SPriTE stands for Security, Privacy, Trust and Ethics in Computing.
SPriTELab's research focus is in the broad areas of Cyber Security, Privacy Enhancing Technologies, Applied Cryptography, Cryptocurrencies & Blockchains, Incentive Mechanisms for Security, Adversarial Machine Learning and Activity Recognition. We address both fundamental and applied research issues in these broad areas.
Some specific research areas we are currently focusing on include private data inference threats from sensory side channels on mobile and wearable devices, privacy threats due to visible and invisible light sources on IoT devices, incentive-based mechanism design for public permissionless blockchains, crypto-malware analysis and pedestrian distraction detection using mobile and wearable sensors.
Our research methodology includes: (1) Formal problem and adversary modeling, solution/threat design and analytical evaluation (2) Extensive empirical evaluation using network simulations, application prototyping, system development and/or test-bed deployment (3) Usability and Human-Computer Interaction (HCI) studies, wherever applicable.
We are always looking for exceptional undergraduate and graduate students to work with us on exciting new research problems in these areas. Current University of Texas at San Antonio (UTSA) students can gain a quick insight into our activities by attending our regular research seminars and lab meetings. Please contact Dr. Murtuza Jadliwala to get a schedule of these meetings and seminars. Prospective UTSA students can find more information here.
Our paper titled "Analyzing Defense Strategies Against Mobile Information Leakages: A Game-Theoretic Approach" will be presented at GameSec 2019 in Stockholm, Sweden.
Our article titled "Light Ears: Information Leakage via Smart Lights" has been published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. It was also presented at UbiComp 2019 in London, UK.
Our paper titled "deWristified: Handwriting Inference Using Wrist-Based Motion Sensors Revisited" was presented at WiSec 2019 in Miami, Florida.
Our article titled "A Practical Framework for Preventing Distracted Pedestrian-related Incidents using Wrist Wearables" has been published in the IEEE Access.
Our article titled "A Game-Theoretic Analysis of Shard-Based Permissionless Blockchains" has been published in the IEEE Access.
Our paper titled "Towards Inferring Mechanical Lock Combinations using Wrist-Wearables as a Side-Channel" was presented at WiSec 2018 in Stockholm, Sweden.
Our paper titled "Keystroke Inference Using Ambient Light Sensor on Wrist-Wearables: A Feasibility Study" was presented at WearSys 2018 in Munich, Germany.
Our paper titled "Towards a Practical Pedestrian Distraction Detection Framework using Wearables" won the Best Paper Award at WristSense 2018 in Athens, Greece.
Our article titled "Side-Channel Inference Attacks on Mobile Keypads using Smartwatches" has been published in the IEEE Transactions on Mobile Computing.
SPriTELab, previously in Wichita State University, has moved to the University of Texas at San Antonio.
Our paper titled "Information Leakage through Mobile Motion Sensors: User Awareness and Concerns" was presented at EuroUSEC 2017 in Paris, France.
Our paper titled "RandomPad: Usability of Randomized Mobile Keypads for Defeating Inference Attacks" was presented at IMPS 2017 in Paris, France.
Our paper titled "Preventing Shoulder Surfing using Randomized Augmented Reality Keyboards" was presented at SPT-IoT 2017 in Kona, Hawaii.
Our article titled "Measuring Anonymity of Pseudonymized Data after Probabilistic Background Attacks" has been accepted for publication in the IEEE Transactions on Information Forensics and Security.
Dr. Jadliwala receives funding from the National Science Foundation (NSF) for improving pedestrian safety using mobile and wearable devices.
Our paper titled "Smartwatch-Based Keystroke Inference Attacks and Context-Aware Protection Mechanisms" was presented at AsiaCCS 2016 in Xi'an, China.
Our article titled "Seer Grid: Privacy and Utility Implications of Two-Level Load Prediction in Smart Grids" has been accepted for publication in the IEEE Transactions on Parallel and Distributed Systems.
Our paper titled "(Smart)Watch Your Taps: Side-Channel Keystroke Inference Attacks using Smartwatches" was presented at ISWC 2015 in Osaka, Japan.
Dr. Jadliwala receives funding from the National Science Foundation (NSF) for researching wearable device security and privacy. He is working with Dr. Jibo He on this project, who is also the Co-PI on this project.
Our paper titled "Social Puzzles: Context-Based Access Control in Online Social Networks" was presented at DSN 2014 in Atlanta, Georgia.