公共云智能入口生成访客图像的安全存储与共享

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rajashree Soman, R. Sukumar
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引用次数: 3

摘要

入口的访客验证会生成大量的图像文件,这些文件需要传输到云端以供将来参考。图像数据需要受到主动和被动攻击者的保护,以防止对这些数据进行加密攻击。在提供图像数据供将来使用之前,还需要对其进行身份验证。该方法以可靠、安全的图像共享为重点,构建了一种新型的云平台,旨在提供安全的公有云存储。本文的主要目标是提供一种使用加密算法在云上安全存储和传输图像数据的新方法。为了克服现有系统的缺陷,提出了一种利用BigchainDB存储图像属性的新方法,该方法具有区块链技术和传统数据库的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Storage and Sharing of Visitor Images Generated by Smart Entrance on Public Cloud
Visitor validation at entrance generates a large number of image files that need to be transmitted over to cloud for future reference. The image data needs to be protected by active and passive adversaries from performing cryptographic attacks on these data. The image data also needs to be authenticated before giving it for future use. Focusing on reliable and secure image sharing, the proposed method involves building a novel cloud platform, which aims to provide a secure storage in the public cloud. The main objective of this paper is to provide a new way of secure image data storage and transmission on cloud using cryptographic algorithms. To overcome the flaws in current system, a novel method using BigchainDB, which has advantages of blockchain technology and traditional database, is proposed for storing attributes of image.
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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