An Event Response Plan Based Information Assurance model using Fuzzy Rough Sets in Business Organization
The objective of the work is to propose a fuzzy rough set based incident response plan with attack modeling and verification technique encompassing the information assurance in business environment. Developed or gathered data about the current or past security incidents in business forms are to be recognized for conveying right security systems. The accuracy of the current data and the accentuation of the past data identified with security are officially used to foresee the truth of future data security occurrences in a business situation. The accentuation on different fragments of the data is investigated according to the fuzzy data in regards to the assaults and their effects. The fuzzy result and lament lattices desire and their relative weightages in different event responds action with business forms are quantitatively displayed to take a right choice with the proposed with Time Contiguity Anxious Logic (TCAL) tense validation. The hopeful security system is distinguished when numerous business forms with various truth factors are teamed up. The intelligent sequent math with its methods is applied to implement the best option of information assurance and its security activity to defend any attack towards business organization.