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2020 – today
- 2024
[j9]Ali Boudjema
, Faiza Titouna, Chafiq Titouna:
AReNet: Cascade learning of multibranch convolutional neural networks for human activity recognition. Multim. Tools Appl. 83(17): 51099-51128 (2024)- [i1]Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam:
Addressing Trust Challenges in Blockchain Oracles Using Asymmetric Byzantine Quorums. CoRR abs/2401.00175 (2024) - 2023
- [c24]Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam:
Scalable Blockchain System for Load Balancing DNS Servers Using Heuristic Sharding. BCCA 2023: 420-425 - [c23]Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam:
Scaling a Blockchain System from Eventual to Full Atomicity Using Confederation Approach. BRAINS 2023: 1-2 - [c22]Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam:
Prioritised Sharding: A Novel Approach to Enhance Blockchain Scalability. BRAINS 2023: 1-2 - [c21]Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam, Ahmed Serhrouchni:
Scaling A Blockchain System With Layered Architecture. CommNet 2023: 1-6 - [c20]Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam, Ahmed Serhrouchni:
Scalable Blockchain Through Prioritised Sharding. CommNet 2023: 1-6 - [c19]Somia Bibi, Chafiq Titouna, Faiza Titouna, Farid Naït-Abdesselam:
An LSTM-Based Outlier Detection Approach for IoT Sensor Data in Hierarchical Edge Computing. SoftCOM 2023: 1-6 - [c18]Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam:
Asymmetric Byzantine Quorum Approach to Resolve Trust Issues in Decentralized Blockchain Oracles. SoftCOM 2023: 1-6 - 2022
- [c17]Farid Naït-Abdesselam, Asim Darwaish, Chafiq Titouna:
Malware Forensics: Legacy Solutions, Recent Advances, and Future Challenges. Honoring Professor Mohammad S. Obaidat 2022: 685-710 - [c16]Farid Naït-Abdesselam, Chafiq Titouna, Ashfaq Khokhar:
Detecting False Data Injections in Images Collected by Drones: A Deep Learning Approach. GLOBECOM 2022: 263-268 - [c15]Chafiq Titouna, Farid Naït-Abdesselam:
A False Data Injection Attack Detection Approach Using Convolutional Neural Networks in Unmanned Aerial Systems. ISCC 2022: 1-6 - 2021
- [c14]Asim Darwaish, Farid Naït-Abdesselam, Chafiq Titouna, Sumera Sattar:
Robustness of Image-based Android Malware Detection Under Adversarial Attacks. ICC 2021: 1-6 - [c13]Chafiq Titouna, Farid Naït-Abdesselam:
A Lightweight Security Technique For Unmanned Aerial Vehicles Against GPS Spoofing Attack. IWCMC 2021: 819-824 - [c12]Chafiq Titouna, Farid Naït-Abdesselam:
Securing Unmanned Aerial Systems Using Mobile Agents and Artificial Neural Networks. IWCMC 2021: 825-830 - 2020
- [j8]Jocelyn Edinio Zacko Gbadouissa, Ado Adamou Abba Ari, Chafiq Titouna, Abdelhak Mourad Guéroui, Ousmane Thiare:
HGC: HyperGraph based Clustering scheme for power aware wireless sensor networks. Future Gener. Comput. Syst. 105: 175-183 (2020) - [j7]Arouna Ndam Njoya, Ado Adamou Abba Ari, Marah Nana Awa, Chafiq Titouna, Nabila Labraoui, Joseph Yves Effa, Wahabou Abdou, Abdelhak Guéroui:
Hybrid Wireless Sensors Deployment Scheme with Connectivity and Coverage Maintaining in Wireless Sensor Networks. Wirel. Pers. Commun. 112(3): 1893-1917 (2020) - [c11]Farid Naït-Abdesselam, Chafiq Titouna:
