Study on the Use of Artificial Intelligence for Cybersecurity in Companies: Case of Companies in Burkina Faso

Hermann, Yanogo Kiswendsida Jean and Frederic, Ouedraogo Tounwendyam (2023) Study on the Use of Artificial Intelligence for Cybersecurity in Companies: Case of Companies in Burkina Faso. Engineering, 15 (12). pp. 798-809. ISSN 1947-3931

[thumbnail of eng_2023120815491581.pdf] Text
eng_2023120815491581.pdf - Published Version

Download (1MB)

Abstract

Poorly secured connected objects can compromise the security of an entire company, or even paralyze others. As useful as they are, they can be open doors for computer attacks against the company. To protect themselves, large companies set up expensive infrastructures to analyze the data that circulates inside and outside the company. They install a SOC, a Security Operation Center whose objective is to identify and analyze, using various tools, the level of protection of a company and, if necessary, to alert on vulnerabilities and leaks of security data. However, the attack detection capabilities of traditional systems are based on a base of known signatures. Problem is that it is increasingly rare to have to face threats whose signature is unknown. Artificial intelligence, on the contrary, does not look for fingerprints in the packets carrying the attack, but rather analyzes how these packets are arranged. The objective of this study is to show that the use of artificial intelligence in companies may be low and to show the positive impacts of its use compared to the traditional system used in companies. We also simulate an attack on a system equipped with artificial intelligence to highlight the advantages of AI in a computer attack. This research is important because it highlights the risks that companies expose themselves to by always remaining secure in their systems based on traditional techniques. The aim of this research is to show the advantages that AI offers on cyber security compared to the traditional security system. The expected result is to show the existing issues regarding the rate of use of AI on cybersecurity in Burkina Faso.

Item Type: Article
Subjects: Open Research Librarians > Engineering
Depositing User: Unnamed user with email support@open.researchlibrarians.com
Date Deposited: 13 Dec 2023 11:04
Last Modified: 13 Dec 2023 11:04
URI: http://stm.e4journal.com/id/eprint/2364

Actions (login required)

View Item
View Item