文章基本信息

标题：A Key-Ordered Decisional Learning Parity with Noise (DLPN) Scheme for Public Key Encryption Scheme in Cloud Computing
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作者：Tarasvi Lakum ; B.Thirumala Rao
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：11
DOI：10.14569/IJACSA.2019.0101121
出版社：Science and Information Society (SAI)
摘要：The variation of decisional learning parity with noise (DLPN) named as key-Ordered DLPN based security algorithm is presented in this work. The proposed scheme uses DLPN by extending it to an even-odd-order scheme, depend on the value of probability distribution of odd and even bits for encryption, where odd and even bits are the input integer values for key generation algorithm. This states that the probability distribution of odd and even bits are ordered based on the key generation, the process of odd and even bits resolving is the solution of DLPN attacker problems, thus, the proposed scheme provides more correctness and security proof. Through the learning parity with noise (LPN), DLPN and RSA algorithms, the proposed system is evaluated, to measure the encryption time, public key and ciphertext bits.
关键词：LPN; DLPN; RSA; key-ordered; time