Antivirus Software in Cyber Security

Batikan Falay

Bachelor's thesis

Abstract:

The importance of cybersecurity has increased in recent years due to the growing number of cyber threats and attacks. One critical aspect of cybersecurity is the utilization of antivirus software to detect and remove viruses. This investigation examines the effectiveness of four well-known antivirus programs, namely Kaspersky, Bitdefender, ESET, and McAfee. The study includes a performance test to assess each program's capability to detect and eliminate viruses. The performance test evaluates the ability of each program to detect a variety of viruses, including known and emerging threats. The outcomes of the performance test demonstrate that all four programs are effective in detecting and eliminating viruses, with Kaspersky and Bitdefender performing better than others. Furthermore, the study uses Saaty’s Method, also known as the Analytic Hierarchy Process (AHP), to evaluate the programs. The AHP is a decision-making tool that allows for the comparison of various alternatives based on a set of criteria. The evaluation using AHP considers several criteria, including performance, protection, cost, and help & support. The results of this research have significant implications for both individuals and organizations seeking to improve their cybersecurity measures. The outcomes suggest that investing in high-quality antivirus software programs, such as Kaspersky and Bitdefender, can substantially enhance an organization's ability to detect and remove viruses. Additionally, the study underscores the importance of considering various criteria, including ease of use, price, and customer support, when selecting an antivirus software program. This study provides valuable insights for individuals and organizations looking to enhance their cybersecurity practices.

Keywords

Cyber Security, Cyber Risk, Antivirus Software, Antivirus, Viruses, Malware

Language used: English

Date on which the thesis was submitted / produced: 17. 3. 2023

Thesis defence

• Date of defence: 15. 5. 2023
• Supervisor: doc. Ing. Jan Tyrychtr, Ph.D.
• Reader: Tomáš Benda, Ing.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme:
Informatics