Moses completed his BSc (Hons) in Computer Science from Benue State University. He moved on to complete his PGDE at National Open University, with a twelve months research period and thesis on the effects of sex hormones on male brain development during puberty. Moses moved on to complete his MSc (Distinction) in Computer Security and Digital Forensics at University of Bedfordshire with a four months research thesis on Forensic Data Extraction and Analysis of Left Artifacts on Virtual Android Phones: A case study of Instant messaging applications. He was a graduate assistant lecturer at the American University of Nigeria Academy in 2014. In 2014, he was selected as the best serving corp member and awarded NYSC presidential honors award. In 2018, he was a System Analyst at Federal Ministry of Communication and Digital Economy Abuja. In 2018, Moses won the Korean International Cooperation Agency in partnership with the Federal Ministry of Communication competition challenge for Capacity Building of e-Government in Nigeria. He is currently pursuing a Ph.D. at Cranfield University in how to use Artificial Intelligent Techniques for the detection and prevention of malicious attacks on Android mobile devices.
Moses Ashawa is a PhD research student at Digital Investigation Unit, part of Centre of Electronic Warfare, Information, and Cyber, Cranfield University, specialising in how to use Artificial Intelligent Techniques for the detection and prevention of malicious attacks on Android mobile devices.
Articles In Journals
- Ashawa MA & Morris S (2021) Android Permission Classifier: a deep learning algorithmic framework based on protection and threat levels, Security and Privacy, 4 (5) Article No. e164.
- Ntonja M & Ashawa M (2020) Examining artifacts generated by setting Facebook Messenger as a default SMS application on Android: implication for personal data privacy., Security and Privacy, 3 (6) Article No. 128.
- Ashawa MA & Morris S (2019) Analysis of Android malware detection techniques: a systematic review, International Journal of Cyber-Security and Digital Forensics, 8 (3) 177-187.
- Ashawa MA & Morris S (2019) Host-based detection and analysis of Android malware: implication for privilege exploitation, International Journal for Information Security Research, 9 (2) 871-880.
- Ashawa M & Ntonja M (2019) Design and implementation of Linux based workflow for digital forensics investigation, International Journal of Computer Applications, 181 (49) 40-46.