Jema David Ndibwile

Orcid: 0000-0002-7962-2237

According to our database1, Jema David Ndibwile authored at least 17 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Using Machine Learning to Enhance the Detection of Obfuscated Abusive Words in Swahili: A Focus on Child Safety.
CoRR, February, 2026

Fairness-Aware Face Presentation Attack Detection Using Local Binary Patterns: Bridging Skin Tone Bias in Biometric Systems.
J. Cybersecur. Priv., 2026

2025
Benchmarking Deep Learning Models for Detecting SSRF Vulnerabilities: A Comparative Study.
Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025

2024
Uncovering SMS Spam in Swahili Text Using Deep Learning Approaches.
IEEE Access, 2024

2023
Investigating the Challenges Companies in Rwanda Face when Implementing Zero-Trust Network.
Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023

Natural Language Understanding for African Languages.
Proceedings of the 4th Workshop on African Natural Language Processing, 2023

2022
A Game or Notes? The Use of a Customized Mobile Game to Improve Teenagers' Phishing Knowledge, Case of Tanzania.
J. Cybersecur. Priv., June, 2022

Artificial Intelligence-Based Smart Grid Vulnerabilities and Potential Solutions for Fake-Normal Attacks: A Short Review.
CoRR, 2022

FakeAP Detector: An Android-Based Client-Side Application for Detecting Wi-Fi Hotspot Spoofing.
IEEE Access, 2022

Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach.
IEEE Access, 2022

2021
Detection of Username Enumeration Attack on SSH Protocol: Machine Learning Approach.
Symmetry, 2021

2019
A Demographic Perspective of Smartphone Security and Its Redesigned Notifications.
J. Inf. Process., 2019

An Empirical Approach to Phishing Countermeasures Through Smart Glasses and Validation Agents.
IEEE Access, 2019

To Coerce or Not to Coerce? A Quantitative Investigation on Cybersecurity and Cybercrime Legislations Towards Large-Scale Vulnerability Notifications.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

2018
A comparative study of smartphone-user security perception and preference towards redesigned security notifications.
Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities, 2018

2017
UnPhishMe: Phishing Attack Detection by Deceptive Login Simulation through an Android Mobile App.
Proceedings of the 12th Asia Joint Conference on Information Security, 2017

2015
Web Server Protection against Application Layer DDoS Attacks Using Machine Learning and Traffic Authentication.
Proceedings of the 39th Annual Computer Software and Applications Conference, 2015


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