Public-Key Cryptosystems Based on Composite Degree Residuosity Classes

New directions in cryptography

Diffie, W., & Hellman, M. (1976) · IEEE Transactions on Information Theory · doi:10.1109/tit.1976.1055638 · Cited by 14,713 · see citing works

A method for obtaining digital signatures and public-key cryptosystems

Rivest, R. L., Shamir, A., & Adleman, L. (1978) · Communications of the ACM · doi:10.1145/359340.359342 · Cited by 13,462 · see citing works

A method for obtaining digital signatures and public-key cryptosystems

Rivest, R. L., Shamir, A., & Adleman, L. (1983) · Communications of the ACM · doi:10.1145/357980.358017 · Cited by 13,012 · see citing works

A public key cryptosystem and a signature scheme based on discrete logarithms

Elgamal, T. (1985) · IEEE Transactions on Information Theory · doi:10.1109/tit.1985.1057074 · Cited by 8,059 · see citing works

Random oracles are practical

Bellare, M., & Rogaway, P. (1993) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/168588.168596 · Cited by 4,695 · see citing works

A Public-Key Cryptosystem Based On Algebraic Coding Theory

McEliece, R. J. (1978) · Deep Space Network Progress Report · Cited by 1,536 · see citing works

Public-Key Cryptography

Mollin, R. A. (2005) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420035087-10 · Cited by 914 · see citing works

Hiding information and signatures in trapdoor knapsacks

Merkle, R. C., & Hellman, M. E. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055927 · Cited by 825 · see citing works

A secure and optimally efficient multi‐authority election scheme

Cramer, R., Gennaro, R., & Schoenmakers, B. (1997) · European Transactions on Telecommunications · doi:10.1002/ett.4460080506 · Cited by 788 · see citing works

A new public-key cryptosystem as secure as factoring

Okamoto, T., & Uchiyama, S. (1998) · Lecture notes in computer science · doi:10.1007/bfb0054135 · Cited by 674 · see citing works

Public Quadratic Polynomial-Tuples for Efficient Signature-Verification and Message-Encryption

Matsumoto, T., & Imai, H. (1988) · Lecture notes in computer science · doi:10.1007/3-540-45961-8_39 · Cited by 507 · see citing works

Verifiable secret-ballot elections

Benaloh, J. (1987) · Cited by 380 · see citing works

A Secure and Optimally Efficient Multi-Authority Election Scheme

Cramer, R., Gennaro, R., & Schoenmakers, B. (1997) · Lecture notes in computer science · doi:10.1007/3-540-69053-0_9 · Cited by 360 · see citing works

A new public key cryptosystem based on higher residues

Naccache, D., & Stern, J. (1998) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/288090.288106 · Cited by 350 · see citing works

A key distribution system equivalent to factoring

McCurley, K. S. (1988) · Journal of Cryptology · doi:10.1007/bf02351718 · Cited by 175 · see citing works

New Public-Key Schemes Based on Elliptic Curves over the Ring Zn

Koyama, K., Maurer, U. M., Okamoto, T., & Vanstone, S. A. (2007) · Springer eBooks · doi:10.1007/3-540-46766-1_20 · Cited by 173 · see citing works

The Chinese Remainder Theorem

Anderson, M., & Feil, T. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b17673-23 · Cited by 150 · see citing works

A New Public-Key Cryptosystem

Naccache, D., & Stern, J. (1997) · Lecture notes in computer science · doi:10.1007/3-540-69053-0_3 · Cited by 119 · see citing works

Trapdoor one-way permutations and multivariate polynomials

Patarin, J., & Goubin, L. (1997) · Lecture notes in computer science · doi:10.1007/bfb0028491 · Cited by 108 · see citing works

Public-Key Cryptography

Salomaa, A. K. (1990) · Springer eBooks · doi:10.1007/978-3-662-02627-4 · Cited by 108 · see citing works

On Software Protection via Function Hiding

Sander, T., & Tschudin, C. (1998) · Lecture notes in computer science · doi:10.1007/3-540-49380-8_9 · Cited by 97 · see citing works

