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A Two Level-Security Model for Cloud Computing based on the Biometric Features and Multi-Level Encryption

机译:基于生物特征和多级加密的云计算的两个水平安全模型

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Cloud computing is a well-known subject in IT system and is based on network and computer utilities. Cloud computing is the main source of storage facilities for small, medium and large companies in recent years. Since, many customers look for cloud computing facilities and services, thus the security of information must be guaranteed to give a full confidence for that customer who has trusted to use these facilities and ready to store their valuable information on the cloud computing and distributed networks. The fundamental problem in cloud computing is the security of the stored data.[1] This paper describes the process of storing the images and scanned documents over the cloud by using our proposed security model which is based on the biometric features and multilevel encryption. On the other hand, it will discuss about cloud computing environment, issues and concerns regarding to security, authentication by using biometric features, and new security algorithms and models. The Security algorithms, which are used in this paper, are consisting of the scrambling algorithm and two level encryption methods. In addition, we have proposed two different scenarios that improve the DEPSKY model. Biometrics is the knowledge of setting the identity of an individual related to the inherent physical or attitude characteristics connected with the person. The relationship between the perceived authentication content and perceived content of biometric features is studied. The process of developing the algorithms and the model is documented in the proposed section.
机译:云计算是IT系统中的一个众所周知的主题,并且基于网络和计算机实用程序。云计算是近年来小型,中型和大公司的储存设施主要来源。由于许多客户寻找云计算设施和服务,因此必须保证信息的安全性,为那些可信使用这些设施的客户提供充分的信心,并准备将其有价值的信息存储在云计算和分布式网络上。云计算中的基本问题是存储数据的安全性。[1]本文介绍了通过使用基于生物识别特征和多级加密的建议的安全模型来存储图像和扫描图像和扫描文档的过程。另一方面,它将通过使用生物识别功能和新的安全算法和模型来讨论关于安全性,身份验证的云计算环境,问题和疑虑。本文使用的安全算法包括加扰算法和两个级加密方法。此外,我们提出了改善DEPSKY模型的两种不同情景。生物识别技术是设定与与该人相关的内在物理或姿态特征相关的个人的身份的知识。研究了感知认证内容与生物识别特征的感知内容之间的关系。开发算法和模型的过程在提出的部分中记录。

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