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 is, the users that are likely to fall victim to such attacks. Once identified, information about the vulnerable population can be used in two ways. Continue reading “Going After Vulnerable Population to Defend It”
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. 
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 behaviour through motivation to protect themselves against phishing threats. 
Recent Publications
- Privacy on Social Networking Sites Among Canadian Teenagers
- Vulnerability & Blame: Making Sense of Unauthorized Access to Smartphones
- Towards Understanding the Link Between Age and Smartphone Authentication
- Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
- Analysis of Data-At-Rest Security In Smartphones