Chinese Remainder Theorem

Ding, C., Pei, D., & Salomaa, A. (1996) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789812779380 · Cited by 63 · see citing works

Cryptanalysis of the Ajtai-Dwork cryptosystem

Nguyen, P., & Stern, J. (1998) · Lecture notes in computer science · doi:10.1007/bfb0055731 · Cited by 53 · see citing works

Faster factoring of integers of a special form

Peralta, R., & Okamoto, E. (1996) · Cited by 38 · see citing works

Elliptic curve cryptosystems using curves of smooth order over the ring Z/sub n/

Vanstone, S. A., & Zuccherato, R. J. (1997) · IEEE Transactions on Information Theory · doi:10.1109/18.605586 · Cited by 35 · see citing works

Cryptanalysis of the Chor-Rivest cryptosystem

Vaudenay, S. (1998) · Lecture notes in computer science · doi:10.1007/bfb0055732 · Cited by 32 · see citing works

Locally random reductions in interactive complexity theory

Feigenbaum, J. (1993) · DIMACS series in discrete mathematics and theoretical computer science · doi:10.1090/dimacs/013/05 · Cited by 29 · see citing works

SOME PUBLIC-KEY CRYPTO-FUNCTIONS AS INTRACTABLE AS FACTORIZATION

WILLIAMS, H. C. (1985) · Cryptologia · doi:10.1080/0161-118591859942 · Cited by 24 · see citing works

Some Public-Key Crypto-Functions as Intractable as Factorization

Williams, H. C. (2007) · Springer eBooks · doi:10.1007/3-540-39568-7_7 · Cited by 18 · see citing works

On the complexity of breaking the Diffie-Hellman protocol

Maurer, U. M., & Wolf, S. (1996) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-a-006651578 · Cited by 10 · see citing works

New public-key cryptosystem

KALlPHA, S. M., Sada, J. W. A., & HUSSAIN, H. A. (1990) · International Journal of Systems Science · doi:10.1080/00207729008910354 · Cited by 8 · see citing works

A Generalization of Public Key Residue Cryptosystem

Park, S.-J., & Won, D. (1993) · India Software Engineering Conference · Cited by 6 · see citing works

Fully homomorphic encryption using ideal lattices

Gentry, C. (2009) · Proceedings of the forty-first annual ACM symposium on Theory of computing · doi:10.1145/1536414.1536440 · Cited by 6,806 · see citing works

SecureML: A System for Scalable Privacy-Preserving Machine Learning

Mohassel, P., & Zhang, Y. (2017) · 2017 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2017.12 · Cited by 1,936 · see citing works

Evaluating 2-DNF Formulas on Ciphertexts

Boneh, D., Goh, E.-J., & Kobbi Nissim, B. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-30576-7_18 · Cited by 1,679 · see citing works

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

Phong, L. T., Aono, Y., Hayashi, T., Wang, L., & Moriai, S. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2017.2787987 · Cited by 1,662 · see citing works

Efficient Fully Homomorphic Encryption from (Standard) LWE

Brakerski, Z., & Vaikuntanathan, V. (2011) · Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2011.12 · Cited by 1,466 · see citing works

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

Hassija, V., Chamola, V., Saxena, V., Jain, D., Goyal, P., & Sikdar, B. (2019) · IEEE Access · doi:10.1109/access.2019.2924045 · Cited by 1,445 · see citing works

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

Li, Q., Wen, Z., Wu, Z., Hu, S., Wang, N., Li, Y., Liu, X., & He, B. (2023) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2021.3124599 · Cited by 1,407 · see citing works

A Survey on Homomorphic Encryption Schemes: Theory and Implementation

Acar, A., Aksu, H., Uluagac, A. S., & Conti, M. (2019) · ACM Computing Surveys · doi:10.1145/3214303 · Cited by 1,397 · see citing works

Efficient Private Matching and Set Intersection

Freedman, M. J., Kobbi Nissim, B., & Benny Pinkas, B. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24676-3_1 · Cited by 1,294 · see citing works

