一种基于遗传算法的基于DNA加密的雾网络数据保护技术

D. Garg, K. Bhatia, Sonali Gupta
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引用次数: 5

摘要

智能系统产生的数据是巨大的,因此在云环境中存储和分析它是一个明智的决定。然而,大多数最先进的应用程序要求网络中的网络延迟最小,以便响应可以在几分之一秒内到达用户。为了满足这一需求,雾计算应运而生,数据的计算和分析在雾节点上进行,而不是在云上。在这种情况下,安全性是最受关注的问题,因为每个雾节点和每个生成数据的物联网设备都容易受到攻击。医疗保健等行业尤其需要采取安全措施,因为其中包含患者的可识别信息(PII)。加密是为数据提供安全性的最有效技术之一。有各种各样可用的加密技术,但它们都有一些局限性。本文提出了一种基于遗传科学、分两个阶段工作的新加密技术。在第一阶段,使用复杂的密钥将明文转换为复杂的密文。密钥是从DNA群体中随机选择的,并通过使用逻辑运算符使其更加复杂。在第一阶段获得的密文在第二阶段通过使用交叉和突变的遗传科学原理使其更加难以穿透。仿真和结果表明,与现有的加密技术相比,该技术提供了更高的数据安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel Genetic Algorithm based Encryption Technique for Securing Data on Fog Network Using DNA Cryptography
The data generated by the intelligent systems is enormous, hence storing and analyzing it over the cloud environment is a wise decision. However, most state of the art applications demands minimal network latency in the network so that the response can reach the user within fraction of seconds. To meet this requirement, fog computing came into existence, where computing and analysis of data is carried out at the fog nodes instead at the cloud. In such a scenario, security is of utmost concern since each fog node and each IoT device generating the data is vulnerable to attack. Industries such as healthcare in particular, need to practice security measures because it contains Patient's Identifiable Information (PII). Encryption is one of the most effective techniques to provide security to data. Various encryption techniques are available but they all suffer from some limitations. In this paper, a new encryption technique is proposed, which is based on genetic science and works in two phases. In the first phase, the plaintext is converted to a complex cipher text by making use of a complicated key. The key is randomly selected from the DNA population and is made further complex by using logical operators. The cipher text obtained in the first phase is made more impenetrable in the second phase, by using genetic science principles of crossover and mutation. The simulation and results of the proposed technique indicate that it provides more security to the data as compared to the existing encryption techniques.
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