Selective encryption technique in RSA based singular cubic curve with AVK for text based documents: Enhancement of Koyama approach

Abstract

This paper analyzes application of Selective Encryption with Automatic Variable Key (AVK) for text based documents in Koyama Public Key Cryptosystem (PKC). In this paper, a new robust and simple PKC based singular cubic curve cryptosystem over the ring Zn, using selective encryption with Automatic Variable Key (AVK), is proposed. In the proposed algorithm, selected parts of text document are encrypted/decrypted using any public key cryptosystem e.g. RSA algorithm based singular cubic curve with A VK approach. The key is configured every time as Automatic Variable Key. Rest of the plain text after selection is either left as it is and can be encrypted/decrypted using a simple DES (Data Encryption Standard) approach. The balance of computational overhead is projected through the technique of selective encryption with A VK, which increases the speed of encryption/decryption and level of security as well. This paper illustrates how the selective encryption with A VK method increases security, robustness and speed of encryption in Koyama scheme. The enhanced algorithm suitably provides for authorization, authentication and confidentiality. The result obtained indicates increase in speed using selective encryption over the conventional technique. It can be established that the selective encryption has an edge over the existing techniques as far as time complexity is concerned.

Aggregating privatized medical data for secure querying applications

“…The module we propose is designed to maintain the best levels of privacy as discussed in Section 2.2 of Chapter 2, but also to improve on existing data security as well as efficiency by using selective encryption [SS10b], [Bhu06], [VFJ + 10] based on appropriate asymmetric and symmetric encryption techniques. The privacy preserving techniques employed are Salt Generation, Random ID and Random Grouping along with symmetric encryption.…”

An Efficient Solution for Privacypreserving, Secure Remote Access to Sensitive Data

“…The architecture we propose in this paper is designed to maintain the best levels of privacy as discussed in the previous section, but also to improve on existing data security as well as efficiency by using selective encryption [13], [14] based on appropriate asymmetric and symmetric encryption techniques. The privacy-preserving techniques employed are Salt Generation, Random ID and Random Grouping along with symmetric encryption.…”