STAFF PROFILE
Dr. Abebe Diro
Position:
Lecturer, CyberSecurity (ECDF)
College / Portfolio:
College of Business and Law
School / Department:
COBL|Accounting, Info Sys & Supply Chain
Phone:
+61399254132
Email:
abebe.diro3@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Dr Abebe Diro is a lecturer at RMIT University's School of Accounting, Information Systems and Supply Chain. He is a cyber security scientist with interests in machine learning-based cyber security, and cryptography. He has made outstanding contributions to these fields with publications in high quality journals. The research outputs include pioneering work on distributed machine learning for intrusion detection in Internet of Things. Further, Dr Diro has proven his ability to establish relevant research collaborations with industry through various projects, which is supported by RMIT University's emphasis on aligning research with areas of national interest. He has also established collaborations with academics in Europe, Australia, South Korea, Indonesia and Turkey, where has co-published journal articles with researchers. His high-quality research in cyber security and his extensive research networks in cyber security and cryptography mark him as a leading researcher at RMIT.
- Diro, A. (2021). Collaborative and Integrated Edge Security Architecture In: Secure Edge Computing, Taylor and Francis, United States
- Diro, A.,Mahmood, A.,Chilamkurti, N. (2021). Collaborative Intrusion Detection Schemes in Fog-to-Things Computing In: Fog/Edge Computing For Security, Privacy, and Applications, Springer, Switzerland
- Diro, A.,Chilamkurti, N.,Nguyen, V.,Heyne, W. (2021). A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms In: Sensors, 21, 1 - 13
- Diro, A.,Reda, H.,Chilamkurti, N.,Mahmood, A.,Zaman, N.,Nam, Y. (2020). Lightweight Authenticated-Encryption Scheme for Internet of Things Based on Publish-Subscribe Communication In: IEEE Access, 8, 60539 - 60551
- Reda, H.,Mahmood, A.,Diro, A.,Chilamkurti, N.,Kallam, S. (2020). Firefly-inspired stochastic resonance for spectrum sensing in CR-based IoT communications In: Neural Computing and Applications, 32, 16011 - 16023
- Diro, A.,Chilamkurti, N. (2018). Distributed attack detection scheme using deep learning approach for Internet of Things In: Future Generation Computer Systems, 82, 761 - 768
- Diro, A.,Chilamkurti, N. (2018). Deep Learning: The Frontier for Distributed Attack Detection in Fog-To-Things Computing In: IEEE Communications Magazine, 56, 169 - 175
- Diro, A.,Chilamkurti, N. (2018). Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications In: IEEE Communications Magazine, 56, 124 - 130
- Diro, A.,Chilamkurti, N.,Nam, Y. (2018). Analysis of Lightweight Encryption Scheme for Fog-to-Things Communication In: IEEE Access, 6, 26820 - 26830
- Diro, A.,Reda, H.,Chilamkurti, N. (2018). Differential flow space allocation scheme in SDN based fog computing for IoT applications In: Journal of Ambient Intelligence and Humanized Computing, , 1 - 11
1 PhD Current Supervisions
- PhD in Cybersecurity, La Trobe University, 2019