carbon emission and energy crisis. In smart grid, the power consumption data are collected to optimize the energy utilization.However, security issues in communications still present practical concerns. To cope with these challenges, we propose EFFECT, an efficient flexible privacy-preserving aggregation scheme with authentication in smart grid. Specifically, in the proposed scheme, we achieve both data source authentication and data aggregation in high efficiency. Besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and the time period, which can support fault-tolerance while ensuring individual data privacy during aggregation.Detailed security analysis shows that our scheme can satisfy the desired security requirements of smart grid.In addition, we compare our scheme with existing schemes to demonstrate the effectiveness of our proposed scheme in terms of low computational complexity and communication overhead.
Smart grid is considered as a promising approach to solve the problems of carbon emission and energy crisis. In smart grid, the power consumption data are collected to optimize the energy utilization.However, security issues in communications still present practical concerns. To cope with these challenges, we propose EFFECT, an efficient flexible privacy-preserving aggregation scheme with authentication in smart grid. Specifically, in the proposed scheme, we achieve both data source authentication and data aggregation in high efficiency. Besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and the time period, which can support fault-tolerance while ensuring individual data privacy during aggregation.Detailed security analysis shows that our scheme can satisfy the desired security requirements of smart grid.In addition, we compare our scheme with existing schemes to demonstrate the effectiveness of our proposed scheme in terms of low computational complexity and communication overhead.
Smart grid is considered as a promising approach to solve the problems of carbon emission and energy crisis. In smart grid, the power consumption data are collected to optimize the energy utilization.However, security issues in communications still present practical concerns. To cope with these challenges, we propose EFFECT, an efficient flexible privacy-preserving aggregation scheme with authentication in smart grid. Specifically, in the proposed scheme, we achieve both data source authentication and data aggregation in high efficiency. Besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and the time period, which can support fault-tolerance while ensuring individual data privacy during aggregation.Detailed security analysis shows that our scheme can satisfy the desired security requirements of smart grid.In addition, we compare our scheme with existing schemes to demonstrate the effectiveness of our proposed scheme in terms of low computational complexity and communication overhead.
引文
1 Wang K,Du M,Maharjan S,et al.Strategic honeypot game model for distributed denial of service attacks in the smart grid.IEEE Trans Smart Grid,2017,8:2474-2482
2 Guan Z T,Si G L,Zhang X S,et al.Privacy-preserving and efficient aggregation based on blockchain for power grid communications in smart communities.IEEE Commun Mag,2018,56:82-88
3 Xue K P,Li S H,Hong J N,et al.Two-cloud secure database for numeric-related sql range queries with privacy preserving.IEEE Trans Inf Foren Sec,2017,12:1596-1608
4 Wu J,Dong M X,Ota K,et al.Securing distributed storage for social internet of things using regenerating code and blom key agreement.Peer-to-Peer Netw Appl,2015,8:1133-1142
5 Erkin Z,Troncoso-Pastoriza J,Lagendijk R,et al.Privacy-preserving data aggregation in smart metering systems:an overview.IEEE Signal Proc Mag,2013,30:75-86
6 Yan Y,Qian Y,Sharif H,et al.A survey on smart grid communication infrastructures:motivations,requirements and challenges.IEEE Commun Surv Tut,2013,15:5-20
7 Cho S,Li H,Choi B J.Palda:efficient privacy-preserving authentication for lossless data aggregation in smart grids.In:Proceedings of IEEE International Conference on Smart Grid Communications,2014.914-919
8 Guan Z T,Li J,Zhu L H,et al.Toward delay-tolerant flexible data access control for smart grid with renewable energy resources.IEEE Trans Ind Inform,2017,13:3216-3225
