基于魔方算法和密钥分发中心的安全点对点图像共享

IF 1.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Aswani Kumar Cherukuri, Shria Sannuthi, Neha Elagandula, Rishita Gadamsetty, Neha Singh, Arnav Jain, I. Sumaiya Thaseen, V. Priya, Annapurna Jonnalagadda, Firuz Kamalov
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引用次数: 0

摘要

在这项工作中,我们建立了一个点对点图像加密算法的实现:“魔方算法”。该算法利用像素级置乱和基于xor的扩散,通过对称密钥实现。实证分析表明,该算法具有密钥空间大、安全性高、模糊度高、速度快等优点,有助于在不安全的信道上实现图像的安全传输。但是,基本方法的缺点是需要在客户端(在节点上)处理密钥生成,并且由于动态生成密钥,该过程非常耗时。我们的工作通过引入密钥分发中心(KDC)来分发用于传输的对称密钥、提高机密性并减少节点上的密钥生成开销来解决这些问题。提出了三种利用KDC的方法:将维度与KDC通信以生成密钥;将任何映像标准化为固定维度以标准化密钥生成;最后,使用循环迭代的单个会话密钥来模拟不同的维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Secure Peer-to-Peer Image Sharing Using Rubik’s Cube Algorithm and Key Distribution Centre
Abstract In this work, we build upon an implementation of a peer-to-peer image encryption algorithm: “Rubik’s cube algorithm”. The algorithm utilizes pixel-level scrambling and XOR-based diffusion, facilitated through the symmetric key. Empirical analysis has proven this algorithm to have the advantage of large key space, high-level security, high obscurity level, and high speed, aiding in secure image transmission over insecure channels. However, the base approach has drawbacks of key generation being handled client-side (at nodes) and the process is time-consuming due to dynamically generating keys. Our work solves these issues by introducing a Key Distribution Center (KDC) to distribute symmetric keys for transmission, increasing confidentiality, and reducing key-generation overhead on nodes. Three approaches utilizing the KDC are presented, communicating the dimensions with KDC to generate keys, standardizing any image to fixed dimensions to standardize key-generation, and lastly, using a single session key which is cyclically iterated over, emulating different dimensions.
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来源期刊
Cybernetics and Information Technologies
Cybernetics and Information Technologies COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.20
自引率
25.00%
发文量
35
审稿时长
12 weeks
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