Alain Giboin (UCA, INRIA, CNRS, I3S), Karima Boudaoud (UCA, CNRS, I3S), Patrice Pena (Userthink), Yoann Bertrand (UCA, CNRS, I3S), Fabien Gandon (UCA, INRIA, CNRS, I3S)

Allowing the users of mobile applications to control their personal data has become a key requirement. In the PadDOC project we studied the design of a mobile application intended to guarantee users the “exclusive control” of their personal data. We decided to use a heuristic evaluation method but we rapidly found that the criteria used were either too general or incomplete. As a result, we undertook to design a new set of heuristics which take this control activity into account, and which can be used by both usability specialists (HCI ergonomists) and computer scientists or engineers. This paper details the heuristics we designed together with the design method. It also reports the first test of the use of the criteria by a group of computer scientists, engineers and HCI ergonomists to evaluate a mock-up version of the PadDOC application. This test shows the benefits and limitations of the criteria.

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WeepingCAN: A Stealthy CAN Bus-off Attack

Gedare Bloom (University of Colorado Colorado Springs) Best Paper Award Winner ($300 cash prize)!

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Detecting Tor Bridge from Sampled Traffic in Backbone Networks

Hua Wu (School of Cyber Science & Engineering and Key Laboratory of Computer Network and Information Integration Southeast University, Ministry of Education, Jiangsu Nanjing, Purple Mountain Laboratories for Network and Communication Security (Nanjing, Jiangsu)), Shuyi Guo, Guang Cheng, Xiaoyan Hu (School of Cyber Science & Engineering and Key Laboratory of Computer Network and Information Integration…

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Towards Real-time Voice Interaction Data Collection Monitoring and Ambient...

Tu Le (University of California, Irvine), Zixin Wang (Zhejiang University), Danny Yuxing Huang (New York University), Yaxing Yao (Virginia Tech), Yuan Tian (University of California, Los Angeles)

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