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Dynamic Semi-Group CIA Pattern Optimizing the Risk on RTS

Dynamic Semi-Group CIA Pattern Optimizing the Risk on RTS

Padma Lochan Pradhan
Copyright: © 2017 |Volume: 9 |Issue: 1 |Pages: 20
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781522512271|DOI: 10.4018/IJDCF.2017010104
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MLA

Pradhan, Padma Lochan. "Dynamic Semi-Group CIA Pattern Optimizing the Risk on RTS." IJDCF vol.9, no.1 2017: pp.51-70. http://doi.org/10.4018/IJDCF.2017010104

APA

Pradhan, P. L. (2017). Dynamic Semi-Group CIA Pattern Optimizing the Risk on RTS. International Journal of Digital Crime and Forensics (IJDCF), 9(1), 51-70. http://doi.org/10.4018/IJDCF.2017010104

Chicago

Pradhan, Padma Lochan. "Dynamic Semi-Group CIA Pattern Optimizing the Risk on RTS," International Journal of Digital Crime and Forensics (IJDCF) 9, no.1: 51-70. http://doi.org/10.4018/IJDCF.2017010104

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Abstract

The preventive control is one of the best well advance control for recent complex IS Security Application to protect the data and services from the uncertainty, hacker, and unauthorized users. Now, increasing the demand and importance of business, information & communication system & growing the external risks is a very common phenomenon for everywhere. The RTS security put forward to the management focus on IT infrastructure. This work contributes to the development of an optimization pattern that aims to determine the optimal cost to be apply into security mechanisms deciding on the measure components of system security and resources. The author's mechanism should be design in such way, the Confidentiality, Integrity, Availability, Authenticity and Accountability are automatically PDC for all the time. The author has to optimize the system attacks and down time by implementing semi-group structure CIA pattern, mean while improving the throughput of the Business, Resources & Technology. Finally, the author has to maximize the protection of IT resources & Services for all the time and every time. This proposed CIA Pattern is the part of protection, detection, benchmarking, fault analysis and risk assessment of real time operating system and applicable to efficient resource management on web application.

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