Majd Latah

Currently, I work as a postdoctoral researcher at the department of Informatics of the University of Hamburg.
I have recieved my PhD from the department of Computer Science at Ozyegin University under the supervision of Dr. Kübra Kalkan.
My research interest is network security with a focus on software-defined networking and blockchains.
Your can contract me on: latahmajd@gmail.com

Publications

Recent Publications

Latah, M. and Kalkan K. (2024). “HostSec: A blockchain-based authentication framework for SDN hosts”, Peer-to-Peer Networking and Applications (Accepted).
Latah, M. and Kalkan K. (2022). “CWT-DPA: Component-wise waiting time for BC-enabled data plane authentication”, Computer Networks, 219, 109423.
Latah, M. and Kalkan K. (2022). “When SDN and Blockchain Shake Hands”, Communications of the ACM, 65(9), 68-78.
Latah, M. and Kalkan K. (2020). “DPSec: A blockchain-based data plane authentication protocol for SDNs”, Second International Conference on Blockchain Computing and Applications (BCCA), 2020 Nov 2, Antalya, Turkey, IEEE, 22-29.
Latah, M. (2020). “Detection of Malicious Social Bots: A survey and a Refined Taxonomy”, Expert Systems with Applications, 151, 113383.
Latah, M. and Toker, L. (2020). “An Efficient Flow-based Multi-level Hybrid Intrusion Detection System for Software-Defined Networks”, CCF Transactions on Networking, 3, 261–271.
Latah, M. and Toker, L. (2020). “Load and Stress Testing for SDN's Northbound API”, SN Applied Sciences, 2(122).
Latah, M. and Toker, L. (2020). “Minimizing False Positive Rate for DoS Attack Detection: A Hybrid SDN-based Approach”, ICT Express, 6(2), 125-127.
Latah, M. and Toker, L. (2019). “Artificial Intelligence-Enabled Software-Defined Networking: A Comprehensive Overview”, IET Networks, 8(2), 79-99.
Latah, M. and Toker, L. (2018). “Towards an Efficient Anomaly-Based Intrusion Detection for Software-Defined Networks”, IET Networks, 7(6), 453-459.

Preprints

Latah, M. (2018). “When Deep Learning Meets Security”.

Teaching Assistant

Security for Emerging Network Technologies - Spring 2023
Operating Systems - Spring 2023
Distributed Systems and Cloud Computing - Fall 2022
Computer Networks - Fall 2022
Security for Emerging Network Technologies - Spring 2022
Operating Systems - Spring 2022
Distributed Systems and Cloud Computing - Fall 2021
Analysis of Algorithms - Spring 2021
Operating Systems - Spring 2021
Computer Networks - Fall 2020
Security for Emerging Network Technologies - Spring 2020
Analysis of Algorithms - Spring 2020
Network Security - Fall 2019
Computer Networks - Fall 2019
Introduction to Programming - Spring 2019
Computer Networks - Spring 2019
Computer Programming for Engineers - Fall 2018
Social Network Analysis - Fall 2018
Big Data Analysis - Fall 2018
PHYS101L & PHYS102L - Spring 2018