期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：2
页码：398-408
出版社：Journal of Theoretical and Applied
摘要：Cloud computing aims to assist users in remotely preserving their data in a cloud server and protect them from malicious attacks, such as an impersonation attack. In addition, cloud computing gives users the ability to store and process their data in an outsource cloud�s storage. With the rapidly increasing use of medical images with a growing level of detail due to advances in diagnostic medical images, cloud computing is used to store large amounts of medical images. Although the cloud has considerable potential, it has many security challenges, such as data integrity and unauthorised access of entities to cloud resources. This paper aims to solve the issue of ensuring the integrity of medical image data stored in cloud servers. Thus, we propose a robust scheme that uses cryptohash function and k-nearest neighbour (KNN) to obtain the metadata of images stored in the cloud, thereby protecting the medical images owned by users against any editing, deleting or inserting operations performed by an attacker. Our proposed scheme uses KNN to retrieve medical images to ensure their integrity and has robust security and high performance.
