SIJan 8, 2017
Private Social Network Data SharingJinxue Zhang
The increasing popularity of online social network brings huge privacy threat for the end users. While existing work focus on inferring sensitive attributes from the social network such as age, location and gender, little has been done on how to protect the users' privacy by preventing the malicious inference. In this paper we investigated the privacy vulnerability of the existing social network and designed a privacy-preserving framework. We evaluated the framework's privacy and usefulness guarantees, demonstrated its effectiveness on classification and the defense against the privacy attack.
CRFeb 6, 2014
TouchIn: Sightless Two-factor Authentication on Multi-touch Mobile DevicesJingchao Sun, Rui Zhang, Jinxue Zhang et al.
Mobile authentication is indispensable for preventing unauthorized access to multi-touch mobile devices. Existing mobile authentication techniques are often cumbersome to use and also vulnerable to shoulder-surfing and smudge attacks. This paper focuses on designing, implementing, and evaluating TouchIn, a two-factor authentication system on multi-touch mobile devices. TouchIn works by letting a user draw on the touchscreen with one or multiple fingers to unlock his mobile device, and the user is authenticated based on the geometric properties of his drawn curves as well as his behavioral and physiological characteristics. TouchIn allows the user to draw on arbitrary regions on the touchscreen without looking at it. This nice sightless feature makes TouchIn very easy to use and also robust to shoulder-surfing and smudge attacks. Comprehensive experiments on Android devices confirm the high security and usability of TouchIn.