CryptDB

Popa, R. A., Redfield, C. M. S., Zeldovich, N., & Balakrishnan, H. (2011) · ACM SIGOPS Symposium on Operating Systems Principles (SOSP) · doi:10.1145/2043556.2043566 · Cited by 1,166 · see citing works

Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages

Brakerski, Z., & Vaikuntanathan, V. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22792-9_29 · Cited by 1,114 · see citing works

Privacy Preserving Data Mining

Lindell, Y., & Pinkas, B. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44598-6_3 · Cited by 1,077 · see citing works

Federated learning on non-IID data: A survey

Zhu, H., Xu, J., Liu, S., & Jin, Y. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.07.098 · Cited by 1,062 · see citing works

A Generalisation, a Simplification and Some Applications of Paillier's Probabilistic Public-Key System

Damgård, I., & Jurik, M. J. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44586-2_9 · Cited by 1,058 · see citing works

A Hybrid Approach to Privacy-Preserving Federated Learning

Truex, S., Baracaldo, N., Anwar, A., Steinke, T., Ludwig, H., Zhang, R., & Zhou, Y. (2019) · Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security · doi:10.1145/3338501.3357370 · Cited by 1,029 · see citing works

Can homomorphic encryption be practical?

Naehrig, M., Lauter, K., & Vaikuntanathan, V. (2011) · Cloud Computing Security Workshop · doi:10.1145/2046660.2046682 · Cited by 1,027 · see citing works

Security and Privacy on Blockchain

Zhang, R., Xue, R., & Liu, L. (2019) · ACM Computing Surveys · doi:10.1145/3316481 · Cited by 1,024 · see citing works

Design and Analysis of Practical Public-Key Encryption Schemes Secure against Adaptive Chosen Ciphertext Attack

Cramer, R., & Shoup, V. (2003) · SIAM Journal on Computing · doi:10.1137/s0097539702403773 · Cited by 988 · see citing works

ABY - A Framework for Efficient Mixed-Protocol Secure Two-Party Computation

Demmler, D., Schneider, T. H., & Zohner, M. (2015) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2015.23113 · Cited by 841 · see citing works

Universal Hash Proofs and a Paradigm for Adaptive Chosen Ciphertext Secure Public-Key Encryption

Cramer, R., & Shoup, V. (2002) · Lecture notes in computer science · doi:10.1007/3-540-46035-7_4 · Cited by 841 · see citing works

A survey on privacy protection in blockchain system

Feng, Q., He, D., Zeadally, S., Khan, M. K., & Kumar, N. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.10.020 · Cited by 804 · see citing works

EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

Lu, R., Liang, X., Li, X., Lin, X., & Shen, X. (2012) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2012.86 · Cited by 769 · see citing works

Quadratic Span Programs and Succinct NIZKs without PCPs

Gennaro, R., Gentry, C., Parno, B. J., & Raykova, M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38348-9_37 · Cited by 751 · see citing works

Oblivious Neural Network Predictions via MiniONN Transformations

Liu, J., Juuti, M., Lu, Y., & Asokan, N. (2017) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3133956.3134056 · Cited by 711 · see citing works

Machine Learning Classification over Encrypted Data

Bost, R., Popa, R. A., Tu, S., & Goldwasser, S. (2015) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2015.23241 · Cited by 683 · see citing works

Charm: a framework for rapidly prototyping cryptosystems

Akinyele, J. A., Garman, C., Miers, I., Pagano, M. W., Rushanan, M., Green, M., & Rubin, A. D. (2013) · Journal of Cryptographic Engineering · doi:10.1007/s13389-013-0057-3 · Cited by 672 · see citing works

SecureBoost: A Lossless Federated Learning Framework

Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2021) · IEEE Intelligent Systems · doi:10.1109/mis.2021.3082561 · Cited by 669 · see citing works

Security and Privacy for Cloud-Based IoT: Challenges

Zhou, J., Cao, Z., Dong, X., & Vasilakos, A. V. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600363cm · Cited by 667 · see citing works

