Browsing by Author "Tahmiduzzaman, K.B.M."

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    A Study of Cyber Bullying Classification Using Social Media and Texual Analysis Based on Machine Learning Approches
    (IEEE, 2023-11-23) Aronno, Md. Shafiur Rahman; Zumma, Md.Thoufiq; Prodhan, Rashed; Zohora, Fatema Tuz; Sakib, Nazmus; Tahmiduzzaman, K.B.M.
    In today's world, cyberbullying is a problem that is becoming more and more common, especially among teenagers and young people. The prevalence of social networking sites and other digital communication tools has made it simpler for offenders to harass their victims in secret and without repercussions. Natural language processing (NLP) methods have been used in recent years to categorize instances of cyberbullying and assist identify them. The language used in online conversations is examined using these approaches to look for trends and signs of cyberbullying behavior. The purpose of this study is to investigate how well NLP approaches can be used to recognize and categorize cyberbullying behavior. To provide a thorough knowledge of the many types of cyberbullying, the study will use a variety of data sources, including social media posts, chat logs, and other online conversations. Overall, this research will further our knowledge of the intricate nature of cyberbullying and shed light on the potential applications of NLP approaches to lessen its negative impacts.
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    Determining Correlation Between Social Engineering Awareness and Becoming Victim of Social Engineering
    (Daffodil International University, 2022-01-04) Tahmiduzzaman, K.B.M.; Mondol, Tanmoy; Babi, Farzana
    The purpose of social engineering is to hack into a person's security system and lure them in with luring human behavior. The art of social engineering, also known as human hacking, involves tricking employees and customers into disclosing their credentials - then using those credentials to gain access to networks or accounts. Social engineering attacks are difficult to protect against for various reasons. For one thing, they aren’t well documented. For another, social engineers are limited only by their imaginations. Regardless of the method of attack they use, social engineering is always unpredictable. The best thing you can do is remain vigilant, understand social engineers' motives and methods, and ensure ongoing security awareness within your organization to guard against the most common attacks. We survey Bangladeshi people to know how much they are aware about social engineering attacks and at the same time what is the correlation between awareness and becoming the victim of social engineering attack. It was observed through our research that there is positive correlation between these two variables though not too much.