| MalDozer: Automatic framework for android malware detection using deep learning EMB Karbab, M Debbabi, A Derhab, D Mouheb Digital investigation 24, S48-S59, 2018 | 413 | 2018 |
| Car park management with networked wireless sensors and active RFID EM Karbab, D Djenouri, S Boulkaboul, A Bagula 2015 IEEE international conference on electro/information technology (EIT …, 2015 | 87 | 2015 |
| Sonar: Automatic detection of cyber security events over the twitter stream Q Le Sceller, EMB Karbab, M Debbabi, F Iqbal Proceedings of the 12th International Conference on Availability …, 2017 | 82 | 2017 |
| Maldy: Portable, data-driven malware detection using natural language processing and machine learning techniques on behavioral analysis reports EMB Karbab, M Debbabi Digital Investigation 28, S77-S87, 2019 | 76 | 2019 |
| Android malware detection using deep learning on api method sequences EMB Karbab, M Debbabi, A Derhab, D Mouheb arXiv preprint arXiv:1712.08996, 2017 | 61 | 2017 |
| Inferring and investigating IoT-generated scanning campaigns targeting a large network telescope S Torabi, E Bou-Harb, C Assi, EMB Karbab, A Boukhtouta, M Debbabi IEEE Transactions on Dependable and Secure Computing 19 (1), 402-418, 2020 | 43 | 2020 |
| Dysign: dynamic fingerprinting for the automatic detection of android malware EMB Karbab, M Debbabi, S Alrabaee, D Mouheb 2016 11th International Conference on Malicious and Unwanted Software …, 2016 | 39 | 2016 |
| Fingerprinting Android packaging: Generating DNAs for malware detection EMB Karbab, M Debbabi, D Mouheb Digital Investigation 18, S33-S45, 2016 | 36 | 2016 |
| Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection A Chohra, P Shirani, EMB Karbab, M Debbabi Computers & Security 117, 102684, 2022 | 32 | 2022 |
| Cypider: building community-based cyber-defense infrastructure for android malware detection EMB Karbab, M Debbabi, A Derhab, D Mouheb Proceedings of the 32nd Annual Conference on Computer Security Applications …, 2016 | 30 | 2016 |
| Ubiquitous sensor network management: The least interference beaconing model A Bagula, D Djenouri, E Karbab 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and …, 2013 | 29 | 2013 |
| BinEye: Towards Efficient Binary Authorship Characterization Using Deep Learning S Alrabaee, EMB Karbab, L Wang, M Debbabi Computer Security–ESORICS 2019: 24th European Symposium on Research in …, 2019 | 24 | 2019 |
| On the relevance of using interference and service differentiation routing in the internet-of-things AB Bagula, D Djenouri, E Karbab Conference on Internet of Things and Smart Spaces, 25-35, 2013 | 19 | 2013 |
| Petadroid: adaptive android malware detection using deep learning EMB Karbab, M Debbabi International Conference on Detection of Intrusions and Malware, and …, 2021 | 17 | 2021 |
| Scalable and robust unsupervised android malware fingerprinting using community-based network partitioning EMB Karbab, M Debbabi, A Derhab, D Mouheb computers & security 96, 101932, 2020 | 13 | 2020 |
| ToGather: automatic investigation of android malware cyber-infrastructures EMB Karbab, M Debbabi Proceedings of the 13th International Conference on Availability …, 2018 | 13 | 2018 |
| TriDroid: a triage and classification framework for fast detection of mobile threats in android markets A Amira, A Derhab, EMB Karbab, O Nouali, FA Khan Journal of Ambient Intelligence and Humanized Computing 12, 1731-1755, 2021 | 12 | 2021 |
| SwiftR: Cross-platform ransomware fingerprinting using hierarchical neural networks on hybrid features EMB Karbab, M Debbabi, A Derhab Expert Systems with Applications 225, 120017, 2023 | 11 | 2023 |
| Android malware detection using machine learning: data-driven fingerprinting and threat intelligence EMB Karbab, M Debbabi, A Derhab, D Mouheb Springer, 2021 | 10 | 2021 |
| Automatic investigation framework for android malware cyber-infrastructures EMB Karbab, M Debbabi arXiv preprint arXiv:1806.08893, 2018 | 9 | 2018 |
Mourad DebbabiDean, Professor, Hydro-Québec Hitachi Research Chair, Concordia University在 concordia.ca 的电子邮件经过验证
