Scopus Indexed Publications

Paper Details


Title
Cybersecurity Awareness Assessment Based on Bangladeshi People Perspective Using Machine Learning Approaches
Author
K. B. M. Tahmiduzzaman, Farzana Babi, Md. Adnan-E-Elahe, Md. Kausaruzzaman, Md. Thoufiq Zumma, Nazmus Sakib,
Email
Abstract

The demands placed on cyber security continue to rise. When data is compromised from a company, organization, or individual, we realize how crucial it is to have a basic understanding of cyber security. The company should provide their employees with training on how to stay secure online. In light of the current circumstances, it is very important for everyone. Those who have less awareness on it are contributing to a rise in cybercrime. The most significant cyberattack against a developing country. As a result of this, hackers and spammers target individuals in order to execute out attacks, and Bangladesh is vulnerable to an excessive number of attacks on its online and mobile banking transactions. In essence, they apply a social engineering approach in order to get the password. In this study, we gathered data from a survey in which we asked certain questions about fundamental levels of awareness. This research has a total of 456 participants who have answered the questions. In order to get the highest level of accuracy, we employ a machine learning method.


Keywords
"Cyber security , Awareness , Machine Learning , Cybercrime , Social engineering"
Journal or Conference Name
2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023
Publication Year
2023
Indexing
scopus