{"title":"利用区块链辅助环基同态加密进行匿名身份验证,提高云计算安全性","authors":"Pranav Shrivastava, Bashir Alam, Mansaf Alam","doi":"10.1007/s10586-024-04617-x","DOIUrl":null,"url":null,"abstract":"<p>Nowadays, the need for cloud computing has increased due to the exponential growth in information transmission. Cybercriminals are persistent in their efforts to breach cloud environments, even with security measures in place to protect data stored in the cloud. To address this challenge, an enhanced authentication approach is needed for enhanced security. In order to protect user privacy and anonymity in cloud environments, the study presents a novel technique called Hyperelliptic Curve-based Anonymous Ring Signature (HCARS). Moreover, Blockchain technology is utilized to securely record timestamps and cryptographic keys. The hashing functions in the Blockchain system employ SHA 256 and SHA 512 algorithms. Furthermore, utilizing Ring Learning with Error (RLWE) problems, an Nth degree Truncated Polynomial Ring Units (NTRU)-Based Fully Homomorphic Encryption (NTRU-FHE) Scheme encrypts sensitive data and ensures its integrity. A comparative study between the proposed method and current approaches is done through experimental verification utilizing Java. The results demonstrate that the proposed approach outperforms existing techniques, achieving an encryption time of 6.75 s for an input size of 75 and a decryption time of 5.128 s for the same input size. Similarly, the signature generation time is 125 ms for 100 received messages, block generation time of 10.8 s for 450 blocks, throughput of 98 MB/sec for a record size of 16,384, and total computational time of 403 ms for 20 messages. The results demonstrate the superior performance of the HCARS approach, with significantly reduced encryption, decryption, and signature generation times, as well as improved throughput and computational efficiency. Securing the security and privacy of cloud-based systems in the face of changing cyber threats has been made much easier with the help of the HCARS approach.</p>","PeriodicalId":501576,"journal":{"name":"Cluster Computing","volume":"355 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An anonymous authentication with blockchain assisted ring-based homomorphic encryption for enhancing security in cloud computing\",\"authors\":\"Pranav Shrivastava, Bashir Alam, Mansaf Alam\",\"doi\":\"10.1007/s10586-024-04617-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Nowadays, the need for cloud computing has increased due to the exponential growth in information transmission. Cybercriminals are persistent in their efforts to breach cloud environments, even with security measures in place to protect data stored in the cloud. To address this challenge, an enhanced authentication approach is needed for enhanced security. In order to protect user privacy and anonymity in cloud environments, the study presents a novel technique called Hyperelliptic Curve-based Anonymous Ring Signature (HCARS). Moreover, Blockchain technology is utilized to securely record timestamps and cryptographic keys. The hashing functions in the Blockchain system employ SHA 256 and SHA 512 algorithms. Furthermore, utilizing Ring Learning with Error (RLWE) problems, an Nth degree Truncated Polynomial Ring Units (NTRU)-Based Fully Homomorphic Encryption (NTRU-FHE) Scheme encrypts sensitive data and ensures its integrity. A comparative study between the proposed method and current approaches is done through experimental verification utilizing Java. The results demonstrate that the proposed approach outperforms existing techniques, achieving an encryption time of 6.75 s for an input size of 75 and a decryption time of 5.128 s for the same input size. Similarly, the signature generation time is 125 ms for 100 received messages, block generation time of 10.8 s for 450 blocks, throughput of 98 MB/sec for a record size of 16,384, and total computational time of 403 ms for 20 messages. The results demonstrate the superior performance of the HCARS approach, with significantly reduced encryption, decryption, and signature generation times, as well as improved throughput and computational efficiency. Securing the security and privacy of cloud-based systems in the face of changing cyber threats has been made much easier with the help of the HCARS approach.</p>\",\"PeriodicalId\":501576,\"journal\":{\"name\":\"Cluster Computing\",\"volume\":\"355 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10586-024-04617-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10586-024-04617-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An anonymous authentication with blockchain assisted ring-based homomorphic encryption for enhancing security in cloud computing
Nowadays, the need for cloud computing has increased due to the exponential growth in information transmission. Cybercriminals are persistent in their efforts to breach cloud environments, even with security measures in place to protect data stored in the cloud. To address this challenge, an enhanced authentication approach is needed for enhanced security. In order to protect user privacy and anonymity in cloud environments, the study presents a novel technique called Hyperelliptic Curve-based Anonymous Ring Signature (HCARS). Moreover, Blockchain technology is utilized to securely record timestamps and cryptographic keys. The hashing functions in the Blockchain system employ SHA 256 and SHA 512 algorithms. Furthermore, utilizing Ring Learning with Error (RLWE) problems, an Nth degree Truncated Polynomial Ring Units (NTRU)-Based Fully Homomorphic Encryption (NTRU-FHE) Scheme encrypts sensitive data and ensures its integrity. A comparative study between the proposed method and current approaches is done through experimental verification utilizing Java. The results demonstrate that the proposed approach outperforms existing techniques, achieving an encryption time of 6.75 s for an input size of 75 and a decryption time of 5.128 s for the same input size. Similarly, the signature generation time is 125 ms for 100 received messages, block generation time of 10.8 s for 450 blocks, throughput of 98 MB/sec for a record size of 16,384, and total computational time of 403 ms for 20 messages. The results demonstrate the superior performance of the HCARS approach, with significantly reduced encryption, decryption, and signature generation times, as well as improved throughput and computational efficiency. Securing the security and privacy of cloud-based systems in the face of changing cyber threats has been made much easier with the help of the HCARS approach.