Going After Vulnerable Population to Defend It
The orthodox paradigm to defend against automated social-engineering attacks in large-scale socio-technical systems is reactive and victim-agnostic. Defenses generally focus on identifying the attacks/attackers (e.g., phishing emails, social-bot infiltrations, malware offered for download). To change the status quo, we propose in our paper presented at NSPW ’16 to identify, even if imperfectly, the vulnerable user population, that […]
Collaborative Study of Snooping on Mobile Phones Gets SOUPS Award
SOUPS ’16 paper on the prevalence of snooping on mobile phones has received Distinguished Paper award. The paper reports a series of quantitative studies that allowed a more accurate measurement of this phenomena. The study was led by our collaborators at the University of Lisbon. It was inspired by our previous study presented at Mobile CHI ’13.
Sharing Health Information on Facebook Among Americans
Motivated by the benefits, people have used a variety of web-based services to share health information (HI) online. Among these services, Facebook, which enjoys the largest population of active subscribers, has become a common place for sharing various types of HI.
Investigation of Phishing Avoidance
This paper reports on a design and development of a mobile game prototype as an educational tool helping computer users to protect themselves against phishing attacks. The elements of a game design framework for avoiding phishing attacks were used to address the game design issues. Our mobile game design aimed to enhance the users’ avoidance […]