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

Pranav Shrivastava, Bashir Alam, Mansaf Alam
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摘要

如今,由于信息传输呈指数级增长,对云计算的需求与日俱增。即使采取了安全措施来保护存储在云中的数据,网络犯罪分子仍在锲而不舍地破坏云环境。为应对这一挑战,需要一种增强型身份验证方法来提高安全性。为了保护云环境中的用户隐私和匿名性,本研究提出了一种名为基于超椭圆曲线的匿名环签名(HCARS)的新技术。此外,区块链技术被用来安全地记录时间戳和加密密钥。区块链系统中的散列函数采用了 SHA 256 和 SHA 512 算法。此外,利用带误差环学习(RLWE)问题,基于 Nth 度截断多项式环单元(NTRU)的全同态加密(NTRU-FHE)方案可加密敏感数据并确保其完整性。通过利用 Java 进行实验验证,对所提出的方法和现有方法进行了比较研究。结果表明,所提出的方法优于现有技术,在输入大小为 75 的情况下,加密时间为 6.75 秒,在输入大小相同的情况下,解密时间为 5.128 秒。同样,100 条接收信息的签名生成时间为 125 毫秒,450 个数据块的数据块生成时间为 10.8 秒,16,384 条记录的吞吐量为 98 MB/秒,20 条信息的总计算时间为 403 毫秒。结果表明,HCARS 方法性能优越,大大缩短了加密、解密和签名生成时间,提高了吞吐量和计算效率。在 HCARS 方法的帮助下,面对不断变化的网络威胁,云系统的安全和隐私保护变得更加容易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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.

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