Practical keystroke timing attacks in sandboxed javascript
Keystrokes trigger interrupts which can be detected through software side channels to
reconstruct keystroke timings. Keystroke timing attacks use these side channels to infer …
reconstruct keystroke timings. Keystroke timing attacks use these side channels to infer …
Sok: Keylogging side channels
JV Monaco - 2018 IEEE Symposium on Security and Privacy …, 2018 - ieeexplore.ieee.org
The first keylogging side channel attack was discovered over 50 years ago when Bell
Laboratory researchers noticed an electromagnetic spike emanating from a Bell 131-B2 …
Laboratory researchers noticed an electromagnetic spike emanating from a Bell 131-B2 …
Wireless AI in smart car: How smart a car can be?
In the era of the Internet of Things (IoT), billions of smart devices connect, interact, and
exchange data with each other. As “things” get connected together, intelligent systems and …
exchange data with each other. As “things” get connected together, intelligent systems and …
A survey on CSI-based human behavior recognition in through-the-wall scenario
Z Wang, K Jiang, Y Hou, Z Huang, W Dou… - IEEE …, 2019 - ieeexplore.ieee.org
Recent years have witnessed increasing research interest in human behavior recognition as
it provides attractive applications in various sensing scenarios. Among these encouraging …
it provides attractive applications in various sensing scenarios. Among these encouraging …
Vr-spy: A side-channel attack on virtual key-logging in vr headsets
In Virtual Reality (VR), users typically interact with the virtual world using virtual keyboard to
insert keywords, surfing the webpages, or typing passwords to access online accounts …
insert keywords, surfing the webpages, or typing passwords to access online accounts …
Enabling fine-grained finger gesture recognition on commodity WiFi devices
Gesture recognition has become increasingly important in human-computer interaction and
can support different applications such as smart home, VR, and gaming. Traditional …
can support different applications such as smart home, VR, and gaming. Traditional …
Channel selective activity recognition with WiFi: A deep learning approach exploring wideband information
WiFi-based human activity recognition explores the correlations between body movement
and the reflected WiFi signals to classify different activities. State-of-the-art solutions mostly …
and the reflected WiFi signals to classify different activities. State-of-the-art solutions mostly …
Deepfusion: A deep learning framework for the fusion of heterogeneous sensory data
In recent years, significant research efforts have been spent towards building intelligent and
user-friendly IoT systems to enable a new generation of applications capable of performing …
user-friendly IoT systems to enable a new generation of applications capable of performing …
Detecting state changes of indoor everyday objects using Wi-Fi channel state information
K Ohara, T Maekawa, Y Matsushita - … of the ACM on interactive, mobile …, 2017 - dl.acm.org
Detecting the events of indoor everyday objects such as door or window open/close events
has been actively studied to implement such applications as intrusion detection, adaptive …
has been actively studied to implement such applications as intrusion detection, adaptive …
WiCAR: WiFi-based in-car activity recognition with multi-adversarial domain adaptation
In-car human activity recognition is playing a critical role in detecting distracted driving and
improving human-car interaction. Among multiple sensing technologies, WiFi-based in-car …
improving human-car interaction. Among multiple sensing technologies, WiFi-based in-car …