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Proposed AES Java Coding Dynamically Optimizing The Risk On Operating System-I

Authors: Dr. Prashant Kumar Patra; Pradhan, Padma Lochan;

Proposed AES Java Coding Dynamically Optimizing The Risk On Operating System-I

Abstract

The increased of the use of computer & communications system by IT industries has increased the risk of theft of proprietary information. Advanced Encryption Standard (Encryption) 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( S ). AES Control will be optimize the risk as well as improve the IS standard. Control is directly proportional to mitigation & mitigation is directly proportional to standard. Encryption Key length(AES-E) is inversely proportional to the Risk. 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). Further more, the method & mechanism optimize the cost, time & resources is supposed to reduce the system risks. Java based codeing would be update the value of Processor, Memory & Encryption key dynamically as per business requirement and availability of technology & resources. Proposed Java based program is going to be optimizing risk and maximizing the performance.

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Keywords

PC-Preventive Control, PC-Preventive Control, DC-Corrective Control, CC-Corrective Control, CKM-Cryptographic Key Management. AES: Advanced Encryption Standard. CPU: Central Processing Unit.ROI-Return on Investment, SSH – Secure Shell, TCO-Total Cost Ownership, RM-Risk Mitigation.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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