Privacy-Preserving Set Operations

Kissner, L., & Song, D. X. (2005) · Lecture notes in computer science · doi:10.1007/11535218_15 · Cited by 660 · see citing works

Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659 · see citing works

A secure federated transfer learning framework

Liu, Y., Kang, Y., Xing, C., Chen, T., & Yang, Q. (2020) · IEEE Intelligent Systems · doi:10.1109/mis.2020.2988525 · Cited by 645 · see citing works

Lossy Trapdoor Functions and Their Applications

Peikert, C., & Waters, B. R. (2008) · SIAM Journal on Computing · doi:10.1137/080733954 · Cited by 640 · see citing works

A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions

Yin, X., Zhu, Y., & Hu, J. (2022) · ACM Computing Surveys · doi:10.1145/3460427 · Cited by 638 · see citing works

Privacy-preserving <i>k</i> -means clustering over vertically partitioned data

Vaidya, J., & Clifton, C. (2003) · Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/956750.956776 · Cited by 626 · see citing works

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems

Li, B., Wu, Y., Song, J., Lu, R., Li, T., & Zhao, L. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3023430 · Cited by 623 · see citing works

DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive

Weng, J., Weng, J., Zhang, J., Li, M., Zhang, Y., & Luo, W. (2019) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2019.2952332 · Cited by 610 · see citing works

Privacy-Preserving Face Recognition

Erkin, Z., Franz, M., Guajardo, J., Katzenbeisser, S., Lagendijk, I., & Toft, T. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03168-7_14 · Cited by 592 · see citing works

Multiparty Computation from Threshold Homomorphic Encryption

Cramer, R., Damgård, I., & Nielsen, J. B. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44987-6_18 · Cited by 591 · see citing works

Secure Information Aggregation for Smart Grids Using Homomorphic Encryption

Li, F., Luo, B., & Liu, P. (2010) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgrid.2010.5622064 · Cited by 574 · see citing works

Secure Multiparty Computation for Privacy-Preserving Data Mining

Lindell, Y., & Benny Pinkas, B. (2009) · Journal of Privacy and Confidentiality · doi:10.29012/jpc.v1i1.566 · Cited by 566 · see citing works

Privacy and Robustness in Federated Learning: Attacks and Defenses

Lyu, L., Yu, H., Ma, X., Chen, C., Sun, L., Zhao, J., Yang, Q., & Yu, P. S. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3216981 · Cited by 548 · see citing works

Data Security and Privacy Protection for Cloud Storage: A Survey

Yang, P., Xiong, N. N., & Ren, J. (2020) · IEEE Access · doi:10.1109/access.2020.3009876 · Cited by 545 · see citing works

Practical Verifiable Encryption and Decryption of Discrete Logarithms

Camenisch, J. L., & Shoup, V. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45146-4_8 · Cited by 543 · see citing works

A Decade of Lattice Cryptography

Peikert, C. (2016) · Foundations and Trends® in Theoretical Computer Science · doi:10.1561/0400000074 · Cited by 541 · see citing works

Data security and privacy-preserving in edge computing paradigm: survey and open issues

Zhang, J., Chen, B., Zhao, Y., Cheng, X., & Hu, F. (2018) · IEEE Access · doi:10.1109/access.2018.2820162 · Cited by 514 · see citing works

Homomorphic Signature Schemes

Johnson, R. T., Molnár, D., Song, D. X., & Wagner, D. A. (2002) · Lecture notes in computer science · doi:10.1007/3-540-45760-7_17 · Cited by 514 · see citing works

Gazelle: A Low Latency Framework for Secure Neural Network InferencePreprint

Juvekar, C., Vaikuntanathan, V., & Chandrakasan, A. P. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.05507 · Cited by 503 · see citing works

A Survey of Homomorphic Encryption for Nonspecialists

Fontaine, C., & Galand, F. (2007) · EURASIP Journal on Information Security · doi:10.1155/2007/13801 · Cited by 491 · see citing works

