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2nd International Conference on Computer Science and Software Engineering (CSASE)

作者： Mohammed, Saja J. Taha, Dujan B. Univ Mosul Coll Comp Sci & Math Dept Comp Sci Mosul Iraq Univ Mosul Coll Comp Sci & Math Dept Software Sci Mosul Iraq

ISBN: (纸本)9781665426329

Information security has progressed dramatically over the past century because of the significant advancements in computer and communications research. As a result, numerous scholars have made it their major goal to examine, improve, implement, or compare its methods. Cryptography is one of the most critical information security topics, with many different encryption algorithms, such as symmetric key and public key encryption methods, branching out from it. Homomorphic encryption is a form of encryption that permits mathematical operations on a ciphertext;it has recently become famous for protecting data in the cloud. This paper offers essential knowledge to researchers who may want it before implementing homomorphic/public key methods. It analyses the unpadded RSA, Paillier, and ElGamal public-key algorithms. The evaluation is done according to several criteria, including secrecy, homomorphism property, encryption/decryption time, memory usage, encryption throughput criteria, and how different file sizes and key sizes affect these criteria. The results demonstrate that the three algorithms compete in the analysed criteria. Depending on the application and the required features, any one of the algorithms might be favoured over the other.

关键词： Cryptography public key algorithms RSA Paillier ElGamal homomorphic encryption performance evaluation

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Analysing RSA and PAILLIER homomorphic Property for security in Cloud

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Procedia Computer Science 2022年 215卷 240-246页

作者： Kundan Munjal Rekha Bhatia Research Scholar University College of Engineering Punjabi University Patiala City and 147002 India Associate Professor Department of Computer Science Punjabi University Patiala and 147002 India

One of the critical goals of advanced cryptography is to protect data privacy. Although protecting sensitive data has always been essential, it has become much more due to the widespread use of cloud services. Conventional encryption schemes have one drawback: data must be decrypted before processing. Best practices have long recommended that data must be secured at rest and in motion when using public cloud services, i.e., we need encryption at the storage as well as at processing levels. Homomorphic encryption is an advanced cryptographic approach in which the processing of encrypted data is possible. In this paper, we have presented the insights required for understanding homomorphic encryption approaches. We examined and compared two partial homomorphic techniques, RSA and Pallier algorithm based on efficiency, base method, and homomorphic property.

关键词： Cryptography public key algorithms Homomorphic Encyrption RSA Paillier Partial Homomorphic Encryption

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A New Quick public key Crypto-System Based On the Difficulty of Factoring Very Large Numbers

A New Quick Public Key Crypto-System Based On the Difficulty...

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2001 International Symposium on Distributed Computing and Applications to Business, Engineering and Science

作者： Xiao Youan Li Layuan College of Information Engineering Wuhan University of Technology Wuhan,Hubei,430063.P.R.China

This paper introduces the new Quick public key Crypto System(QPKCS) based on the difficulty of factoring very large *** is a public key crypto-system designed to provide a stronger & faster alternative to the well-known RSA algorithm. Although the key generation process of the new system may be slower than that of a well-known existing system,the new system is much faster in the encryption and decryption *** most notable advantage of the new system is its security *** the key is different for different message blocks,it can reduce the risk of Common Value Detection attack. Some suggests to fast the key generation process by the Parallel Distributed Computing is also discussed.

关键词： public key algorithms Factoring Numbers Euclidean Algorithm Euler Function BK Method

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