| DL-Droid: Deep learning based android malware detection using real devices MK Alzaylaee, SY Yerima, S Sezer Computers & Security 89, 101663, 2020 | 363 | 2020 |
| Emulator vs real phone: Android malware detection using machine learning MK Alzaylaee, SY Yerima, S Sezer Proceedings of the 3rd ACM on International Workshop on Security and Privacy …, 2017 | 110 | 2017 |
| High accuracy phishing detection based on convolutional neural networks SY Yerima, MK Alzaylaee 2020 3rd International Conference on Computer Applications & Information …, 2020 | 73 | 2020 |
| DynaLog: An automated dynamic analysis framework for characterizing android applications MK Alzaylaee, SY Yerima, S Sezer 2016 International Conference On Cyber Security And Protection Of Digital …, 2016 | 73 | 2016 |
| Machine learning-based dynamic analysis of Android apps with improved code coverage SS Suleiman Y. Yerima, Mohammed K. Alzaylaee EURASIP Journal on Information Security, 1-24, 2019 | 56* | 2019 |
| Deep Learning Techniques for Android Botnet Detection SY Yerima, MK Alzaylaee, A Shajan, V P Electronics 10 (4), 519, 2021 | 42 | 2021 |
| Mobile botnet detection: A deep learning approach using convolutional neural networks SY Yerima, MK Alzaylaee 2020 International Conference on Cyber Situational Awareness, Data Analytics …, 2020 | 42 | 2020 |
| Improving dynamic analysis of android apps using hybrid test input generation MK Alzaylaee, SY Yerima, S Sezer 2017 International Conference on Cyber Security And Protection Of Digital …, 2017 | 33 | 2017 |
| Linear Node Movement Patterns in MANETS M Alzaylaee, J DeDourek, P Pochec The Ninth International Conference on Wireless and Mobile Communications …, 2013 | 4 | 2013 |
| Investigation of the linear node movement patterns in wireless networks M Alzaylaee University of New Brunswick, 2012 | 1 | 2012 |
| P, V. Deep Learning Techniques for Android Botnet Detection. Electronics 2021, 10, 519 SY Yerima, MK Alzaylaee, A Shajan s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Enhanced Machine Learning Based Dynamic Detection of Evasive Android Malware MKM Alzaylaee Queen's University Belfast. Faculty of Engineering and Physical Sciences, July, 2019 | | 2019 |
| Network Simulation A Alghamdi, M Alzaylaee, R Alghamdi | | |
Suleiman YerimaThe British University in DubaiVerified email at buid.ac.ae
