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In an era where big data, machine learning algorithms, and simulations are used to understand cyberattacks and cybersecurity, is there room for qualitative or 'thick' data? This talk shares a social scientist’s perspective on the relevance of thick data in understanding the ‘how’ and ‘why’ of adversarial behavior, movement, decision-making, adaptation to disruptions, and group dynamics. More specifically, it highlights potential for symbiotic relationships between social science methodologies, such as observations and focus groups, and technical methodologies, such as time series analysis, social network analysis, and machine learning and prediction. The talk will then share how social science students must be trained via discipline-specific education to effectively engage in the cybersecurity discourse. It details specific educational efforts via social engineering course projects and capture-the-flag competitions that not only cater to social science students, but also technical students, and how these efforts help break silos to foster multidisciplinary dialog.
Speaker Bio:
Dr. Aunshul Rege is an Associate Professor with the Department of Criminal Justice. She is the Director of the CARE (Cybersecurity in Application, Research, and Education) Lab, which focuses on the human and social aspects of cyberattacks and cybersecurity. Dr. Rege is the recipient of numerous National Science Foundation grants, including the prestigious NSF CAREER award. Her research examines adversarial decision-making, adaptation and movement, and she has worked with Computer Scientists and Engineers in academia, industry and government. Dr. Rege and her team at the CARE Lab have generated a critical infrastructure ransomware incident dataset, which maps to the MITRE ATT&CK framework and is highly requested by organizations, governments, academics, and students from all over the world. Dr. Rege is also passionate about cybersecurity education and has designed several experiential social engineering learning projects, which have been mapped to the NICE cybersecurity workforce framework and downloaded worldwide by educators and businesses. A month ago, she hosted a purely social engineering capture the flag competition at Temple University, which featured professional social engineers as judges and six undergraduate student teams. This competition is the first cybersecurity capture-the-flag competition to emphasize the human factor that is grounded in the social sciences. Dr. Rege has received a new NSF education grant, which will allow her to pursue this endeavor starting 2021. Not only has Dr. Rege's work been published in well-regarded journals and peer-reviewed conference proceedings, but her efforts have also been recognized in highly regarded cybersecurity outlets like Security Week, Bleeping Computer, and Dark Reading. She hopes to continue to make the social sciences more mainstream and embedded in the cybersecurity discourse.
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