Proposed L-Shape Pattern on UFS ACM For Risk Analysis

At this cloud age, there is tremendous growth in business, services, resources, and cloud technology. This growth comes with a risk of unsafe, unordered, and uncertainty due to unauthorized access and theft of confidential propriety data. Our objective is to model around Read, Write and Execute to resolve these unordered, unsafe, and uncertain issues. We will develop a L-Shape pattern model matching UFS ACM to minimize the accessibilities based on RIGHT & ROLE of the resources and maximize the quality of services for safety and high availability. The preventive, detective, corrective (PDC) services are the major roles for all levels of management to coordinate, control the multiple technologies and resources which are working simultaneously. It will be more ordered, accountable, and actionable on real-time access control mechanism for scalabilities, reliability, performance, and high availability of computational services. We have to make safer, certain, unified, and step-by-step normalization by applying this UFS ACM mechanism on UNIX operating system. This proposed research paper covers a wide range of areas covering optimization, normalization, Fuzzy Low, and Risk assessment

The Two secured Factors of Authentication

One of the popular challenges that faces the Cloud Computing is the authentication problem. Authentication is a mechanism to establish proof of identities to get access of information in the system. There are several solutions to overcome this issue that it can be gathered in three authentication mechanisms which lead to a multifactorial authentication schema. The multi factor is proposed in this paper confirms the user's identity without sending it to the cloud server, which will gain our solution more security and fast response over other solutions that depend on sending the user identity to the server to be authenticated. The User's credentials have never exchanged with the server, it is only saved in the user's mind. We present an efficient authentication schema which based on two authentication factors, the first is the password-based authentication, which is processed in the user's machine, and the second is the biometric-based authentication which adds more secure factors to the authentication process. We use the Elgamal Elliptic Curve Cryptosystem and the symmetric encryption to overcome the security threads on the authentication process. Furthermore; we use the 3D face image as a second challenge response factor in our proposed algorithm. In addition, to save the bandwidth and computation, we use a mobile agent to pass the first factor of the authentication code to be executed in the client machine, and let the second factor to be executed in the cloud server