利用关联方案确保图数据安全的图加密-Stego 系统

Anuradha Sabharwal, Pooja Yadav, Kamal Kumar
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引用次数: 0

摘要

为了在不同实体之间安全可靠地传输信息,尤其是当所传输的数据被归类为关键或重要数据时,密码学近来已成为一个需要研究和推进的关键领域。这是由于互联网和其他新型通信技术的使用越来越多。由于云计算和云存储的兴起,许多企业现在都将敏感数据外包给第三方。目前,关键问题是如何加密数据,使其可以存储在不可靠的服务器上,同时又不影响有效使用数据的能力。在本文中,我们利用密码学和隐写术提出了一种图加密方案。使用有限无边群上的关联方案对数据进行加密,然后将加密数据隐藏在随机选择的封面图像后面。我们通过实验实现并评估了我们的构建效率。我们提供了实验结果、统计分析、误差分析和密钥分析,证明了建议技术的适当性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph Crypto-Stego System for Securing Graph Data Using Association Schemes
Cryptography has recently become a critical area to research and advance in order to transmit information safely and securely among various entities, especially when the transmitted data is classified as crucial or important. This is due to the increase in the use of the Internet and other novel communication technology. Many businesses now outsource sensitive data to a third party because of the rise of cloud computing and storage. Currently, the key problem is to encrypt the data such that it may be stored on an unreliable server without sacrificing the ability to use it effectively. In this paper, we propose a graph encryption scheme by using cryptography and steganography. Data is encrypted using association schemes over finite abelian groups and then hiding the encrypted data behind randomly chosen cover image. We implemented and evaluated the efficiency of our constructions experimentally. We provide experimental results, statistical analysis, error analysis, and key analysis that demonstrates the appropriateness and efficiency of the proposed technique.
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