| Deep android malware detection N McLaughlin, J Martinez del Rincon, BJ Kang, S Yerima, P Miller, ... Proceedings of the seventh ACM on conference on data and application …, 2017 | 606 | 2017 |
| DL-Droid: Deep learning based android malware detection using real devices MK Alzaylaee, SY Yerima, S Sezer Computers & Security 89, 101663, 2020 | 453 | 2020 |
| A new android malware detection approach using bayesian classification SY Yerima, S Sezer, G McWilliams, I Muttik 2013 IEEE 27th international conference on advanced information networking …, 2013 | 374 | 2013 |
| Droidfusion: A novel multilevel classifier fusion approach for android malware detection SY Yerima, S Sezer IEEE transactions on cybernetics 49 (2), 453-466, 2018 | 236 | 2018 |
| High accuracy android malware detection using ensemble learning SY Yerima, S Sezer, I Muttik IET Information Security 9 (6), 313-320, 2015 | 231 | 2015 |
| Analysis of Bayesian classification‐based approaches for Android malware detection SY Yerima, S Sezer, G McWilliams IET Information Security 8 (1), 25-36, 2014 | 209 | 2014 |
| Android malware detection using parallel machine learning classifiers SY Yerima, S Sezer, I Muttik Eighth International Conference on Next Generation Mobile Apps, Services and …, 2014 | 199 | 2014 |
| N-opcode analysis for android malware classification and categorization BJ Kang, SY Yerima, K McLaughlin, S Sezer 2016 International conference on cyber security and protection of digital …, 2016 | 138 | 2016 |
| 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 | 118 | 2017 |
| High accuracy phishing detection based on convolutional neural networks SY Yerima, MK Alzaylaee 2020 3rd International Conference on Computer Applications & Information …, 2020 | 98 | 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 | 86 | 2016 |
| N-gram Opcode Analysis for Android Malware Detection BJ Kang, SY Yerima, S Sezer, K McLaughlin International Journal on Cyber Situation al Awareness 1 (1), 231-255, 2016 | 66 | 2016 |
| Deep learning techniques for android botnet detection SY Yerima, MK Alzaylaee, A Shajan, V P Electronics 10 (4), 519, 2021 | 53 | 2021 |
| Machine learning-based dynamic analysis of Android apps with improved code coverage SY Yerima, MK Alzaylaee, S Sezer EURASIP Journal on Information Security 2019 (1), 4, 2019 | 43 | 2019 |
| 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 |
| Detection of Tor traffic using deep learning D Sarkar, P Vinod, SY Yerima 2020 IEEE/ACS 17th International Conference on Computer Systems and …, 2020 | 39 | 2020 |
| Longitudinal performance analysis of machine learning based Android malware detectors SY Yerima, S Khan 2019 International Conference on Cyber Security and Protection of Digital …, 2019 | 38 | 2019 |
| 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 | 38 | 2017 |
| Android malware detection: An eigenspace analysis approach SY Yerima, S Sezer, I Muttik 2015 Science and Information Conference (SAI), 1236-1242, 2015 | 38 | 2015 |
| A novel android botnet detection system using image-based and manifest file features SY Yerima, A Bashar Electronics 11 (3), 486, 2022 | 29 | 2022 |
