An Integrated RFOS Model for Risk Assessment on Real Time Operating System

Prashant Kumar Patra and Padma Lochan Pradhan
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Prashant Kumar Patra: Department of Computer Science and Engineering, Biju Patnaik University of Technology (BPUT), Bhubaneswar, Odisha, India
Padma Lochan Pradhan: Department of Computer Science and Engineering, Central Institute of Technology, Naya Raipur, Chhattisgarh, India

International Journal of Strategic Information Technology and Applications (IJSITA), 2014, vol. 5, issue 2, 27-43

Abstract: The preventive control is the one of the best and well advanced control in all aspects of day to day life. The prevention afforded to an automated system control system in order to attain the highest applicable objectives of preserving the confidentiality, integrity and high availability of information system resources (including hardware, system software, firmware, processor, memory and data).The risk assessment is the process of identifying vulnerabilities and threats to operating system resources to achieving highest business objectives and deciding what counter measures to take in reducing the lowest level of risk. The proposed RFOS model and mechanism provides accountability for individuals who are accessing sensitive information on application, system software, server and network. This accountability is accomplished through access control mechanisms that require Confidentiality, Integrity, Authentication, Access control, Non repudiation, Availability and Privacy through operating system audit function. We have to develop the dynamic RFOS model for risk optimization process on operating system. This paper contributes to the development of an optimization mechanism that aims to determine the optimal cost to be invested into security model and mechanisms deciding on the measure component of operating system resources (i.e. Processor, Memory, File System, Kernel). Furthermore, this algebraic model and mechanism optimize the cost, time and resources is supposed to optimize the system risks. The control is inversely proportional to the risk and control is directly proportional to the standard. In this research paper, we are proposing integrated, hierarchical and dynamic way of Relation, Function, Operation and Services Model for optimizing the risk on the real time operating system. Preventive Control is inversely proportional to the Risk and directly proportional to the Quality.

Date: 2014
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