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Foundations of Cryptography
Abstract
Cryptography is concerned with the conceptualization, definition and construction of computing systems that address security concerns. The design of cryptographic systems must be based on firm foundations. Foundations of Cryptography presents a rigorous and systematic treatment of foundational issues, defining cryptographic tasks and solving cryptographic problems. The emphasis is on the clarification of fundamental concepts and on demonstrating the feasibility of solving several central cryptographic problems, as opposed to describing ad-hoc approaches. This second volume contains a thorough treatment of three basic applications: Encryption, Signatures, and General Cryptographic Protocols. It builds on the previous volume, which provided a treatment of one-way functions, pseudorandomness, and zero-knowledge proofs. It is suitable for use in a graduate course on cryptography and as a reference book for experts. The author assumes basic familiarity with the design and analysis of algorithms; some knowledge of complexity theory and probability is also useful.
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Cited by
Our Data, Ourselves: Privacy Via Distributed Noise Generation
Dwork, C., Kenthapadi, K., McSherry, F., Mironov, I., & Naor, M. (2006) · Lecture Notes in Computer Science · doi:10.1007/11761679_29 · Cited by 1,835
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
On Ideal Lattices and Learning with Errors over Rings
Lyubashevsky, V., Peikert, C., & Regev, O. (2013) · Journal of the ACM · doi:10.1145/2535925 · Cited by 836
Privacy-Preserving Decision Trees over Vertically Partitioned Data
Vaidya, J., & Clifton, C. (2005) · Lecture Notes in Computer Science · doi:10.1007/11535706_11 · Cited by 144
Privacy-Preserving Electrocardiogram Monitoring for Intelligent Arrhythmia Detection
Son, J., Park, J., Oh, H., Bhuiyan, M., Hur, J., & Kang, K. (2017) · Sensors · doi:10.3390/s17061360 · Cited by 25
Metadata
- Authors
- Goldreich, O.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2004-05-10
- OpenAlex
- W2233233025
- Cited by
- 1,805
- References
- 0
- FWCI
- 25.77
- Type
- book
- Language
- en
- Open access
- closed
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