A metamodel for mobile forensics investigation domain A Ali, S Abd Razak, SH Othman, A Mohammed, F Saeed PloS one 12 (4), e0176223, 2017 | 15 | 2017 |
CDBFIP: Common database forensic investigation processes for internet of things A Al-Dhaqm, S Razak, SH Othman, KKR Choo, WB Glisson, A Ali, M Abrar IEEE Access 5, 24401-24416, 2017 | 13 | 2017 |
Development and validation of a Database Forensic Metamodel (DBFM) A Al-dhaqm, S Razak, SH Othman, A Ngadi, MN Ahmed, ... PloS one 12 (2), e0170793, 2017 | 13 | 2017 |
Towards adapting metamodelling technique for database forensics investigation domain AMR Al-Dhaqm, SH Othman, S Abd Razak, A Ngadi 2014 International Symposium on Biometrics and Security Technologies (ISBAST …, 2014 | 11 | 2014 |
A generic database forensic investigation process model A Al-Dhaqm, S Abd Razak, SH Othman, A Nagdi, A Ali Jurnal Teknologi 78 (6-11), 2016 | 10 | 2016 |
Conceptual investigation process model for managing database forensic investigation knowledge A Aldhaqm, S Abd Razak, SH Othman, A Ali, A Ngadi Research Journal of Applied Sciences, Engineering and Technology 12 (4), 386-394, 2016 | 8 | 2016 |
Detection and prevention of malicious activities on RDBMS relational database management systems M Ngadi, R Al-Dhaqm, A Mohammed International Journal of Scientific and Engineering Research 3 (9), 1-10, 2012 | 8 | 2012 |
Towards adapting metamodeling approach for the mobile forensics investigation domain A Ali, SA Razak, SH Othman, A Mohammed International Conference on Innovation in Science and Technology (lICIST), 5, 2015 | 7 | 2015 |
Extraction of common concepts for the mobile forensics domain A Ali, S Abd Razak, SH Othman, A Mohammed International Conference of Reliable Information and Communication …, 2017 | 6 | 2017 |
Categorization and organization of database forensic investigation processes A Al-Dhaqm, S Abd Razak, DA Dampier, KKR Choo, K Siddique, ... IEEE Access 8, 112846-112858, 2020 | 5 | 2020 |
Model derivation system to manage database forensic investigation domain knowledge A Al-Dhaqm, S Razak, SH Othman 2018 IEEE Conference on Application, Information and Network Security (AINS …, 2018 | 3 | 2018 |
Data Anonymization Using Pseudonym System to Preserve Data Privacy S Abd Razak, NHM Nazari, A Al-Dhaqm IEEE Access 8, 43256-43264, 2020 | 2 | 2020 |
Detecting Threats in Network Security by Analyzing Network Packets using Wireshark SAR Abdulalem Ali , Arafat Al - Dhaqm international Conference of Recent Trends in Information and Communication …, 2014 | 2 | 2014 |
Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach IU Onwuegbuzie, S Abd Razak, I Fauzi Isnin, TSJ Darwish, A Al-Dhaqm PloS one 15 (8), e0237154, 2020 | 1 | 2020 |
Towards the Development of an Integrated Incident Response Model for Database Forensic Investigation Field A Al-Dhaqm, S Abd Razak, K Siddique, RA Ikuesan, VR Kebande IEEE Access 8, 145018-145032, 2020 | 1 | 2020 |
Database Forensic Investigation Process Models: A Review A Al-Dhaqm, S Abd Razak, SH Othman, A Ali, FA Ghaleb, AS Rosman, ... IEEE Access 8, 48477-48490, 2020 | 1 | 2020 |
Common Investigation Process Model for Database Forensic Investiga-tion Discipline A Aldhaqm, S Abd Razak, SH Othman | 1 | |
Erratum to “Quantifying the need for supervised machine learning in conducting live forensics analysis of emergent configurations (ECO) in IoT environments”[Forensic Sci. Int … VR Kebande, RA Ikuesan, NM Karie, S Alawadi, KKR Choo, A Al-Dhaqm Forensic Science International: Reports 2, 100135, 2020 | | 2020 |
A Review of Mobile Forensic Investigation Process Models A Al-Dhaqm, S Abd Razak, RA Ikuesan, VR Kebande, K Siddique IEEE Access 8, 173359-173375, 2020 | | 2020 |
Quantifying the need for Supervised Machine Learning in Conducting Live Forensic Analysis of Emergent Configurations (ECO) in IoT Environments A 20. Kebande, Victor R. Ikuesan, Richard Adeyemi Karie, Nickson M. Alawadi ... Forensic Science International: Reports, 2020 | | 2020 |