| Analysis of android malware detection techniques: a systematic review MA Ashawa, S Morris Society of Digital Information and Wireless Communications, 2019 | 30 | 2019 |
| Effective methods to detect metamorphic malware: a systematic review M Irshad, HM Al-Khateeb, A Mansour, M Ashawa, M Hamisu International Journal of Electronic Security and Digital Forensics 10 (2 …, 2018 | 23 | 2018 |
| RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm M Ashawa, O Douglas, J Osamor, R Jackie Journal of Cloud Computing 11 (1), 87, 2022 | 21 | 2022 |
| Analysis of mobile malware: a systematic review of evolution and infection strategies M Ashawa, S Morris جامعة نايف العربية للعلوم الأمنية, 2021 | 13 | 2021 |
| Forensic data extraction and analysis of left artifacts on emulated android phones: a case study of instant messaging applications M Ashawa, I Ogwuche Seizure 19, 16, 2017 | 11 | 2017 |
| Android permission classifier: a deep learning algorithmic framework based on protection and threat levels M Ashawa, S Morris Security and Privacy 4 (5), e164, 2021 | 7 | 2021 |
| Vulnerability Assessment and Evaluation of Associated Attacks on Physical and Virtual Networks. M Ashawa IUP Journal of Computer Sciences 12 (2), 2018 | 7 | 2018 |
| Modeling correlation between android permissions based on threat and protection level using exploratory factor plane analysis M Ashawa, S Morris Journal of Cybersecurity and Privacy 1 (4), 704-742, 2021 | 6 | 2021 |
| Host-based detection and analysis of android malware: Implication for privilege exploitation M Ashawa, S Morris prevalence 8 (9), 10-11, 2019 | 6 | 2019 |
| Investigating Google Chrome 66.0. 3359 artefact: internet forensics approach N Morris, A Moses International Journal of Computer Science and Mobile Computing 7, 112-122, 2018 | 4 | 2018 |
| Enhancing credit card fraud detection: an ensemble machine learning approach AR Khalid, N Owoh, O Uthmani, M Ashawa, J Osamor, J Adejoh Big Data and Cognitive Computing 8 (1), 6, 2024 | 3 | 2024 |
| Analysis of mobile malware, evolution and infection strategies: A systematic review M Ashawa, S Morris NAUSS, 2021 | 2 | 2021 |
| Examining artifacts generated by setting Facebook Messenger as a default SMS application on Android: Implication for personal data privacy M Ntonja, M Ashawa Security and Privacy 3 (6), e128, 2020 | 2 | 2020 |
| Design and implementation of Linux based workflow for digital forensics investigation MA Ashawa, M Ntonja Foundation of Computer Science, 2019 | 2 | 2019 |
| An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing N Owoh, J Riley, M Ashawa, S Hosseinzadeh, A Philip, J Osamor Sensors 24 (7), 2353, 2024 | | 2024 |
| An Exploration of shared code execution for malware analysis M Ashawa, NP Owoh, J Riley, J Osamor, S Hosseinzadeh 2024 International Conference on Artificial Intelligence, Computer, Data …, 2024 | | 2024 |
| Explainable Machine Learning for LoRaWAN Link Budget Analysis and Modeling S Hosseinzadeh, M Ashawa, N Owoh, H Larijani, K Curtis Sensors 24 (3), 860, 2024 | | 2024 |
| Explainable Machine Learning for LoRaWAN Link Budget Analysis and Modeling HLKC Salaheddin Hosseinzadeh , Moses Ashawa, Nsikak Owoh sensors, 1-14, 2024 | | 2024 |
| Digital Forensics Challenges in Cyberspace: Overcoming Legitimacy and Privacy Issues Through Modularisation M Ashawa, A Mansour, J Riley, J Osamor, NP Owoh Cloud Computing and Data Science, 140-156, 2024 | | 2024 |
| Penetration Testing: Analysis of Emerging Technologies and Their Impact on Pen Testing M Ashawa, SJ Kpelai Int J Eng Tech & Inf 4 (4), 1-4, 2023 | | 2023 |
