Augmented security scheme for shared dynamic data with efficient lightweight elliptic curve cryptography

Q4 Computer Science
Dipa Dharmadhikari, Sharvari Chandrashekhar Tamane
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引用次数: 0

Abstract

Technology for Cloud Computing (CC) has advanced, so Cloud Computing creates a variety of cloud services. Users may receive storage space from the provider as Cloud storage services are quite practical; many users and businesses save their data in cloud storage. Data confidentiality becomes a larger risk for service providers when more information is outsourced to Cloud storage. Hence in this work, a Ciphertext and Elliptic Curve Cryptography (ECC) with Identity-based encryption (CP-IBE) approaches are used in the cloud environment to ensure data security for a healthcare environment. The revocation problem becomes complicated since characteristics are used to create cipher texts and secret keys; therefore, a User revocation algorithm is introduced for which a secret token key is uniquely produced for each level ensuring security. The initial operation, including signature, public audits, and dynamic data, are sensible to Sybil attacks; hence, to overcome that, a Sybil Attack Check Algorithm is introduced, effectively securing the system. Moreover, the conditions for public auditing using shared data and providing typical strategies, including the analytical function, security, and performance conditions, are analyzed in terms of accuracy, sensitivity, and similarity.
基于高效轻量级椭圆曲线密码的共享动态数据增强安全方案
云计算技术(CC)已经取得了进步,因此云计算创建了各种云服务。用户可以从提供商那里获得存储空间,因为云存储服务非常实用;许多用户和企业将数据保存在云存储中。当更多的信息外包给云存储时,数据保密性对服务提供商来说成为一个更大的风险。因此,在这项工作中,在云环境中使用密文和椭圆曲线加密(ECC)以及基于身份的加密(CP-IBE)方法来确保医疗保健环境的数据安全。由于特征用于创建密文和密钥,因此撤销问题变得复杂;因此,引入了一种用户撤销算法,该算法为每个级别生成唯一的令牌密钥,以确保安全性。签名、公共审计、动态数据等初始操作对Sybil攻击是敏感的;因此,为了克服这个问题,引入了Sybil攻击检查算法,有效地保护了系统。此外,还从准确性、灵敏度和相似性方面分析了使用共享数据和提供典型策略的公共审计条件,包括分析功能、安全性和性能条件。
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来源期刊
Sistemni Doslidzena ta Informacijni Tehnologii
Sistemni Doslidzena ta Informacijni Tehnologii Computer Science-Computational Theory and Mathematics
CiteScore
0.60
自引率
0.00%
发文量
22
审稿时长
52 weeks
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