1 citations · 3 across the 5 of their papers we have counts for
6 papers
On the Feasibility of Reasoning about the Internal States of Blackbox IoT Devices Using Side-Channel Information
Wei Sun, Yuwei Xiao, Haojian Jin +1
Internet of Things (IoT) devices are typically designed to function in a secure, closed environment, making it difficult for users to comprehend devices' behaviors. This paper show…
Users are Closer than they Appear: Protecting User Location from WiFi APs
Roshan Ayyalasomayajula, Aditya Arun, Wei Sun +1
WiFi-based indoor localization has now matured for over a decade. Most of the current localization algorithms rely on the WiFi access points (APs) in the enterprise network to loca…
Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks
Daniel Romero, Peter Gerstoft, Hadi Givehchian +1
In a spoofing attack, an attacker impersonates a legitimate user to access or tamper with data intended for or produced by the legitimate user. In wireless communication systems, t…
Deep Learning Object Detection Approaches to Signal Identification
Luke Wood, Kevin Anderson, Peter Gerstoft +3
Traditionally source identification is solved using threshold based energy detection algorithms. These algorithms frequently sum up the activity in regions, and consider regions ab…
ViWiD: Leveraging WiFi for Robust and Resource-Efficient SLAM
Aditya Arun, William Hunter, Roshan Ayyalasomayajula +1
Recent interest towards autonomous navigation and exploration robots for indoor applications has spurred research into indoor Simultaneous Localization and Mapping (SLAM) robot sys…
SSLIDE: Sound Source Localization for Indoors based on Deep Learning
Yifan Wu, Roshan Ayyalasomayajula, Michael J. Bianco +2
This paper presents SSLIDE, Sound Source Localization for Indoors using DEep learning, which applies deep neural networks (DNNs) with encoder-decoder structure to localize sound so…