Assessment of Social Engineering Vulnerabilities in Tanzanian Higher Learning Institutions

This dataset comprises qualitative and quantitative data collected from a comprehensive study evaluating the prevalence and types of social engineering vulnerabilities within Tanzanian higher learning institutions. The data was gathered through surveys and structured interviews with 395 participants, including students, academic staff, and administrative staff. Key variables include demographic information, awareness levels of social engineering attacks, types of attacks experienced (phishing, smishing, vishing, pretexting, baiting), incident reporting rates, and satisfaction with incident response mechanisms.The dataset also encompasses participants' cybersecurity practices, their willingness to use a mobile-based application for assessing and reporting social engineering vulnerabilities, and additional measures suggested to enhance cybersecurity within their institutions. The data is valuable for researchers and practitioners aiming to develop user-centric cybersecurity strategies, improve incident management, and design effective training programs tailored to educational environments. The dataset is anonymized to protect the privacy of the participants and is available for further analysis and research to contribute to the ongoing efforts in mitigating social engineering threats in higher education.