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首页> 外文期刊>Computer Communications >Suppressed K-Anonymity Multi-Factor Authentication Based Schmidt-Samoa Cryptography for privacy preserved data access in cloud computing
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Suppressed K-Anonymity Multi-Factor Authentication Based Schmidt-Samoa Cryptography for privacy preserved data access in cloud computing

机译：抑制基于k-匿名的多因素认证的基于云计算的施密特 - 萨摩亚加密，保留了云计算中的数据访问

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摘要

Security and privacy-preservation is a significant problem to be solved in the cloud when accessing data services. The existing authentication technique verifies the client identity using single authentication factor. But, the performance of conventional single factor authentication technique is not efficient since the client's sensitive information is highly intrusive and exposed to third parties. In order to overcome these limitations, a novel multifactor authentication called Suppressed K-Anonymity Multi-Factor Authentication Based SchmidtSamoa Cryptography (SKMA-SC) technique is proposed. The SKMA-SC technique comprises three key processes namely registration, authentication and data access. During the registration phase, the clients register their personal identification information's and securely stores it in the cloud server (CS) with support of suppression method. This helps for SKMA-SC technique to preserve the client sensitive information's from adversaries or third parties in a cloud environment. During the authentication phase, SKMA-SC technique validates the identity of clients by considering multifactor such as password, one-time token and conditional attributes. At last in the data access phase, SKMA-SC technique allows the clients to get requested data services when she or he is authorized by performing Schmidt-Samoa data encryption/decryption process. From that, SKMA-SC technique avoids illegal access from the unauthorized party over insecure communications in a cloud environment with a lower amount of time. Result analysis of SKMA-SC technique is carried out with the metrics authentication accuracy (AA), computational complexity (CC) and privacy-preserving rate (PPR) with different number of clients and cloud data. The experimental result proves that SKMA-SC technique enhances the PPR and lessens the CC of authentication as evaluated with state-of-the-art works.
机译：安全性和隐私保留是在访问数据服务时在云中解决的重要问题。现有身份验证技术使用单个认证因素验证客户端标识。但是，由于客户的敏感信息是高度侵扰和暴露于第三方，传统单因素认证技术的性能并不高效。为了克服这些限制，提出了一种新的多因素认证，被称为抑制的k-匿名多因素基于施密特加密（SKMA-SC）技术。 SKMA-SC技术包括三个密钥流程即注册，身份验证和数据访问。在注册阶段，客户端将其个人识别信息注册并在云服务器（CS）中，以支持抑制方法将其牢固地存储。这有助于SKMA-SC技术，以保护客户敏感信息从云环境中的对手或第三方。在认证阶段，SKMA-SC技术通过考虑密码，一次性令牌和条件属性，验证客户端的身份。最后在数据访问阶段，SKMA-SC技术允许客户端通过执行Schmidt-Samoa数据加密/解密过程时获得所请求的数据服务。从此，SKMA-SC技术避免非法访问未经授权的缔约方在云环境中的不安全通信，其余程度较少。利用不同数量的客户端和云数据和云数据，对SKMA-SC技术进行SKMA-SC技术的结果分析..使用不同数量的客户端和云数据，进行了指标认证精度（AA），计算复杂度（CC）和隐私保留率（PPR）。实验结果证明，SKMA-SC技术增强了PPR，减少了用最先进的作品评估的认证的CC。

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