Novel Approach to Data Encryption Based on Matrix Computations

作     者：Rosilah Hassan Selver Pepic Muzafer Saracevic Khaleel Ahmad Milan Tasic 

作者机构：Centre for Cyber SecurityFaculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKMBangi SelangorMalaysia Technical Machine School of Professional StudiesRadoja Krstića 19Trstenik37240Serbia University of Novi PazarDimitrija Tucovića bbNovi Pazar36300Serbia Maulana Azad National Urdu UniversityHyderabadTelangana500032India University of NisVišegradska 33Niš18106Serbia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第66卷第2期

页      面：1139-1153页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：the support of Network Communication Technology(NCT)Research Groups FTSM UKM in providing facilities for this research.This paper is supported under the Dana Impak Perdana UKM DIP-2018-040 and Fundamental Research Grant Scheme FRGS/1/2018/TK04/UKM/02/7 

主　　题：Security data encryption matrix computations cloud computing machine learning 

摘      要：In this paper,we provide a new approach to data encryption using generalized *** is based on the implementation of weighted Moore–Penrose inverse A y MNenxmT over the nx8 constant *** square Hermitian positive definite matrix N8x8 p is the *** proposed solution represents a very strong key since the number of different variants of positive definite matrices of order 8 is *** have provided NIST(National Institute of Standards and Technology)quality assurance tests for a random generated Hermitian matrix(a total of 10 different tests and additional analysis with approximate entropy and random digression).In the additional testing of the quality of the random matrix generated,we can conclude that the results of our analysis satisfy the defined strict *** proposed MP encryption method can be applied effectively in the encryption and decryption of images in multi-party *** the experimental part of this paper,we give a comparison of encryption methods between machine learning *** learning algorithms could be compared by achieved results of classification concentrating on *** a comparative analysis,we give results of classifying of advanced encryption standard(AES)algorithm and proposed encryption method based on Moore–Penrose inverse.