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Compressing Encrypted Data: Achieving Optimality and Strong Secrecy via Permutations
- Source :
- IEEE Transactions on Information Theory. 62:7153-7163
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- In a system that performs both encryption and lossy compression, the conventional way is to compress first and then encrypt the compressed data. This separation approach has been proved to be optimal. In certain applications where sensitive information should be protected as early as possible, it is preferable to perform the encryption first and then compress the encrypted data, which leads to the concept of the reversed system. Johnson et al. proposed an achievable scheme for the reversed system, where a modulo-sum encryption is followed by a compression using the Wyner–Ziv distributed source coding with side information. However, in general, this reversed system performs worse than the conventional system in the sense that it requires more compression rate and secrecy key rate. In this paper, we propose a new achievable scheme for the reversed system, where the encryption is conducted by a permutation cipher, and then, the encrypted data is compressed using the optimal rate-distortion code. The proposed scheme can achieve the optimal compression rate and secret key rate. As a result, we show that reversing the order of the encryption and compression does not necessarily compromise the performance of an encryption-compression system. We show that the proposed system attains strong secrecy, and the information leakage vanishes exponentially.
- Subjects :
- Theoretical computer science
business.industry
020206 networking & telecommunications
Data compression ratio
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Library and Information Sciences
Encryption
computer.software_genre
Computer Science Applications
Multiple encryption
Filesystem-level encryption
Probabilistic encryption
Computer Science::Multimedia
0202 electrical engineering, electronic engineering, information engineering
40-bit encryption
020201 artificial intelligence & image processing
Link encryption
On-the-fly encryption
business
Algorithm
computer
Computer Science::Cryptography and Security
Information Systems
Mathematics
Subjects
Details
- ISSN :
- 15579654 and 00189448
- Volume :
- 62
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Information Theory
- Accession number :
- edsair.doi...........f3e2f8518e687316b028d28468ce5b79