一个生物启发的模型,在云存储中提供数据安全

N. Hitaswi, K. Chandrasekaran
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引用次数: 8

摘要

对云计算的需求正在迅速增长,因为它为客户提供了一些优势,如按使用付费、自服务、弹性、资源共享、易用性和可访问性。由于该技术使用量的增加,存储在云上的数据的安全性受到损害的可能性很大。使用这项技术的主要障碍是随之而来的安全问题。这增加了对健壮的安全机制的需求,以保护云上的数据。为了克服云计算的这一缺点,对存储在云上的数据进行加密是解决方案之一。作为本文的一部分,本文提出了一种提高云存储数据安全性的安全机制。所使用的安全机制受到生物启发的遗传算法的启发。提出的安全模型背后的灵感是遗传算法和基于属性的加密的融合。根据提出的方法,数据在存储在云上之前需要加密。这样,云服务提供商就不会意识到所存储的数据,即使数据泄露给了某些第三方,也不会发生信息泄露。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A bio-inspired model to provide data security in cloud storage
The demand for cloud computing is increasing rapidly because of the advantages it provides to the customers like, pay as you use, self-serving, elastic, sharing of resources, ease of use, and accessibility. Due to the increase in the usage of the technology, there exists a high chance of compromising the security of the data being stored on the cloud. The major hindrance in the usage of the technology is the security concerns which accompany it. This increases the demand for a robust security mechanism to protect the data on the cloud. So as to overcome this drawback of cloud computing, encrypting the data to be stored on the cloud is one of the solutions. As part of this paper, a security mechanism to improve the security of data in cloud storage is suggested. The security mechanism used is inspired by the bio-inspired genetic algorithm. The inspiration behind the proposed security model is an amalgamation of genetic algorithm and attribute based encryption. As per the methodology proposed the data need to be encrypted before being stored on the cloud. This way the cloud service provider is unaware of the data being stored and even if the data is compromised to some third party, there is no information leakage.
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