In line with the African Union’s 2024 focus on Education, Science, Technology, and Innovation (ESTI), our recent PhD graduate, Dr Zakaria Sawadogo, has made significant contributions to mobile security in Africa. His thesis, “Continuous evaluation of detection features of Android malware using machine learning,” tackles a critical challenge: safeguarding Android devices from malicious applications. This research is pivotal in safeguarding mobile devices, ensuring safer and more secure technology for users.
Understanding the Objective
The primary goal of this research was to explore how different parameters affect the performance of machine learning models in detecting malicious Android applications. This included analysing the quality and quantity of training data and the metrics used to evaluate model performance. Additionally, the study proposed new methods to improve the detection process, aiming to develop an efficient, large-scale detector.
Key Areas of Focus
One significant aspect of the research was understanding how imbalanced datasets influence the results of machine learning models. Imbalanced datasets, where some classes are underrepresented, can skew the performance of models. Dr Swaadogo found that balanced precision and geometric mean metrics were more effective in these scenarios. His paper on this topic was presented at the 24th International Conference on Advanced Communication Technologies (ICACT) in 2022 and published in the “Transactions on Advanced Communications Technology (TACT).”
Dr Sawadogo introduced several ground-breaking methods for improving Android malware detection. These include Zero-Vuln, which uses supervised deep learning to detect new malware with 83% accuracy, and DeepMalOb, which identifies obfuscated malicious apps via memory dumping and neural networks, achieving up to 99% accuracy. Enhanced DeepMalOb combines security risk analysis with Multilayer Perceptrons for hidden malware detection, while a behavior-based analysis method uses AI to uncover obscured threats. Additionally, the UFILA approach improves detection through incremental learning, achieving 99% accuracy and earning the Best Paper Award at ICACT.
The Mid@ndro architecture was developed to enhance the detection of malicious software on Android devices. This middleware solution coordinates effectively between the Android operating system and the end-user, optimizing malware detection. A specific middleware, AndroSafe, was implemented to detect malicious software on Android devices effectively. This work was also presented at the 6th International Conference on Cloud Computing and Artificial Intelligence (CloudTech) and published in IEEE Xplore.
Conclusion
This thesis has made significant strides in understanding the impact of evaluation metrics and data balance on machine learning models, introduced innovative methods for malware detection, and implemented these approaches in a practical software solution. These achievements contribute substantially to the field of computer security and the fight against mobile threats. Throughout the course of this research, nine scientific publications in esteemed international journals were produced.
Our PhD scholars have demonstrated exceptional dedication and expertise, paving the way for more secure mobile technologies. Their work is a testament to the importance of continuous research and innovation in protecting our digital world.




“Hereon specifically focuses on the generation of knowledge and new/sustainable technologies that facilitate the development of high-performance and environmentally friendly materials for mobility and biomedical applications. Rsif scholars will immensely benefit from Hereon through access to modern equipment for their research, consequently increasing possibilities for enhancing their research/findings and increasing their publication output/quality. They can also expect support, engagement and collaboration with expert scientists at Hereon”.
“ICRISAT values the partnership with ‘Partnership for Skills in Applied Sciences, Engineering and Technology (PASET)’ as it strongly believes that academic and scientific research cooperation and capacity building is fundamental to develop priority sectors such as agriculture in sub-Saharan Africa. Agriculture is the driver of rural development and a robust research capability at the national level can help countries achieve food and nutrition security. We look forward to collaborating with African Universities to empower smallholder farmers in the drylands of sub-Saharan Africa.” ~ Dr Jacqueline d’Arros Hughes, Director General of International Crops Research Institute for the Semi-Arid Tropics, 2023.