用于在计算机应用中应用数据的联合模式:通过合并RSA、AES和CP-ABE来保护云计算中的数据的安全混合模式

Zakria Mahrousa, Mahmoud Rahhal, Nairouz Alzin Zakria Mahrousa, Mahmoud Rahhal, Nairouz Alzin
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引用次数: 0

摘要

云医疗保健系统代表了云计算的一个重要应用,因为它使用云来存储患者医疗数据并在医疗保健服务提供商和患者之间共享这些数据,使得电子医疗系统数据的安全性和隐私性成为研究人员关注的主要问题。本文提出了一种云计算医疗保健系统的集成安全模型,将AES和RSA两种算法与访问控制算法CP-ABE相结合,以发挥其各自的优势,实现通过云计算传输数据的安全性和保密性,其中加密过程由基于RSA算法、XOR参数和AES算法的算法完成;AES算法的保密性通过生成一个动态密钥来提高,这个密钥的保密性通过两个加密级别来保证,第一级使用CP-ABE算法,第二级使用RSA算法。该模型能够同时满足发送端和接收端对访问控制、身份验证和验证的要求,应用结果证明该模型能够以最短的实施时间满足云计算环境下医疗保健系统的安全需求,因为执行时间在发送端(43.2,43.83,45.11,48)。对于不同大小的文件(37、50、100、150、200、256、512、1000和1024)KB,分别为23、50.77、52.16、57.95、63.2和63.35)ms。研究结果还表明,该方法在云计算中的安全需求和所研究的参考模型所需的实现时间方面具有优势。
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Hybrid Secure Model for Securing Data in The Cloud Computing System by Combining RSA, AES and CP-ABE: نموذج هجين آمن لحماية البيانات في الحوسبة السحابية بدمج RSA وAES وCP-ABE
The cloud healthcare system represents an important application for cloud computing, as it uses the cloud for the operations of storing patient medical data and sharing it between health care service providers and patients, making the security and privacy of e-health system data the main concern of researchers. This paper presents an integrated secure model for the healthcare system in cloud computing that achieves the security and confidentiality of data transferred through cloud computing, by combining the two algorithms AES and RSA with the access control algorithm CP-ABE in order to use the advantages of each of them, where the encryption process is done by a proposed algorithm which is based on the RSA algorithm, the XOR parameter, and the AES algorithm; the secrecy of the AES algorithm has been increased by generating a dynamic key, and the confidentiality of this key has been secured with two encryption levels, the first level using the CP-ABE algorithm and the second level using the RSA algorithm. The proposed model is characterized by meeting the requirements of access control, authentication, and verification for both the transmitter and the receiver, and the results of the application of this model proved its ability to meet the security requirements of the health care system in cloud computing with the lowest possible implementation time, as the execution times were at the transmitter's end (43.2, 43.83, 45.11, 48. 23, 50.77, 52.16, 57.95, 63.2, and 63.35)ms for variable file sizes (37, 50, 100, 150, 200, 256, 512, 1000, and 1024)KB, respectively. The results also showed its superiority in terms of security requirements in cloud computing and the necessary implementation times on studied reference models.
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