9 Zheng J M,Tan Y A,Zhang Q K,et al.Cross-cluster asymmetric group key agreement for wireless sensor networks.Sci China Inf Sci,2018,61:048103
10 Guan Z T,Li J,Wu L F,et al.Achieving efficient and secure data acquisition for cloud-supported internet of things in smart grid.IEEE Int Thing J,2017,4:1934-1944
11 Zhang Z J,Qin Z,Zhu L H,et al.Cost-friendly differential privacy for smart meters:exploiting the dual roles of the noise.IEEE Trans Smart Grid,2016,8:619-626
12 Li S H,Xue K P,Yang Q Y,et al.PPMA:privacy-preserving multisubset data aggregation in smart grid.IEEE Trans Ind Inf,2018,14:462-471
13 Li S H,Zhang X,Xue K P,et al.Privacy-preserving prepayment based power request and trading in smart grid.China Commun,2018,15:14-27
14 Xiao Y,Tan Y A,Sun Z Z,et al.A fault-tolerant and energy-efficient continuous data protection system.J Amb Intel Hum Comp,2018.doi:10.1007/s12652-018-0726-2
15 Przydatek B,Song D,Perrig A.Sia:secure information aggregation in sensor networks.In:Proceedings of the 1st International Conference on Embedded Networked Sensor Systems,2003.255-265
16 Shi E,Chan T H,Rieffel E,et al.Privacy-preserving aggregation of time-series data.In:Proceedings of the 18th Annual Network and Distributed System Security Conference,2011
17 Kim Y S,Heo J.Device authentication protocol for smart grid systems using homomorphic Hash.J Commun Netw,2012,14:606-613
18 Lu R X,Liang X H,Li X,et al.EPPA:an efficient and privacy-preserving aggregation scheme for secure smart grid communications.IEEE Trans Paral Distrib Syst,2012,23:1621-1631
19 Chen L,Lu R X,Cao Z F.Pdaft:a privacy-preserving data aggregation scheme with fault tolerance for smart grid communications.Peer Peer Netw Appl,2015,8:1122-1132
20 Shi Z G,Sun R X,Lu R X,et al.Diverse grouping-based aggregation protocol with error detection for smart grid communications.IEEE Trans Smart Grid,2015,6:2856-2868
21 Wu J,Dong M X,Ota K,et al.Big data analysis-based secure cluster management for optimized control plane in software-defined networks.IEEE Trans Netw Serv Manage,2018,15:27-38
22 Zhang X S,Tan Y A,Xue Y,et al.Cryptographic key protection against FROST for mobile devices.Cluster Comput,2017,20:2393-2402
23 Gao S,Ma X D,Zhu J M,et al.APRS:a privacy-preserving location-aware recommender system based on differentially private histogram.Sci China Inf Sci,2017,60:119103
24 Mustafa M A,Zhang N,Kalogridis G,et al.Dep2sa:a decentralized efficient privacy-preserving and selective aggregation scheme in advanced metering infrastructure.IEEE Access,2016,3:2828-2846
25 Wang T,Zeng J D,Bhuiyan M Z A,et al.Trajectory privacy preservation based on a fog structure for cloud location services.IEEE Access,2017,5:7692-7701
26 Shen H,Zhang M W,Shen J.Efficient privacy-preserving cube-data aggregation scheme for smart grids.IEEE Trans Inf Foren Secur,2017,12:1369-1381
27 Fouda M M,Fadlullah Z M,Kato N,et al.A lightweight message authentication scheme for smart grid communications.IEEE Trans Smart Grid,2011,2:675-685
28 Paillier P.Public-key cryptosystems based on composite degree residuosity classes.In:Proceedings of International Conference on Theory and Application of Cryptographic Techniques,1999.223-238
29 Blakley G R.Safeguarding cryptographic keys.In:Proceeding of International Workshop on Managing Requirements Knowledge,1979.313-317
30 Yu Y,Xue L,Au M H,et al.Cloud data integrity checking with an identity-based auditing mechanism from RSA.Future Gener Comput Syst,2016,62:85-91
31 Bellare M,Garay J A,Rabin T.Fast batch verification for modular exponentiation and digital signatures.In:Proceeding of International Conference on the Theory and Applications of Cryptographic Techniques,1998.236-250
32 Li H W,Lin X D,Yang H M,et al.EPPDR:an efficient privacy-preserving demand response scheme with adaptive key evolution in smart grid.IEEE Trans Paral Distrib Syst,2014,25:2053-2064
33 Dan B,Lynn B,Shacham H.Short signatures from the weil pairing.In:Proceeding of International Conference on the Theory and Application of Cryptology and Information Security,2001.514-532
34 Failla P.Privacy preserving processing of biometric templates by homomorphic encryption.Dissertation for Ph.D.Degree.Siena:University of Siena,2011
35 Lynn B.PBC:the pairing-based cryptography library.Version 0.5.14,2013.http://crypto.stanford.edu/pbc/
1)Crypto++6.0.0 Benchmarks. 2017. https://www.cryptopp.com/benchmarks.html.
