Anomaly detection in networks using machine learning K Kostas MSc Thesis, CSEE, University of Essex, 2018 | 53 | 2018 |
IoTDevID: A behavior-based device identification method for the IoT K Kostas, M Just, MA Lones IEEE Internet of Things Journal 9 (23), 23741-23749, 2022 | 41 | 2022 |
IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT K Kostas, M Just, MA Lones arXiv preprint arXiv:2102.08866v1, https://arxiv.org/pdf/2102.08866v1.pdf, 2021 | 9 | 2021 |
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection K Kostas, M Just, MA Lones arXiv preprint arXiv:2401.01343, 2023 | 6 | 2023 |
Wifi based distance estimation using supervised machine learning K Kostas, RY Kostas, F Zampella, F Alsehly 2022 IEEE 12th International Conference on Indoor Positioning and Indoor …, 2022 | 4 | 2022 |
Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset K Kostas, M Just, MA Lones arXiv preprint arXiv:2307.08679, 2023 | 3 | 2023 |
Semantic verbal fluency in native speakers of Turkish: a systematic review of category use, scoring metrics and normative data in healthy individuals R Yasa Kostas, K Kostas, SE MacPherson, MK Wolters Journal of Clinical and Experimental Neuropsychology, 1-30, 2024 | | 2024 |
Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection K Kostas, M Just, MA Lones arXiv preprint arXiv:2406.07578, 2024 | | 2024 |