A nonlinear laplace operator as edge detector in noisy images
Computer Vision, Graphics, and Image Processing
Adjacent Orientation Vector Based Fingerprint Minutiae Matching System
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Keyboard acoustic emanations revisited
Proceedings of the 12th ACM conference on Computer and communications security
ClearShot: Eavesdropping on Keyboard Input from Video
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Compromising electromagnetic emanations of wired and wireless keyboards
SSYM'09 Proceedings of the 18th conference on USENIX security symposium
Timing attacks on PIN input devices
Proceedings of the 17th ACM conference on Computer and communications security
Smudge attacks on smartphone touch screens
WOOT'10 Proceedings of the 4th USENIX conference on Offensive technologies
Mobile Security Catching Up? Revealing the Nuts and Bolts of the Security of Mobile Devices
SP '11 Proceedings of the 2011 IEEE Symposium on Security and Privacy
TouchLogger: inferring keystrokes on touch screen from smartphone motion
HotSec'11 Proceedings of the 6th USENIX conference on Hot topics in security
Heat of the moment: characterizing the efficacy of thermal camera-based attacks
WOOT'11 Proceedings of the 5th USENIX conference on Offensive technologies
A survey of mobile malware in the wild
Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices
iSpy: automatic reconstruction of typed input from compromising reflections
Proceedings of the 18th ACM conference on Computer and communications security
(sp)iPhone: decoding vibrations from nearby keyboards using mobile phone accelerometers
Proceedings of the 18th ACM conference on Computer and communications security
ACCessory: password inference using accelerometers on smartphones
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
TapLogger: inferring user inputs on smartphone touchscreens using on-board motion sensors
Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
A pilot study on the security of pattern screen-lock methods and soft side channel attacks
Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks
Seeing double: reconstructing obscured typed input from repeated compromising reflections
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
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Oily residues left by tapping fingers on a touch screen may breach user privacy. In this paper, we introduce the fingerprint attack against touch-enabled devices. We dust the touch screen surface to reveal fingerprints, and use an iPhone camera to carefully photograph fingerprints while striving to remove the virtual image of the phone from the fingerprint image. We then sharpen the fingerprints in an image via various image processing techniques and design effective algorithms to automatically map fingerprints to a keypad in order to infer tapped passwords. Extensive experiments were conducted on iPad, iPhone and Android phone and the results show that the fingerprint attack is effective and efficient in inferring passwords from fingerprint images. To the best of our knowledge, we are the first using fingerprint powder on touch screen and inferring passwords from fingerprints. Video at http://www.youtube.com/watch?v=vRUbJIcV9vg shows the dusting process on iPhone and video at http://www.youtube.com/watch?v=6jS6KroER3Y shows the dusting process on iPad. After dusting, password characters for login are clearly disclosed.