Survey on multi-access edge computing security and privacy P Ranaweera, AD Jurcut, M Liyanage IEEE Communications Surveys & Tutorials 23 (2), 1078-1124, 2021 | 252 | 2021 |
DDoSNet: A Deep-Learning Model for Detecting Network Attacks MS Elsayed, NA Le-Khac, S Dev, AD Jurcut 21ST IEEE INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND …, 2020 | 247 | 2020 |
InSDN: A Novel SDN Intrusion Dataset MS M. S. ElSayed, N Le-Khac, A Jurcut IEEE Access, 2020 | 237 | 2020 |
Network anomaly detection using LSTM based autoencoder M Said Elsayed, NA Le-Khac, S Dev, AD Jurcut Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and …, 2020 | 167 | 2020 |
A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique MS ElSayed, NA Le-Khac, MA Albahar, A Jurcut Journal of Network and Computer Applications 191, 103160, 2021 | 132 | 2021 |
Security Considerations for Internet of Things: A Survey A Jurcut, T Niculcea, P Ranaweera, A LeKhac Springer SN Computer Science (2020) 1:193, 2020 | 113 | 2020 |
Introduction to IoT Security AD Jurcut, R Ranaweera, L Xu IoT Security : Advances in Authentication 1, 37, 2019 | 82 | 2019 |
MEC Enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures P RANAWEERA, A JURCUT, M LIYANAGE ACM Computing Surveys, 2021 | 75 | 2021 |
A flow-based anomaly detection approach with feature selection method against ddos attacks in sdns MS El Sayed, NA Le-Khac, MA Azer, AD Jurcut IEEE Transactions on Cognitive Communications and Networking 8 (4), 1862-1880, 2022 | 73 | 2022 |
Deep learning based homomorphic secure search-able encryption for keyword search in blockchain healthcare system: A novel approach to cryptography A Ali, MF Pasha, J Ali, OH Fang, M Masud, AD Jurcut, MA Alzain Sensors 22 (2), 528, 2022 | 70 | 2022 |
Machine-learning techniques for detecting attacks in SDN MS Elsayed, NA Le-Khac, S Dev, AD Jurcut 2019 IEEE 7th International Conference on Computer Science and Network …, 2019 | 64 | 2019 |
A comparative study on online machine learning techniques for network traffic streams analysis A Shahraki, M Abbasi, A Taherkordi, AD Jurcut Computer Networks 207, 108836, 2022 | 61 | 2022 |
Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets E Gyamfi, A Jurcut Sensors 22 (10), 3744, 2022 | 60 | 2022 |
From statistical‐to machine learning‐based network traffic prediction I Lohrasbinasab, A Shahraki, A Taherkordi, A Jurcut Transactions on Emerging Telecommunications Technologies, e4394, 2021 | 59 | 2021 |
Active learning for network traffic classification: a technical study A Shahraki, M Abbasi, A Taherkordi, AD Jurcut IEEE Transactions on Cognitive Communications and Networking 8 (1), 422-439, 2021 | 54 | 2021 |
Realizing Multi-Access Edge Computing Feasibility: Security Perspective P Ranaweera, AD Jurcut, M Liyanage 2019 IEEE Conference on Standards for Communications and Networking (CSCN), 2019 | 47 | 2019 |
Secure communication channel architecture for software defined mobile networks M Liyanage, A Braeken, AD Jurcut, M Ylianttila, A Gurtov Computer Networks 114, 32-50, 2017 | 45 | 2017 |
Novel online network intrusion detection system for industrial IoT based on OI-SVDD and AS-ELM E Gyamfi, AD Jurcut IEEE Internet of Things Journal 10 (5), 3827-3839, 2022 | 42 | 2022 |
Novel MEC based Approaches for Smart Hospitals to Combat COVID-19 Pandemic P Ranaweera, M Liyanage, A Jurcut IEEE Consumer Electronics Magazine, 2020 | 40 | 2020 |
AGE: Authentication in gadget-free healthcare environments T Kumar, A Braeken, AD Jurcut, M Liyanage, M Ylianttila Information Technology and Management 21 (2), 95-114, 2020 | 35 | 2020 |