Yerima, S. Y. and Bashar, A. (2021) Bot-IMG: A framework for image-based detection of Android botnets using machine learning. 18th ACS/IEEE International Conference on Computer systems and Applications (AICCSA 2021), Tangier, Morocco, 30 Nov – 3 Dec 2021
Vishnu, P.R., Vinod, P. and Yerima, S.Y. (2022) A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network. Journal of Network and Systems Management, 30, 9.
Yerima, S. Y., Alzaylaee, M.K., Shajan, A., and Vinod P (2021) Deep learning Techniques for Android Botnet detection. Electronics 2021, 10, 519. https://doi.org/10.3390/electronics10040519
Sarkar, D., Vinod P, Yerima, S. Y. (2020) “Detection of Tor Traffic using deep learning” 17th ACS/IEEE int. conf. on computer systems and applications AICCSA 2020, Antalya, Turkey, Nov. 2nd to 5th 2020.
Yerima, S. Y. and Alzaylaee, M . K. (2020) "Mobile Botnet Detection: A deep learning approach using convolutional neural networks". IEEE International Conference on Cyber Situational Awareness, Data Analytics and Assessment (Cyber SA 2020), Dublin, Ireland, 15-19 June, 2020.
Yerima, S. Y. and Alzaylaee, M. K. (2020) "High accuracy phishing detection using convolutional neural networks". Third International Conference on Computer Applications & Information Security (ICCAIS 2020), Riyadh, Saudi Arabia, 19-21 March, 2020 .
Alzaylaee, M.K., Yerima, S.Y. and Sezer, S.(2020) DL-Droid: Deep learning Based android malware detection using real devices, Computers &Security, 89, 10163
Yerima, S.Y., Alzaylaee,M.K. and Sezer, S.(2019) Machine learning-based dynamic analysis of Android apps with improved code coverage. EURASIP Journal on Information Security,4, p .1-24
Yerima, S.Y. and Khan, S. (2019) "Longitudinal performance analysis of machine learning based Android malware detectors" IEEE International Conference on Cybersecurity and Protection of Digital Services (Cyber Security 2019), Oxford, UK, 3-4 June 2019.
Yerima, S. Y. and Sezer, S. (2018) DroidFusion: a novel multilevel classifier fusion approach for Android malware detection. IEEE Transactions on Cybernetics 49 (2), 453-466. DOI: 10.1109/TCYB.2017.2777960
Publication list on Google Scholar: suleiman yerima - Google Scholar
Publication list on DBLP: dblp: Suleiman Y. Yerima