Franklin Tchakounté
Orcid: 0000-0003-0723-2640Affiliations:
- University of Ngaoundéré, Cameroon
According to our database1,
Franklin Tchakounté
authored at least 20 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on cycomai.com
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Bibliography
2024
Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves.
SN Comput. Sci., October, 2024
Ensemble learning and deep learning-based defect detection in power generation plants.
J. Intell. Syst., February, 2024
2023
CoRR, 2023
Creating awareness about security and safety on highways to mitigate wildlife-vehicle collisions by detecting and recognizing wildlife fences using deep learning and drone technology.
CoRR, 2023
Support to Interaction Between Medical Practitioners and Patients: A Systematic Review.
Proceedings of the Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, 2023
Feature Analysis and Classification of Collusive Android App-Pairs Using DBSCAN Clustering Algorithm.
Proceedings of the Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, 2023
Proceedings of the Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, 2023
2022
Crawl-shing: A focused crawler for fetching phishing contents based on graph isomorphism.
J. King Saud Univ. Comput. Inf. Sci., 2022
J. King Saud Univ. Comput. Inf. Sci., 2022
Determinants of Cybercrime Victimization: Experiences and Multi-stage Recommendations from a Survey in Cameroon.
Proceedings of the Towards new e-Infrastructure and e-Services for Developing Countries, 2022
Mobile Money Phishing Cybercrimes: Vulnerabilities, Taxonomies, Characterization from an Investigation in Cameroon.
Proceedings of the Towards new e-Infrastructure and e-Services for Developing Countries, 2022
2021
EAI Endorsed Trans. Scalable Inf. Syst., 2021
LimonDroid: a system coupling three signature-based schemes for profiling Android malware.
Iran J. Comput. Sci., 2021
2020
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2020
A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News.
Inf., 2020
CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps Based on Sentiment Analysis of Reviews.
Future Internet, 2020
Detection of Vulnerabilities Related to Permissions Requests for Android Apps Using Machine Learning Techniques.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020
2017
Proceedings of the Mobile Security and Privacy, 2017
2015