ElMouatez  Karbab
ElMouatez Karbab
E-mail confirmado em encs.concordia.ca - Página inicial
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MalDozer: Automatic framework for android malware detection using deep learning
EMB Karbab, M Debbabi, A Derhab, D Mouheb
Digital Investigation 24, S48-S59, 2018
842018
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
492015
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
492015
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
262017
Android malware detection using deep learning on API method sequences
EMB Karbab, M Debbabi, A Derhab, D Mouheb
arXiv preprint arXiv:1712.08996, 2017
222017
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
212013
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
192016
Fingerprinting Android packaging: Generating DNAs for malware detection
EMB Karbab, M Debbabi, D Mouheb
Digital Investigation 18, S33-S45, 2016
192016
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
162016
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
142019
On the relevance of using interference and service differentiation routing in the internet-of-things
AB Bagula, D Djenouri, E Karbab
Internet of Things, Smart Spaces, and Next Generation Networking, 25-35, 2013
132013
On the relevance of using interference and service differentiation routing in the internet-of-things
AB Bagula, D Djenouri, E Karbab
Internet of Things, Smart Spaces, and Next Generation Networking, 25-35, 2013
132013
MalDozer: automatic framework for android malware detection using deep learning. Digit. Invest
EB Karbab, M Debbabi, A Derhab, D Mouheb
82018
Networked wireless sensors, active RFID, and handheld devices for modern car park management: WSN, RFID, and Mob Devs for car park management
D Djenouri, EM Karbab, S Boulkaboul, A Bagula
International Journal of Handheld Computing Research (IJHCR) 6 (3), 33-45, 2015
62015
ToGather: automatic investigation of android malware cyber-infrastructures
EMB Karbab, M Debbabi
Proceedings of the 13th International Conference on Availability …, 2018
42018
Automatic investigation framework for android malware cyber-infrastructures
EMB Karbab, M Debbabi
arXiv preprint arXiv:1806.08893, 2018
42018
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, 2020
22020
BinEye: Towards Efficient Binary Authorship Characterization Using Deep Learning
S Alrabaee, EMB Karbab, L Wang, M Debbabi
European Symposium on Research in Computer Security, 47-67, 2019
22019
Resilient and Scalable Android Malware Fingerprinting and Detection
EMB Karbab
Concordia University, 2020
12020
Portable, data-driven malware detection using language processing and machine learning techniques on behavioral analysis reports
EMB Karbab, M Debbabi
arXiv preprint arXiv:1812.10327, 2018
12018
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