Data Quality Improvements for Internet of Things Using Artificial Neural Networks. IEEE ANTS 2020: 1-6 - [c10]Chafiq Titouna, Farid Naït-Abdesselam:
An Efficient Probabilistic Model for Anomaly Prediction in Aerial Ad Hoc Networks. IEEE ANTS 2020: 1-6 - [c9]Chafiq Titouna, Farid Naït-Abdesselam, Hassine Moungla:
An Online Anomaly Detection Approach For Unmanned Aerial Vehicles. IWCMC 2020: 469-474 - [c8]Farid Naït-Abdesselam, Asim Darwaish, Chafiq Titouna:
An Intelligent Malware Detection and Classification System Using Apps-to-Images Transformations and Convolutional Neural Networks. WiMob 2020: 1-6 - [c7]Chafiq Titouna, Farid Naït-Abdesselam, Asim Darwaish:
A Data Cleansing Approach In Smart Home Environments Using Artificial Neural Networks. WiMob 2020: 1-6
2010 – 2019
- 2019
- [j6]Chafiq Titouna, Farid Naït-Abdesselam, Ashfaq Khokhar:
DODS: A Distributed Outlier Detection Scheme for Wireless Sensor Networks. Comput. Networks 161: 93-101 (2019) - [j5]Ado Adamou Abba Ari, Abdelhak Guéroui, Chafiq Titouna, Ousmane Thiare, Zibouda Aliouat:
Resource allocation scheme for 5G C-RAN: a Swarm Intelligence based approach. Comput. Networks 165 (2019) - [c6]Chafiq Titouna, Hamouma Moumen, Ado Adamou Abba Ari:
Cluster Head Recovery Algorithm for Wireless Sensor Networks. CoDIT 2019: 1905-1910 - [c5]Chafiq Titouna, Farid Naït-Abdesselam, Ashfaq Khokhar:
A Multivariate Outlier Detection Algorithm for Wireless Sensor Networks. ICC 2019: 1-6 - [c4]Chafiq Titouna, Farid Naït-Abdesselam, Ashfaq Khokhar:
A Novel Data Cleansing Approach for Sensitive Applications of Wireless Sensor Networks. SmartNets 2019: 1-6 - 2018
- [c3]Chafiq Titouna, Ado Adamou Abba Ari, Hamouma Moumen:
FDRA: Fault Detection and Recovery Algorithm for Wireless Sensor Networks. MobiWIS 2018: 72-85 - 2017
- [j4]Chafiq Titouna, Abdelhak Mourad Guéroui, Makhlouf Aliouat, Ado Adamou Abba Ari, Amine Adouane:
Distributed Fault-Tolerant Algorithm for Wireless Sensor Networks. Int. J. Commun. Networks Inf. Secur. 9(2) (2017) - [j3]Ado Adamou Abba Ari, Irepran Damakoa, Abdelhak Guéroui, Chafiq Titouna, Nabila Labraoui, Guidedi Kaladzavi, Blaise Omer Yenke:
Bacterial Foraging Optimization Scheme for Mobile Sensing in Wireless Sensor Networks. Int. J. Wirel. Inf. Networks 24(3): 254-267 (2017) - [c2]Ado Adamou Abba Ari, Irepran Damakoa, Chafiq Titouna, Nabila Labraoui, Abdelhak Guéroui:
Efficient and Scalable ACO-Based Task Scheduling for Green Cloud Computing Environment. SmartCloud 2017: 66-71 - 2016
- [j2]Chafiq Titouna, Makhlouf Aliouat, Abdelhak Mourad Guéroui:
FDS: Fault Detection Scheme for Wireless Sensor Networks. Wirel. Pers. Commun. 86(2): 549-562 (2016) - [c1]Ado Adamou Abba Ari, Abdelhak Mourad Guéroui, Nabila Labraoui, Blaise Omer Yenke, Chafiq Titouna, Irepran Damakoa:
Adaptive scheme for collaborative mobile sensing in wireless sensor networks: Bacterial foraging optimization approach. PIMRC 2016: 1-6 - 2015
- [j1]Chafiq Titouna, Makhlouf Aliouat, Abdelhak Mourad Guéroui:
Outlier Detection Approach Using Bayes Classifiers in Wireless Sensor Networks. Wirel. Pers. Commun. 85(3): 1009-1023 (2015)
Coauthor Index
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