Towards a set aggregation-based data integrity scheme for smart grids
暂无分享,去创建一个
[1] Mohamed Amine Ferrag. EPEC: an efficient privacy-preserving energy consumption scheme for smart grid communications , 2017, Telecommun. Syst..
[2] Rongxing Lu,et al. A lightweight data aggregation scheme achieving privacy preservation and data integrity with differential privacy and fault tolerance , 2017, Peer-to-Peer Netw. Appl..
[3] Kemal Akkaya,et al. Performance evaluation of Smart Grid data aggregation via homomorphic encryption , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).
[4] Josep Domingo-Ferrer,et al. Anonymous and secure aggregation scheme in fog-based public cloud computing , 2018, Future Gener. Comput. Syst..
[5] Elaine Shi,et al. Privacy-Preserving Aggregation of Time-Series Data , 2011, NDSS.
[6] Xiaodong Lin,et al. MuDA: Multifunctional data aggregation in privacy-preserving smart grid communications , 2015, Peer Peer Netw. Appl..
[7] G. Lakpathi,et al. Identity-Based Encryption with Outsourced Revocation in Cloud Computing , 2016 .
[8] Winston Khoon Guan Seah,et al. Efficient and secure data aggregation for smart metering networks , 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.
[9] Xiaodong Lin,et al. Differentially Private Smart Metering With Fault Tolerance and Range-Based Filtering , 2017, IEEE Transactions on Smart Grid.
[10] Rongxing Lu,et al. A New Differentially Private Data Aggregation With Fault Tolerance for Smart Grid Communications , 2015, IEEE Internet of Things Journal.
[11] Mauro Conti,et al. Despicable me(ter): Anonymous and fine-grained metering data reporting with dishonest meters , 2016, 2016 IEEE Conference on Communications and Network Security (CNS).
[12] Kemal Akkaya,et al. Privacy-preserving protocols for secure and reliable data aggregation in IoT-enabled Smart Metering systems , 2018, Future Gener. Comput. Syst..
[13] Pascal Paillier,et al. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes , 1999, EUROCRYPT.
[14] Dharma P. Agrawal,et al. Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security , 2016 .
[15] Debiao He,et al. Privacy-preserving data aggregation scheme against internal attackers in smart grids , 2016, Wirel. Networks.
[16] Xiaodong Lin,et al. LPDA: A lightweight privacy-preserving data aggregation scheme for smart grid , 2012, 2012 International Conference on Wireless Communications and Signal Processing (WCSP).
[17] Yutaka Ishibashi,et al. An Efficient Algorithm for Media-based Surveillance System (EAMSuS) in IoT Smart City Framework , 2017, Future Gener. Comput. Syst..
[18] Kijoon Chae,et al. Secure Aggregation and Attack Detection for Smart Grid System , 2013, 2013 16th International Conference on Network-Based Information Systems.
[19] Xingming Sun,et al. Toward Efficient Multi-Keyword Fuzzy Search Over Encrypted Outsourced Data With Accuracy Improvement , 2016, IEEE Transactions on Information Forensics and Security.
[20] H. Farhangi,et al. The path of the smart grid , 2010, IEEE Power and Energy Magazine.
[21] Sanjay Kumar Madria,et al. Secure Hierarchical Data Aggregation in Wireless Sensor Networks: Performance Evaluation and Analysis , 2009, 2012 IEEE 13th International Conference on Mobile Data Management.
[22] Haiyong Bao,et al. A lightweight privacy‐preserving scheme with data integrity for smart grid communications , 2016, Concurr. Comput. Pract. Exp..
[23] Jianhong Zhang,et al. SP2DAS: Self-certified PKC-Based Privacy-Preserving Data Aggregation Scheme in Smart Grid , 2013, Int. J. Distributed Sens. Networks.
[24] Xuemin Sherman Shen,et al. A Lightweight Lattice-Based Homomorphic Privacy-Preserving Data Aggregation Scheme for Smart Grid , 2018, IEEE Transactions on Smart Grid.
[25] Alfred Menezes,et al. Handbook of Applied Cryptography , 2018 .
[26] Xiaohui Liang,et al. EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications , 2012, IEEE Transactions on Parallel and Distributed Systems.
[27] Jian Shen,et al. Efficient Privacy-Preserving Cube-Data Aggregation Scheme for Smart Grids , 2017, IEEE Transactions on Information Forensics and Security.
[28] Bart Jacobs,et al. Privacy-Friendly Energy-Metering via Homomorphic Encryption , 2010, STM.
[29] Rongxing Lu,et al. PDA: a privacy-preserving dual-functional aggregation scheme for smart grid communications , 2015, Secur. Commun. Networks.
[30] Fengjun Li,et al. Preserving data integrity for smart grid data aggregation , 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).
[31] Marco Tiloca,et al. Current State of the Art in Smart Metering Security , 2015 .
[32] Elisa Bertino,et al. Homomorphic Encryption and Applications , 2014, SpringerBriefs in Computer Science.
[33] Ning Zhang,et al. MUSP: Multi-service, User Self-controllable and Privacy-preserving system for smart metering , 2015, 2015 IEEE International Conference on Communications (ICC).
[34] Xiaodong Lin,et al. A Novel Privacy-Preserving Set Aggregation Scheme for Smart Grid Communications , 2014, GLOBECOM 2014.
[35] Seref Sagiroglu,et al. A survey on the critical issues in smart grid technologies , 2016 .
[36] Ivan Damgård,et al. A Generalisation, a Simplification and Some Applications of Paillier's Probabilistic Public-Key System , 2001, Public Key Cryptography.