The business world today depends on the internet, using mobile devices, for communication and business transactions. Given this shift towards cyber communication, the atack vector has also increased, especially denial of service (DOS) assaults. DOS attacks attempt to exchaust the resources of ke target object, making it unusable to legitimate users. In an effort to curb the menace, automated intrusion response system (AlRS) used fuzzy ELECTRE IIl method to rate and prioritize response alternatives. ELECTRE Il method outranks the alternative responses to the attack by pairing alternatives and selects the best option in terms of time and acceptable cost. The relationship, M M implies that Mi is preferred to Me (a concordance relationship) and vice versa. Other options in the relationship can be indifference (discordance test) and incomparable. This technique can be applied to other areas of multi-attribute decision making (MADM) problems. The optimum response obtained was reset connection (RST), which can be applied to foil DOS attacks in real time and at minimum cost. In addition a case study showing the implementation of an improved technique to invoicing process in a company is demonstrated with strategy #2 (purchase of an off-the-shelf application) chosen as the best option. The traditional method of 'selecting response action to an attack had been subjective and at the discretion of the administrator. However, in this paper, the process has been automated using Julia/REPL kernel in Jupyter Notebook platform; and reduced internal attacks like espionage and intellectual property theft by setting aside privileged users or staff like system administrators, computer operators or contractors.
Author(s): S. B. Oyong (1), U. O. Ekong (2), O. U. Obot (3) and S. E. Mughele (4)
