Organizer: Mikhail Fomichev
Despite substantial improvements made by the usable security community at raising lay people’s awareness of, motivation to use, and knowledge of how to use security and privacy tools (i.e., their security sensitivity), much security advice remains ignored and many security tools remain underutilized. I argue that this this low security sensitivity can be at least partially explained by the fact that security and privacy behaviors can have a myriad of social consequences. For example, by using two-factor authentication, one might also be perceived as “paranoid” or as someone with something to hide. To that end, in this talk, I will describe some recent work that introduces and establishes a theoretical foundation for a new genre of usable security research: social cybersecurity.
Sauvik Dashas been a Ph.D. student at CMU's HCII advised by Jason Hong and Laura Dabbish since 2011. His current research, is drawn on social science theory to invent novel, more socially compatible security tools that make end-user security less isolating and more likely to spread through social channels. He also works on other interesting topics broadly within HCI: including game personalization, mobile authentication, friendsourcing, and ubiquitous computing. Sauvik Das is a NDSEG fellow, a Qualcomm Innovation Fellow, a NSF EAPSI fellow, and a Facebook Fellowship finalist. His works won prestigious awards at such venues CCS, UbiComp and CHI.