Kahraman Kostas

I am a PhD student at the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh Campus (Supervised by Mike Just and Michael Lones). My research interests are cyber security, computer networks, the Internet of Things, indoor positioning, and machine learning. My current focus is IoT Security, especially device identification and attack detection on IoT networks. However, I am very interested in the practical use of machine learning techniques on different data types.

I worked at Huawei Edinburgh R&D Centre as a Research Intern for 6 months in 2022. In this process, I developed various solutions to indoor positioning problems by focusing on the analysis of geospatial data with machine learning.

I graduated from Marmara University with a BSc in Computer Education and Instructional Technology in 2009. I took my MSc degree from the University of Essex in Computer Networks and Security with Distinction in 2018.

My master's thesis was about the detection of network attacks using machine learning methods (Supervised by Martin Reed). The thesis and the code are available.

Between undergraduate and graduate education, I worked as a computer teacher for about seven years in a wide range of schools from elementary to high school in some provinces in Turkey (İstanbul, Şırnak, Manisa, Adıyaman). During these years, in addition to teaching, I worked as a technology consultant and conducted projects teaching programming to young people and encouraging teachers to use instructional technology. Between 2013 and 2016, I worked as a teacher trainer in the Fatih Project, a national project of the Turkish government, which seeks to integrate state-of-the-art computer technology into Turkey’s public.

My personal interests include hiking, taking photos and Turkish literature, etymology and classical Turkish poetry (I obtained BA in Turkish Language and Literature with Honour in 2015. I was a PhD student in Turkish language and literature before I completely switched my route to computer science.)



News

APR 2024 I gave a career talk on Cyber Security in the program hosted by Edinburgh Education Attaché Office (Turkish).
MAR 2024 New publication🎉 Our (With RYK) paper has been accepted to Journal of Clinical and Experimental Neuropsychology (JCEN).
OCT 2023 Successfully defended my thesis! 🎉 Passed with minor corrections📚🎓.
OCT 2023 New IoT Attack Detection paper (IoTGeM) ready for publication.
SEP 2023 I submitted my PhD thesis. My viva is on October 31st!
JULY 2023 New device identification paper ready for publication.
NOW 2022 I was a finalist of the Huawei Tech Arena - Enter The Metaverse (6th position -Best AI approach) Solving 3D graphics compression for efficient Metaverse architecture. (w RYK)
JUN 2022 Our paper has been accepted to the IEEE IoT Journal.
MAY 2022 Our (With RYK and Huawei RD Indoor Positioning Team) paper has been accepted to the IPIN 2022 conference.
FEB 2022 I have joined Huawei UK RD Edinburgh Lab. I am creating solutions to indoor positioning problems by focusing on the analysis of geospatial data with machine learning.
JAN 2022 Our success in the national competition was reported in a newspaper.
DEC 2021 I won Huawei UK University Challenge Competition 2021. (with RYK)


Publications

Semantic verbal fluency in native speakers of Turkish: A systematic review of category use, scoring metrics and normative data in healthy individuals
Rabia Yasa Kostas, Kahraman Kostas, Sarah E MacPherson, Maria K Wolters, JCEN, 2024
[paper]

IoTGeM: Generalisable Models for Behaviour-Based IoT Attack Detection
Kahraman Kostas, Mike Just, Michael A. Lones, arXiv, 2023
[paper][code]

Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset
Kahraman Kostas, Mike Just, Michael A. Lones, arXiv, 2023
[paper][code]

LSTM based IoT Device Identification
Kahraman Kostas, arXiv, 2023
[paper][code]

CNN based IoT Device Identification
Kahraman Kostas, arXiv, 2023
[paper][code]

WiFi Based Distance Estimation Using Supervised Machine Learning
Kahraman Kostas, Rabia Yasa Kostas, Francisco Zampella, Firas Alsehly, IEEE, IPIN, 2022
[paper][code]

IoTDevID: A behavior-based device identification method for the IoT
Kahraman Kostas, Mike Just, Michael A. Lones, IEEE, IoT Journal, 2022
[paper][code]

IoTDevID: A behaviour-based fingerprinting method for device identification in the IoT
Kahraman Kostas, Mike Just, Michael A. Lones, arXiv, 2021
[paper][code]

Anomaly Detection in Networks Using Machine Learning
Kahraman Kostas arXiv, 2018
[paper][code]


Teaching

Advanced Network Security, Heriot-Watt University
Teaching Assistant, Mike Just, 2021 & 2022

Computer Network Security, Heriot-Watt University
Teaching Assistant, Mike Just, 2020 & 2021

Software Development 1 (JAVA), Heriot-Watt University
Teaching Assistant, Michael Lones, 2020

Data Communications and Networking, Heriot-Watt University
Teaching Assistant, Idris Skloul Ibrahim, 2020