2 Guan Z T,Si G L,Zhang X S,et al.Privacy-preserving and efficient aggregation based on blockchain for power grid communications in smart communities.IEEE Commun Mag,2018,56:82-88
3 Xue K P,Li S H,Hong J N,et al.Two-cloud secure database for numeric-related sql range queries with privacy preserving.IEEE Trans Inf Foren Sec,2017,12:1596-1608
4 Wu J,Dong M X,Ota K,et al.Securing distributed storage for social internet of things using regenerating code and blom key agreement.Peer-to-Peer Netw Appl,2015,8:1133-1142
5 Erkin Z,Troncoso-Pastoriza J,Lagendijk R,et al.Privacy-preserving data aggregation in smart metering systems:an overview.IEEE Signal Proc Mag,2013,30:75-86
6 Yan Y,Qian Y,Sharif H,et al.A survey on smart grid communication infrastructures:motivations,requirements and challenges.IEEE Commun Surv Tut,2013,15:5-20
7 Cho S,Li H,Choi B J.Palda:efficient privacy-preserving authentication for lossless data aggregation in smart grids.In:Proceedings of IEEE International Conference on Smart Grid Communications,2014.914-919
8 Guan Z T,Li J,Zhu L H,et al.Toward delay-tolerant flexible data access control for smart grid with renewable energy resources.IEEE Trans Ind Inform,2017,13:3216-3225
9 Zheng J M,Tan Y A,Zhang Q K,et al.Cross-cluster asymmetric group key agreement for wireless sensor networks.Sci China Inf Sci,2018,61:048103
10 Guan Z T,Li J,Wu L F,et al.Achieving efficient and secure data acquisition for cloud-supported internet of things in smart grid.IEEE Int Thing J,2017,4:1934-1944
11 Zhang Z J,Qin Z,Zhu L H,et al.Cost-friendly differential privacy for smart meters:exploiting the dual roles of the noise.IEEE Trans Smart Grid,2016,8:619-626
12 Li S H,Xue K P,Yang Q Y,et al.PPMA:privacy-preserving multisubset data aggregation in smart grid.IEEE Trans Ind Inf,2018,14:462-471
13 Li S H,Zhang X,Xue K P,et al.Privacy-preserving prepayment based power request and trading in smart grid.China Commun,2018,15:14-27
14 Xiao Y,Tan Y A,Sun Z Z,et al.A fault-tolerant and energy-efficient continuous data protection system.J Amb Intel Hum Comp,2018.doi:10.1007/s12652-018-0726-2
15 Przydatek B,Song D,Perrig A.Sia:secure information aggregation in sensor networks.In:Proceedings of the 1st International Conference on Embedded Networked Sensor Systems,2003.255-265
16 Shi E,Chan T H,Rieffel E,et al.Privacy-preserving aggregation of time-series data.In:Proceedings of the 18th Annual Network and Distributed System Security Conference,2011
17 Kim Y S,Heo J.Device authentication protocol for smart grid systems using homomorphic Hash.J Commun Netw,2012,14:606-613
18 Lu R X,Liang X H,Li X,et al.EPPA:an efficient and privacy-preserving aggregation scheme for secure smart grid communications.IEEE Trans Paral Distrib Syst,2012,23:1621-1631
19 Chen L,Lu R X,Cao Z F.Pdaft:a privacy-preserving data aggregation scheme with fault tolerance for smart grid communications.Peer Peer Netw Appl,2015,8:1122-1132
20 Shi Z G,Sun R X,Lu R X,et al.Diverse grouping-based aggregation protocol with error detection for smart grid communications.IEEE Trans Smart Grid,2015,6:2856-2868
21 Wu J,Dong M X,Ota K,et al.Big data analysis-based secure cluster management for optimized control plane in software-defined networks.IEEE Trans Netw Serv Manage,2018,15:27-38
22 Zhang X S,Tan Y A,Xue Y,et al.Cryptographic key protection against FROST for mobile devices.Cluster Comput,2017,20:2393-2402
23 Gao S,Ma X D,Zhu J M,et al.APRS:a privacy-preserving location-aware recommender system based on differentially private histogram.Sci China Inf Sci,2017,60:119103
24 Mustafa M A,Zhang N,Kalogridis G,et al.Dep2sa:a decentralized efficient privacy-preserving and selective aggregation scheme in advanced metering infrastructure.IEEE Access,2016,3:2828-2846
25 Wang T,Zeng J D,Bhuiyan M Z A,et al.Trajectory privacy preservation based on a fog structure for cloud location services.IEEE Access,2017,5:7692-7701
26 Shen H,Zhang M W,Shen J.Efficient privacy-preserving cube-data aggregation scheme for smart grids.IEEE Trans Inf Foren Secur,2017,12:1369-1381
27 Fouda M M,Fadlullah Z M,Kato N,et al.A lightweight message authentication scheme for smart grid communications.IEEE Trans Smart Grid,2011,2:675-685
28 Paillier P.Public-key cryptosystems based on composite degree residuosity classes.In:Proceedings of International Conference on Theory and Application of Cryptographic Techniques,1999.223-238
29 Blakley G R.Safeguarding cryptographic keys.In:Proceeding of International Workshop on Managing Requirements Knowledge,1979.313-317
30 Yu Y,Xue L,Au M H,et al.Cloud data integrity checking with an identity-based auditing mechanism from RSA.Future Gener Comput Syst,2016,62:85-91
31 Bellare M,Garay J A,Rabin T.Fast batch verification for modular exponentiation and digital signatures.In:Proceeding of International Conference on the Theory and Applications of Cryptographic Techniques,1998.236-250
32 Li H W,Lin X D,Yang H M,et al.EPPDR:an efficient privacy-preserving demand response scheme with adaptive key evolution in smart grid.IEEE Trans Paral Distrib Syst,2014,25:2053-2064
33 Dan B,Lynn B,Shacham H.Short signatures from the weil pairing.In:Proceeding of International Conference on the Theory and Application of Cryptology and Information Security,2001.514-532
34 Failla P.Privacy preserving processing of biometric templates by homomorphic encryption.Dissertation for Ph.D.Degree.Siena:University of Siena,2011
35 Lynn B.PBC:the pairing-based cryptography library.Version 0.5.14,2013.http://crypto.stanford.edu/pbc/
1)Crypto++6.0.0 Benchmarks. 2017. https://www.cryptopp.com/benchmarks.html.
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