Explanipedia

GeMID: Generalizable models for IoT device identification Open

Kahraman Kostas, Rabia Yasa Kostas, Mike Just, Michael A. Lones · 2025

Iotgem: Generalizable Models for Behaviour-Based Iot Attack Detection Open

Kahraman Kostas, Mike Just, Michael A. Lones · 2025

From Reports to Actions: Bridging the Customer Usability Gap in Penetration Testing Open

Katarína Galanská, Agáta Kružíková, Maria Murumaa, Vashek Matyáš, Mike Just · 2025

Penetration testing reports play a significant role in helping organizations identify and mitigate security vulnerabilities. The report effectiveness relies on the extent to which customers can translate the findings into actionable decisi…

GeMID: Generalizable Models for IoT Device Identification Open

Kahraman Kostas, Rabia Yasa Kostas, Mike Just, Michael A. Lones · 2024

With the proliferation of devices on the Internet of Things (IoT), ensuring their security has become paramount. Device identification (DI), which distinguishes IoT devices based on their traffic patterns, plays a crucial role in both diff…

Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection Open

Kahraman Kostas, Mike Just, Michael A. Lones · 2024

Machine learning is increasingly used for intrusion detection in IoT networks. This paper explores the effectiveness of using individual packet features (IPF), which are attributes extracted from a single network packet, such as timing, si…

IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection Open

Kahraman Kostas, Mike Just, Michael A. Lones · 2023

Previous research on behavior-based attack detection for networks of IoT devices has resulted in machine learning models whose ability to adapt to unseen data is limited and often not demonstrated. This paper presents IoTGeM, an approach f…

Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset Open

Kahraman Kostas, Mike Just, Michael A. Lones · 2023

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 machine learning approach for device identification using ne…

A comic-based approach to permission request communication Open

Katie Watson, Mike Just, Tessa Berg · 2022

Text-based permission requests do little to engage and inform smartphone users. Comics have recently been used with permission requests, though only in a survey of participants' perceived reactions. In this paper we study more realistic re…

Context matters: Methods for Bitcoin tracking Open

Tin Tironsakkul, Manuel Maarek, Andrea Eross, Mike Just · 2022

Bitcoin and other cryptocurrencies are well-known for their privacy properties that allow for the "anonymous" exchange of money. Bitcoin tracking with taint analysis remains challenging as it does not account for the change in Bitcoins' ow…

IoTDevID: A Behavior-Based Device Identification Method for the IoT Open

Kahraman Kostas, Mike Just, Michael A. Lones · 2022

Device identification is one way to secure a network of IoT devices, whereby\ndevices identified as suspicious can subsequently be isolated from a network.\nIn this study, we present a machine learning-based method, IoTDevID, that\nrecogni…

Magnesium Alloys for Sustainable Weight-Saving Approach: A Brief Market Overview, New Trends, and Perspectives Open

Fabrizio D’Errico, Martin Tauber, Mike Just · 2022

In the transportation sector, weight-saving strategies emphasize greenhouse gas reductions by improving fuel efficiency. Furthermore, it is a fact that consumers appreciate less-consuming vehicles. Lighter battery electric vehicles (BEV) m…

IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT. Open

Kahraman Kostas, Mike Just, Michael A. Lones · 2021

Device identification is one way to secure a network of IoT devices, whereby devices identified as suspicious can subsequently be isolated from a network. We introduce a novel fingerprinting method, IoTDevID, for device identification that…

Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and Ensembles Open

Filip Wieslaw Bartoszewski, Mike Just, Michael A. Lones, Oleksii Mandrychenko · 2021

Tracking Mixed Bitcoins Open

Tin Tironsakkul, Manuel Maarek, Andrea Eross, Mike Just · 2020

Probing the Mystery of Cryptocurrency Theft: An Investigation into Methods for Taint Analysis Open

Tin Tironsakkul, Manuel Maarek, Andrea Eross, Mike Just · 2019

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 transaction is recorded in the blockchain database, which is tr…

Probing the Mystery of Cryptocurrency Theft: An Investigation into Methods for Cryptocurrency Tainting Analysis Open

Tin Tironsakkul, Manuel Maarek, Andrea Eross, Mike Just · 2019

Hardware-Assisted Secure Communication in Embedded and Multi-Core Computing Systems Open

Ahmed Saeed, Ali Ahmadinia, Mike Just · 2018

With the sharp rise of functionalities and connectivities in multi-core embedded systems, these systems have become notably vulnerable to security attacks. Conventional software security mechanisms fail to deliver full safety and also affe…

Late Manifestation of Neurofibromatosis of the right Trigeminal Nerv Open

Mike Just, J Rudolph, Aimee Dietz · 2018

Neurofibromatosis (NF) is a autosomal-dominant, monogenous inherited disease which affects multiple organs. NF typ 1 is one of the most common inherited neurological diseases, which is associated with tumours of the nervous system. Distinc…

Keeping Children Safe Online: Understanding the Concerns of Carers of Children with Autism Open

Mike Just, Tessa Berg · 2017

Tag-Protector: An Effective and Dynamic Detection of Illegal Memory Accesses through Compile Time Code Instrumentation Open

Ahmed Saeed, Ali Ahmadinia, Mike Just · 2016

Programming languages permitting immediate memory accesses through pointers often result in applications having memory-related errors, which may lead to unpredictable failures and security vulnerabilities. A lightweight solution is present…

Codes v. People: A Comparative Usability Study of Two Password Recovery Mechanisms Open

Vlasta Šťavová, Vashek Matyáš, Mike Just · 2016

On the impact of warning interfaces for enabling the detection of Potentially Unwanted Applications Open

Vlasta Šťavová, Vashek Matyáš, Mike Just · 2016

We conducted a large-scale online study with 26,000 software installations during which we asked user (participants) whether they wanted to enable or disable the detection of Potentially Unwanted Applications (PUAs -potentially malicious s…

Proceedings of the Ninth Workshop on Web 2.0 Security and Privacy (W2SP) 2015 Open

Abigail Goldsteen, Tyrone Grandison, Mike Just, Larry Koved, Rohan Malcolm , et al. · 2015

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 Computer Society Security and Privacy Workshops, in conjunctio…

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