A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT

Lu, R., Heung, K., Lashkari, A. H., & Ghorbani, A. A. (2017) · IEEE Access · doi:10.1109/access.2017.2677520 · Cited by 478 · see citing works

Secure Federated Matrix Factorization

Chai, D., Wang, L., Chen, K., & Yang, Q. (2020) · IEEE Intelligent Systems · doi:10.1109/mis.2020.3014880 · Cited by 473 · see citing works

Fully Homomorphic Encryption over the Integers with Shorter Public Keys

Coron, J.-S., Mandal, A., Naccache, D., & Tibouchi, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22792-9_28 · Cited by 469 · see citing works

Secure Single-Server Aggregation with (Poly)Logarithmic Overhead

Bell, J., Bonawitz, K., Gascón, A., Lepoint, T., & Raykova, M. (2020) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3372297.3417885 · Cited by 469 · see citing works

Routes for breaching and protecting genetic privacy

Erlich, Y., & Narayanan, A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3723 · Cited by 466 · see citing works

Privacy‐preserving federated learning based on multi‐key homomorphic encryption

Ma, J., Naas, S., Sigg, S., & Lyu, X. (2022) · International Journal of Intelligent Systems · doi:10.1002/int.22818 · Cited by 458 · see citing works

Privacy-Preserving Ridge Regression on Hundreds of Millions of Records

Nikolaenko, V., Weinsberg, U., Ioannidis, S., Jóye, M., Boneh, D., & Taft, N. (2013) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2013.30 · Cited by 447 · see citing works

Coercion-resistant electronic elections

Juels, A., Catalano, D., & Jakobsson, M. (2005) · ACM Workshop on Privacy in the Electronic Society (WPES) · doi:10.1145/1102199.1102213 · Cited by 446 · see citing works

Keyword Search and Oblivious Pseudorandom Functions

Freedman, M. J., Ishai, Y., Benny Pinkas, B., & Reingold, O. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-30576-7_17 · Cited by 444 · see citing works

Supply Chain Finance Innovation Using Blockchain

Du, M., Chen, Q., Xiao, J., Yang, H., & Ma, X. (2020) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2020.2971858 · Cited by 441 · see citing works

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Hardy, S., Henecka, W., Ivey-Law, H., Nock, R., Patrini, G., Smith, G., & Thorne, B. (2017) · arXiv · doi:10.48550/arxiv.1711.10677 · Cited by 431 · see citing works

Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning

Fang, H., & Qian, Q. (2021) · Future Internet · doi:10.3390/fi13040094 · Cited by 424 · see citing works

Anatomy of Threats to the Internet of Things

Makhdoom, I., Abolhasan, M., Lipman, J., Liu, R. P., & Ni, W. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2874978 · Cited by 418 · see citing works

Practical Private Set Intersection Protocols with Linear Complexity

Cristofaro, E. D., & Tsudik, G. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14577-3_13 · Cited by 417 · see citing works

Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

Li, Y., Wei, X., Li, Y., Dong, Z. Y., & Shahidehpour, M. (2022) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2022.3204796 · Cited by 414 · see citing works

Civitas: Toward a Secure Voting System

Clarkson, M. R., Chong, S., & Myers, A. C. (2008) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2008.32 · Cited by 406 · see citing works

Securing smart grid: cyber attacks, countermeasures, and challenges

Li, X., Liang, X., Lu, R., Shen, X., Lin, X., & Zhu, H. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6257525 · Cited by 405 · see citing works

Big data privacy: a technological perspective and review

Jain, P., Gyanchandani, M., & Khare, N. (2016) · Journal Of Big Data · doi:10.1186/s40537-016-0059-y · Cited by 405 · see citing works

Priced Oblivious Transfer: How to Sell Digital Goods

Aiello, B., Ishai, Y., & Reingold, O. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44987-6_8 · Cited by 397 · see citing works

