Phishing and spear-phishing attacks are becoming increasingly sophisticated, making it challenging for end-users to recognize and respond to these threats. A better understanding of the cognitive factors and decision-making processes of end-users in this context can lead to the development of adaptive end-user training to provide more effective countermeasures to these attacks. The goal of this research project is to develop better awareness training programs, improve technology-based phishing detection solutions.
Campus crime is influenced by various elements, including childhood experiences, individual characteristics, institutional settings, and environmental factors. These elements are crucial in understanding the causes of campus crime and devising effective prevention strategies. The impact of campus crime is significant, affecting the well-being, social functioning, and academic achievement of student victims. However, despite the prevalence and impact of campus crimes, there is a notable low rate of crime reporting on campuses. This could be attributed to several reasons including fear of stigma, lack of awareness about reporting mechanisms, or distrust in the efficacy of institutional responses. The complex interplay of these social, psychological, and environmental factors creates a challenging environment for effectively addressing campus crimes. Therefore, understanding these underlying elements is critical for developing more effective crime reporting and prevention strategies on educational campuses.
The birth of ChatGPT from the development of large language models (LLMs) has brought a new dimension when employing artificial intelligence as a service. GPT’s creative ability has been of concern to the public because it can be weaponized to suit nefarious purposes. such as spear phishing, a social engineering attack. Crafting a functional spear phishing email involves gathering victim information, personalizing content, and delivery. The first two phases, laborious and language-dependent, can be expedited with LLMs, enabling cost-effective, large-scale campaigns. Our objective is to employ LLMs in creating an end-user training program to enhance defenses against spear phishing, acknowledging the critical need to address the security implications arising from the rapid evolution of language models.