108 citations · 194 across the 6 of their papers we have counts for
7 papers
Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset
Kahraman Kostas, Mike Just, Michael A. Lones
In the era of rapid IoT device proliferation, recognizing, diagnosing, and securing these devices are crucial tasks. The IoTDevID method (IEEE Internet of Things 2022) proposes a m…
IoTDevID: A Behavior-Based Device Identification Method for the IoT
Kahraman Kostas, Mike Just, Michael A. Lones
Device identification is one way to secure a network of IoT devices, whereby devices identified as suspicious can subsequently be isolated from a network. In this study, we present…
Tracking Mixed Bitcoins
Tin Tironsakkul, Manuel Maarek, Andrea Eross +1
Mixer services purportedly remove all connections between the input (deposited) Bitcoins and the output (withdrawn) mixed Bitcoins, seemingly rendering taint analysis tracking inef…
Probing the Mystery of Cryptocurrency Theft: An Investigation into Methods for Taint Analysis
Tin Tironsakkul, Manuel Maarek, Andrea Eross +1
Since the creation of Bitcoin, transaction tracking is one of the prominent means for following the movement of Bitcoins involved in illegal activities. Although every Bitcoin tran…
Proceedings of the Ninth Workshop on Web 2.0 Security and Privacy (W2SP) 2015
Abigail Goldsteen, Tyrone Grandison, Mike Just +3
This is the Proceedings of the Ninth Workshop on Web 2.0 Security and Privacy (W2SP) 2015, held in San Jose, CA, USA, on May 21, 2015. The workshop was held as part of the IEEE Com…
Data Driven Authentication: On the Effectiveness of User Behaviour Modelling with Mobile Device Sensors
Hilmi Gunes Kayacik, Mike Just, Lynne Baillie +2
We propose a lightweight, and temporally and spatially aware user behaviour modelling technique for sensor-based authentication. Operating in the background, our data driven techni…