Proposed Isomorphic Graph Model for Risk Assessment on a Unix Operating System

Proposed Isomorphic Graph Model for Risk Assessment on a Unix Operating System

Prashant Kumar Patra, Padma Lochan Pradhan
ISBN13: 9781466684737|ISBN10: 1466684739|EISBN13: 9781466684744
DOI: 10.4018/978-1-4666-8473-7.ch022
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MLA

Patra, Prashant Kumar, and Padma Lochan Pradhan. "Proposed Isomorphic Graph Model for Risk Assessment on a Unix Operating System." Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2015, pp. 456-469. https://doi.org/10.4018/978-1-4666-8473-7.ch022

APA

Patra, P. K. & Pradhan, P. L. (2015). Proposed Isomorphic Graph Model for Risk Assessment on a Unix Operating System. In I. Management Association (Ed.), Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications (pp. 456-469). IGI Global. https://doi.org/10.4018/978-1-4666-8473-7.ch022

Chicago

Patra, Prashant Kumar, and Padma Lochan Pradhan. "Proposed Isomorphic Graph Model for Risk Assessment on a Unix Operating System." In Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 456-469. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8473-7.ch022

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Abstract

Control and risk are the two parts of the coin. Risk assessment is the process of identifying uncertainties, vulnerabilities and threats to the operating system resources in order to achieve business objectives. Risk evaluation involved deciding what counter measures to take in reducing uncertainty to the lowest level of risk. Control is probably the most important aspect of communications security and becoming increasingly important as basic building block for system security. Advanced Encryption Standard (AES) is a primary method of protecting system resources. AES is inversely proportional to the Risk (C=K/R) & mean while control is directly proportional to the quality of standard. AES Control will be optimize the risk as well as improve the IS standard. Control is directly proportional to risk mitigation & mitigation is directly proportional to standard. This paper contributes to the development of an optimization method that aims to determine the optimal cost to be invested into security method, model & mechanisms deciding on the measure component of operating system resources (i.e. Processor, Memory & Encryption). Furthermore, the method & mechanism optimize the cost, time & resources is supposed to optimize the system risks. The proposed model would be update the value of Processor, Memory & Encryption key dynamically as per business requirement and availability of technology & resources. Proposed model is going to be optimizing risk and maximizing the performance. In this study the researchers develop an isomorphic graph model for optimizing risk in the Unix operating system.

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