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Two Layer Symmetric Cryptography Algorithm for Protecting Data from Attacks
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作者 Muhammad Nadeem Ali Arshad +3 位作者 Saman Riaz Syeda Wajiha Zahra Shahab SBand Amir Mosavi 《Computers, Materials & Continua》 SCIE EI 2023年第2期2625-2640,共16页
Many organizations have insisted on protecting the cloud server from the outside,although the risks of attacking the cloud server are mostly from the inside.There are many algorithms designed to protect the cloud serv... Many organizations have insisted on protecting the cloud server from the outside,although the risks of attacking the cloud server are mostly from the inside.There are many algorithms designed to protect the cloud server from attacks that have been able to protect the cloud server attacks.Still,the attackers have designed even better mechanisms to break these security algorithms.Cloud cryptography is the best data protection algorithm that exchanges data between authentic users.In this article,one symmetric cryptography algorithm will be designed to secure cloud server data,used to send and receive cloud server data securely.A double encryption algorithm will be implemented to send data in a secure format.First,the XOR function will be applied to plain text,and then salt technique will be used.Finally,a reversing mechanism will be implemented on that data to provide more data security.To decrypt data,the cipher text will be reversed,salt will be removed,andXORwill be implemented.At the end of the paper,the proposed algorithm will be compared with other algorithms,and it will conclude how much better the existing algorithm is than other algorithms. 展开更多
关键词 CRYPTOGRAPHY symmetric algorithm ENCRYPTION DECRYPTION cipher text cloud security asymmetric algorithm
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Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular steel frames 被引量:6
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作者 Mohammad Sadegh ES-HAGHI Aydin SHISHEGARAN Timon RABCZUK 《Frontiers of Structural and Civil Engineering》 SCIE EI CSCD 2020年第5期1110-1130,共21页
We propose a new algorithm,named Asymmetric Genetic Algorithm(AGA),for solving optimization problems of steel frames.The AGA consists of a developed penalty function,which helps to find the best generation of the popu... We propose a new algorithm,named Asymmetric Genetic Algorithm(AGA),for solving optimization problems of steel frames.The AGA consists of a developed penalty function,which helps to find the best generation of the population.The objective function is to minimize the weight of the whole steel structure under the constraint of ultimate loads defined for structural steel buildings by the American Institute of Steel Construction(AISC).Design variables are the cross-sectional areas of elements(beams and columns)that are selected from the sets of side-flange shape steel sections provided by the AISC.The finite element method(FEM)is utilized for analyzing the behavior of steel frames.A 15-storey three-bay steel planar frame is optimized by AGA in this study,which was previously optimized by algorithms such as Particle Swarm Optimization(PSO),Particle Swarm Optimizer with Passive Congregation(PSOPC),Particle Swarm Ant Colony Optimization(HPSACO),Imperialist Competitive Algorithm(ICA),and Charged System Search(CSS).The results of AGA such as total weight of the structure and number of analyses are compared with the results of these algorithms.AGA performs better in comparison to these algorithms with respect to total weight and number of analyses.In addition,five numerical examples are optimized by AGA,Genetic Algorithm(GA),and optimization modules of SAP2000,and the results of them are compared.The results show that AGA can decrease the time of analyses,the number of analyses,and the total weight of the structure.AGA decreases the total weight of regular and irregular steel frame about 11.1%and 26.4%in comparing with the optimized results of SAP2000,respectively. 展开更多
关键词 optimization steel frame asymmetric Genetic algorithm constraints of ultimate load constraints of serviceability limits penalty function
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Asymmetric pixel confusion algorithm for images based on RSA and Arnold transform
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作者 Xiao-ling HUANG You-xia DONG +1 位作者 Kai-xin JIAO Guo-dong YE 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2020年第12期1783-1794,共12页
We propose a new asymmetric pixel confusion algorithm for images based on the Rivest-Shamir-Adleman(RSA)public-key cryptosystem and Arnold map.First,the RSA asymmetric algorithm is used to generate two groups of Arnol... We propose a new asymmetric pixel confusion algorithm for images based on the Rivest-Shamir-Adleman(RSA)public-key cryptosystem and Arnold map.First,the RSA asymmetric algorithm is used to generate two groups of Arnold transform parameters to address the problem of symmetrical distribution of Arnold map parameters.Second,the image is divided into blocks,and the first group of parameters is used to perform Arnold confusion on each sub-block.Then,the second group of parameters is used to perform Arnold confusion on the entire image.The image correlation is thereby fully weakened,and the image confusion degree and effect are further enhanced.The experimental results show that the proposed image pixel confusion algorithm has better confusion effect than the classical Arnold map based confusion and the row-column exchange based confusion.Specifically,the values of gray difference are close to one.In addition,the security of the new confusion operation is dependent on RSA,and it can act as one part of a confusion-substitution structure in a cipher. 展开更多
关键词 Rivest-Shamir-Adleman(RSA) Arnold map Pixel confusion asymmetric algorithm Image confusion
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