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

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.

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Three Dimensional Hypercube Model and Mechanism

International Journal of Cloud Applications and Computing ◽

10.4018/ijcac.2015040105 ◽

2015 ◽

Vol 5 (2) ◽

pp. 62-79

Author(s):

Prashant Kumar Patra ◽

Padma Lochan Pradhan

Keyword(s):

Operating System ◽

Access Control ◽

Large Scale ◽

Three Dimensional ◽

Automated System ◽

System Control ◽

Sensitive Information ◽

Control Mechanisms ◽

Risk Optimization ◽

System Resources

The automated access control mechanism afforded to an automated system control in order to attain the maximum objectives of preserving the confidentiality, integrity, authentication & high availability of information system resources. The risk optimization is the process of identifying vulnerabilities, risk, uncertainties and threats to operating system resources to achieving the maximum business objectives and deciding the maximum counter measures in to optimizing the lowest level of risk. This proposed three dimensional hypercube security models and mechanism is going to be providing high level accountability for individuals who are accessing sensitive information on multiple relation functions, operation and services (RFOS) on multiple application, system software, server and network. This accountability is accomplished through access control mechanisms & services that require Confidentiality, Integrity, Authentication, Access control, Non repudiation, Availability & Privacy through operating system control and audit function. One has to develop the computer algebraic system over a relation, function, operation & services for multiple business, resources and location for risk optimization on complex real time large scale operating system. This paper contributes to the development of an optimization mechanism that objective to determine the optimal cost to be invested into security mechanisms on the measure component of the system security. Furthermore, the model optimize the cost, time & resources is supposed to optimize the system risks and maximize the business throughput and high security system. One has to develop one solution (ACM) for multiple issue which is satisfying to the pervasive and ubiquitous computing based on distributed object oriented system.

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An Integrated Dynamic Model Optimizing the Risk on Real Time Operating System

International Journal of Information Security and Privacy ◽

10.4018/ijisp.2014010103 ◽

2014 ◽

Vol 8 (1) ◽

pp. 38-61

Author(s):

Prashanta Kumar Patra ◽

Padma Lochan Pradhan

Keyword(s):

Operating System ◽

Real Time ◽

Dynamic Model ◽

High Performance ◽

Algebraic Method ◽

Algebraic Model ◽

Preventive Control ◽

Real Time Operating System ◽

Resource Cost ◽

System Resources

This article provide maximum preventive control, high performance and fault tolerance at an optimal resources, cost, time with high availability and quality of services to be invested into dynamic security mechanisms deciding on the measure component of real time operating system resources (Shell, File, Memory, Processor, Kernel, Encryption key, I/O devices). The authors have to define, design, develop and deploy our valuable idea to be optimizing the technology, resource, cost and maximize the throughput, productivity of business all together at anytime and anywhere in around the globe by applying this integrated dynamic model. This dynamic model interfacing, integrating, communicating, synchroning, preventing and optimize step by step through real time algebraic method over a RTOS on distributed super scalar environment (MIMD). This proposed dynamic algebraic model would be preventing the data and services on RTOS from uncertainty, unorder, unsetup, unsafe and external hackers. Mean while this model would be identifying vulnerabilities and threats on operating system resources to achieving the highest business objectives by utilizing the efficient and reliable resources management. The authors have to optimized the system attacks and down time by verification and validation of this method on complex heterogonous infrastructure.

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