Federated Learning

Yang, Q., Liu, Y., Cheng, Y., Kang, Y., Chen, T., & Yu, H. (2019) · Synthesis lectures on artificial intelligence and machine learning · doi:10.2200/s00960ed2v01y201910aim043 · Cited by 397 · see citing works

Secure k-nearest neighbor query over encrypted data in outsourced environments

Elmehdwi, Y., Samanthula, B. K., & Jiang, W. (2014) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2014.6816690 · Cited by 392 · see citing works

A New Randomness Extraction Paradigm for Hybrid Encryption

Kiltz, E., Pietrzak, K., Stam, M., & Yung, M. M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01001-9_34 · Cited by 388 · see citing works

Verifiable Delegation of Computation over Large Datasets

Benabbas, S., Gennaro, R., & Vahlis, Y. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22792-9_7 · Cited by 381 · see citing works

Privacy-Friendly Energy-Metering via Homomorphic Encryption

Garcia, F. D., & Jacobs, B. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22444-7_15 · Cited by 377 · see citing works

From distributed machine learning to federated learning: a survey

Liu, J., Huang, J., Zhou, Y., Li, X., Ji, S., Xiong, H., & Dou, D. (2022) · Knowledge and Information Systems · doi:10.1007/s10115-022-01664-x · Cited by 374 · see citing works

On Private Scalar Product Computation for Privacy-Preserving Data Mining

Goethals, B., Laur, S., Lipmaa, H., & Mielikäinen, T. (2005) · Lecture notes in computer science · doi:10.1007/11496618_9 · Cited by 372 · see citing works

Towards secure mobile cloud computing: a survey

Khan, A. N., Mat Kiah, M. L., Khan, S. U., & Madani, S. A. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2012.08.003 · Cited by 368 · see citing works

Efficient Privacy-Preserving Face Recognition

Sadeghi, A., Schneider, T. H., & Wehrenberg, I. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14423-3_16 · Cited by 366 · see citing works

Processing analytical queries over encrypted data

Tu, S., Kaashoek, M. F., Madden, S., & Zeldovich, N. (2013) · Proceedings of the VLDB Endowment · doi:10.14778/2535573.2488336 · Cited by 363 · see citing works

A Survey on Big Data Market: Pricing, Trading and Protection

Liang, F., Yu, W., An, D., Yang, Q., Fu, X., & Zhao, W. (2018) · IEEE Access · doi:10.1109/access.2018.2806881 · Cited by 361 · see citing works

Structure-Preserving Signatures and Commitments to Group Elements

Abe, M., Fuchsbauer, G., Groth, J., Haralambiev, K., & Ohkubo, M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14623-7_12 · Cited by 357 · see citing works

A Survey of Provably Secure Searchable Encryption

Bösch, C., Hartel, P., Jonker, W., & Peter, A. (2014) · ACM Computing Surveys · doi:10.1145/2636328 · Cited by 357 · see citing works

Semi-homomorphic Encryption and Multiparty Computation

Bendlin, R., Damgård, I., Orlandi, C., & Zakarias, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-20465-4_11 · Cited by 356 · see citing works

TASTY

Henecka, W., ögl, S. K., Sadeghi, A., Schneider, T. H., & Wehrenberg, I. (2010) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1866307.1866358 · Cited by 356 · see citing works

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Luong, N. C., Hoang, D. T., Wang, P., Niyato, D. T., Kim, D. I., & Han, Z. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2582841 · Cited by 355 · see citing works

On the Exact Security of Full Domain Hash

Coron, J.-S. (2000) · Lecture notes in computer science · doi:10.1007/3-540-44598-6_14 · Cited by 354 · see citing works

Secure and Privacy-Preserving Consensus

Ruan, M., Gao, H. B., & Wang, Y. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2019.2890887 · Cited by 352 · see citing works

Privacy-Enhanced Federated Learning Against Poisoning Adversaries

Liu, X., Li, H., Xu, G., Chen, Z., Huang, X., & Lu, R. (2021) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2021.3108434 · Cited by 351 · see citing works

Blockchain-Enabled Federated Learning Data Protection Aggregation Scheme With Differential Privacy and Homomorphic Encryption in IIoT

