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ORCIDElMouatez Billah Karbab
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- affiliation: Concordia University, Montreal, Canada
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2020 – today
- 2024
[j12]Abdelouahab Amira
, Abdelouahid Derhab, Elmouatez Billah Karbab, Omar Nouali:
A Survey of Malware Analysis Using Community Detection Algorithms. ACM Comput. Surv. 56(2): 40:1-40:29 (2024)- 2023
- [j11]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab:
SwiftR: Cross-platform ransomware fingerprinting using hierarchical neural networks on hybrid features. Expert Syst. Appl. 225: 120017 (2023) - 2022
- [j10]Aniss Chohra, Paria Shirani, ElMouatez Billah Karbab, Mourad Debbabi:
Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection. Comput. Secur. 117: 102684 (2022) - [j9]Sadegh Torabi, Elias Bou-Harb, Chadi Assi, ElMouatez Billah Karbab, Amine Boukhtouta, Mourad Debbabi:
Inferring and Investigating IoT-Generated Scanning Campaigns Targeting a Large Network Telescope. IEEE Trans. Dependable Secur. Comput. 19(1): 402-418 (2022) - 2021
- [b1]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
Android Malware Detection using Machine Learning - Data-Driven Fingerprinting and Threat Intelligence. Advances in Information Security 86, Springer 2021, ISBN 978-3-030-74663-6, pp. 1-198 - [j8]Abdelouahab Amira, Abdelouahid Derhab, ElMouatez Billah Karbab, Omar Nouali, Farrukh Aslam Khan:
TriDroid: a triage and classification framework for fast detection of mobile threats in android markets. J. Ambient Intell. Humaniz. Comput. 12(2): 1731-1755 (2021) - [c9]ElMouatez Billah Karbab, Mourad Debbabi:
PetaDroid: Adaptive Android Malware Detection Using Deep Learning. DIMVA 2021: 319-340 - [i6]ElMouatez Billah Karbab, Mourad Debbabi:
Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques. CoRR abs/2105.13491 (2021) - 2020
- [j7]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
Scalable and robust unsupervised Android malware fingerprinting using community-based network partitioning. Comput. Secur. 96: 101932 (2020) - [j6]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
Scalable and robust unsupervised android malware fingerprinting using community-based network partitioning. Comput. Secur. 97: 101965 (2020) - [i5]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
Android Malware Clustering using Community Detection on Android Packages Similarity Network. CoRR abs/2005.06075 (2020)
2010 – 2019
- 2019
- [j5]ElMouatez Billah Karbab, Mourad Debbabi:
MalDy: Portable, data-driven malware detection using natural language processing and machine learning techniques on behavioral analysis reports. Digit. Investig. 28 Supplement: S77-S87 (2019) - [c8]Saed Alrabaee, ElMouatez Billah Karbab, Lingyu Wang, Mourad Debbabi:
BinEye: Towards Efficient Binary Authorship Characterization Using Deep Learning. ESORICS (2) 2019: 47-67 - 2018
- [j4]Houssem Eddine Bordjiba, ElMouatez Billah Karbab, Mourad Debbabi:
Data-driven approach for automatic telephony threat analysis and campaign detection. Digit. Investig. 24 Supplement: S131-S141 (2018) - [j3]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
MalDozer: Automatic framework for android malware detection using deep learning. Digit. Investig. 24 Supplement: S48-S59 (2018) - [c7]ElMouatez Billah Karbab, Mourad Debbabi:
ToGather: Automatic Investigation of Android Malware Cyber-Infrastructures. ARES 2018: 20:1-20:10 - [i4]ElMouatez Billah Karbab, Mourad Debbabi:
Automatic Investigation Framework for Android Malware Cyber-Infrastructures. CoRR abs/1806.08893 (2018) - [i3]ElMouatez Billah Karbab, Mourad Debbabi:
Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports. CoRR abs/1812.10327 (2018) - 2017
- [c6]Quentin Le Sceller, ElMouatez Billah Karbab, Mourad Debbabi, Farkhund Iqbal:
SONAR: Automatic Detection of Cyber Security Events over the Twitter Stream. ARES 2017: 23:1-23:11 - [i2]ElMouatez Billah Karbab, Mourad Debbabi, Saed Alrabaee, Djedjiga Mouheb:
DySign: Dynamic Fingerprinting for the Automatic Detection of Android Malware. CoRR abs/1702.05699 (2017) - [i1]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
Android Malware Detection using Deep Learning on API Method Sequences. CoRR abs/1712.08996 (2017) - 2016
- [j2]ElMouatez Billah Karbab, Mourad Debbabi, Djedjiga Mouheb:
Fingerprinting Android packaging: Generating DNAs for malware detection. Digit. Investig. 18 Supplement: S33-S45 (2016) - [c5]ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
Cypider: building community-based cyber-defense infrastructure for android malware detection. ACSAC 2016: 348-362 - [c4]ElMouatez Billah Karbab, Mourad Debbabi, Saed Alrabaee, Djedjiga Mouheb:
DySign: dynamic fingerprinting for the automatic detection of android malware. MALWARE 2016: 139-146 - 2015
- [j1]Djamel Djenouri, Elmouatezbillah Karbab, Sahar Boulkaboul, Antoine B. Bagula:
Networked Wireless Sensors, Active RFID, and Handheld Devices for Modern Car Park Management: WSN, RFID, and Mob Devs for Car Park Management. Int. J. Handheld Comput. Res. 6(3): 33-45 (2015) - [c3]Elmouatezbillah Karbab, Djamel Djenouri, Sahar Boulkaboul, Antoine B. Bagula:
Car park management with networked wireless sensors and active RFID. EIT 2015: 373-378 - 2013
- [c2]Antoine Bigomokero Bagula, Djamel Djenouri, Elmouatezbillah Karbab:
On the Relevance of Using Interference and Service Differentiation Routing in the Internet-of-Things. NEW2AN 2013: 25-35 - [c1]Antoine B. Bagula, Djamel Djenouri, Elmouatezbillah Karbab:
Ubiquitous sensor network management: The least interference beaconing model. PIMRC 2013: 2352-2356
Coauthor Index
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