Dear Editor-In-Chief (Tole Sutikno)  I hope to you having a good day.  It is my great pleasure for accepting my paper entitled “Risk Assessment Optimization for Decision Support using Intelligent Model based on Fuzzy Inference Renewable Rules ".  Dear Edi

Title:Risk Assessment Optimization for Decision Support using Intelligent Model based on Fuzzy Inference Renewable Rules

Abdulkareem Merhej Radhi

Abstract


Title:Risk Assessment Optimization for Decision Support using Intelligent Model based on Fuzzy Inference Renewable Rules

Abstract:

Due to unreliability of wired communications and the risks of controlling the process of transmitsing data besides the complications that affecting data protection and the high costs of systems infrastructure, led to use wireless communications instead of wires media, but these networks are valunerable towards illegal attacks. The side effects of these attacks are modifying data or penetrate the security system and discover its weaknesses, which leads to great material losses. These risks and difficulties led to reluctance of wires communications and propose intelligent techniques and robust encryption algorithms for preventing data transmitted over wireless networks to keeps it safe from cyber security attacks. So, there is a persistent need for providing intelligent techniques and robust algorithms to preserve conveyed information using wireless network. This paper introduces asenario for proposing intelligent technique to increase data reliability and provides a new way to improve high level of protection besides reduces infrastructre cost.  The proposed system relies on two models, where the first model based on producing a knowledge base of risk rules while the the aim of the second module is a risk assessment outcomes and encryption process according to attacks type. In this system, reducing risks levels based on renewable rules while a novel security system based on non-periodic keys with unsystematic operations using fuzzy system. We conclude that the proposed system has the ability to protect the transmitted data, increases its reliability and reduce the potential risks. MATLAB Toolkit 2014 then Weka open sources package were used in encryption and data mining for the proposed system.


Keywords


Encryption; Fuzzy; Cipher Key ;WLAN; Risk Assessment

References


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DOI: http://doi.org/10.11591/ijeecs.v19.i2.pp%25p
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