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</script>A new probabilistic model of data encryption is introduced. For this model, under suitable complexity assumptions, it is proved that extracting any information about the cleartext from the cyphertext is hard on the average for an adversary with polynomially bounded computational resources. The proof holds for any message space with any probability distribution. The first implementation of this model is presented. The security of this implementation is proved under the intractability assumption of deciding Quadratic Residuosity modulo composite numbers whose factorization is unknown.
cryptography, Computer Networks and Communications, Analysis of algorithms and problem complexity, Applied Mathematics, security, Theoretical Computer Science, probabilistic model of data encryption, Computational Theory and Mathematics, Cryptography, implementation
cryptography, Computer Networks and Communications, Analysis of algorithms and problem complexity, Applied Mathematics, security, Theoretical Computer Science, probabilistic model of data encryption, Computational Theory and Mathematics, Cryptography, implementation
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2K | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.01% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.01% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
