14 citations · 24 across the 10 of their papers we have counts for
7 papers · 1 filter
IoT Device Identification with Machine Learning: Common Pitfalls and Best Practices
Kahraman Kostas, Rabia Yasa Kostas
This paper critically examines the device identification process using machine learning, addressing common pitfalls in existing literature. We analyze the trade-offs between identi…
GeMID: Generalizable Models for IoT Device Identification
Kahraman Kostas, Rabia Yasa Kostas, Mike Just +1
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 o…
Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
Kahraman Kostas, Mike Just, Michael A. Lones
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…
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
Kahraman Kostas, Mike Just, Michael A. Lones
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…
LSTM based IoT Device Identification
Kahraman Kostas
While the use of the Internet of Things is becoming more and more popular, many security vulnerabilities are emerging with the large number of devices being introduced to the marke…
CNN-based IoT Device Identification: A Comparative Study on Payload vs. Fingerprint
Kahraman Kostas
The proliferation of the Internet of Things (IoT) has introduced a massive influx of devices into the market, bringing with them significant security vulnerabilities. In this diver…