Jia, B., Zhang, X., Liu, J., Zhang, Y., Huang, K., & Liang, Y. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3085960 · Cited by 351 · see citing works

Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation

Lagendijk, R. L., & Barni, M. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2219653 · Cited by 334 · see citing works

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag, M. A., Maglaras, L. A., Janicke, H., Jiang, J., & Shu, L. (2017) · Security and Communication Networks · doi:10.1155/2017/6562953 · Cited by 331 · see citing works

Sharing Decryption in the Context of Voting or Lotteries

Fouque, P.-A., Poupard, G., & Stern, J. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45472-1_7 · Cited by 326 · see citing works

Toward efficient and privacy-preserving computing in big data era

Lu, R., Zhu, H., Liu, X., Liu, J. K., & Shao, J. (2014) · IEEE Network · doi:10.1109/mnet.2014.6863131 · Cited by 325 · see citing works

Survey on Fully Homomorphic Encryption, Theory, and Applications

Marcolla, C., Sucasas, V., Manzano, M., Bassoli, R., Fitzek, F. H. P., & Aaraj, N. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3205665 · Cited by 323 · see citing works

Security and Privacy in Device-to-Device (D2D) Communication: A Review

Haus, M., Waqas, M. M., Ding, A. Y., Li, Y., Tarkoma, S., & Ott, J. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2649687 · Cited by 318 · see citing works

Secure and practical outsourcing of linear programming in cloud computing

Wang, C., Ren, K., & Wang, J. S. (2011) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2011.5935305 · Cited by 315 · see citing works

Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey

Chen, L., Thombre, S., Jarvinen, K., Lohan, E. S., Alen-Savikko, A., Leppakoski, H., Bhuiyan, M. Z. H., Bu-Pasha, S., Ferrara, G. N., Honkala, S., et al. (2017) · IEEE Access · doi:10.1109/access.2017.2695525 · Cited by 313 · see citing works

Fully Secure Functional Encryption for Inner Products, from Standard Assumptions

Agrawal, S., Libert, B., & Stehlé, D. (2016) · Lecture notes in computer science · doi:10.1007/978-3-662-53015-3_12 · Cited by 312 · see citing works

Smart Meter Data Privacy: A Survey

Asghar, M. R., Dán, G., Miorandi, D., & Imrich Chlamtac, A. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2720195 · Cited by 309 · see citing works

Secure Hybrid Encryption from Weakened Key Encapsulation

Hofheinz, D., & Kiltz, E. (2007) · Springer eBooks · doi:10.1007/978-3-540-74143-5_31 · Cited by 305 · see citing works

Spatial crowdsourcing: a survey

Tong, Y., Zhou, Z., Zeng, Y., Chen, L., & Shahabi, C. (2019) · The VLDB Journal · doi:10.1007/s00778-019-00568-7 · Cited by 305 · see citing works

Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems

Miao, Y., Liu, Z., Li, H., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2022.3196274 · Cited by 303 · see citing works

A new public key cryptosystem based on higher residues

Naccache, D., & Stern, J. (1998) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/288090.288106 · Cited by 350 · see citing works

Efficient Public-Key Cryptosystems Provably Secure Against Active Adversaries

Paillier, P., Pointcheval, D., International, G. C., & Cryptography Department (1999)

Paillier Algorithm

Koç, Ç. K., Özdemir, F., & Özger, Z. Ö. (2021) · Springer eBooks · doi:10.1007/978-3-030-87629-6_9 · Cited by 1 · see citing works

A new public-key cryptosystem as secure as factoring

Okamoto, T., & Uchiyama, S. (1998) · Lecture notes in computer science · doi:10.1007/bfb0054135 · Cited by 674 · see citing works

Universal Hash Proofs and a Paradigm for Adaptive Chosen Ciphertext Secure Public-Key Encryption

Cramer, R., & Shoup, V. (2002) · Lecture notes in computer science · doi:10.1007/3-540-46035-7_4 · Cited by 841 · see citing works