SecMed: A Secure Approach for Proving Rightful Ownership of Medical Images in Encrypted Domain over Cloud

Aishwarya Pandey, Priyanka Singh, Nishant Agarwal, B. Raman
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引用次数: 4

Abstract

The wide attacking surface of the public cloud poses threats to the security of sensitive information such as medical information stored at these distributed cloud data centers. Obscuring this information using traditional encryption schemes would limit the processing capabilities in encrypted domain that are provided via various cloud services. Moreover, it is vital to address the issue of rightful ownership so that the person to which the medical information belongs to can be determined. To address these issues, Chinese Remainder Theorem (CRT) based secret sharing scheme has been employed to divide the medical images into multiple random looking shares which are information theoretically secure and reveal no information about the images. Based on a secret key, some of these encrypted shares are embedded with the secret owner specific information in the encrypted domain itself prior to outsourcing. To prove rightful ownership at the receiver end, this secret information can be extracted either directly from the shares stored at the cloud data centers or obtained after recovery of the medical information at the authentic entity end which possesses the secret keys. The robustness of the scheme against different attack scenarios while stored at the cloud,,,, data centers in encrypted domain has been tested to validate the efficacy of the proposed scheme.
SecMed:一种在云上加密域证明医学图像合法所有权的安全方法
公共云广泛的攻击面对存储在这些分布式云数据中心的敏感信息(如医疗信息)的安全构成了威胁。使用传统加密方案掩盖这些信息将限制通过各种云服务提供的加密域中的处理能力。此外,必须解决合法所有权问题,以便确定医疗信息的所有者。为了解决这些问题,采用基于中国剩余定理(CRT)的秘密共享方案,将医学图像随机分成多个共享,这些共享在理论上是信息安全的,并且不泄露图像的任何信息。基于一个秘密密钥,在外包之前,这些加密共享中的一些与秘密所有者特定的信息嵌入到加密域本身中。为了证明接受方的合法所有权,可以直接从存储在云数据中心的共享中提取该秘密信息,也可以在拥有密钥的真实实体端恢复医疗信息后获得该秘密信息。该方案存储在加密域的云,,,,数据中心中,对不同攻击场景的鲁棒性进行了测试,验证了该方案的有效性。
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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