Towards Development of a High Abstract Model for Drone Forensic Domain

Electronics

卷:11

Abdel-Hamid M. Emara¹  Wael M. S. Yafooz¹  Amel Ali Alhussan²  Doaa Sami Khafaga²  Arafat Al-Dhaqm³  Shukor Bin Abd Razak³ 

[1]Department of Computer Science, College of Computer Science and Engineering, Taibah University, Medina 42353, Saudi Arabia

[2]|Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

[3]|Faculty of Engineering, School of Computing, Universiti Teknologi Malaysia (UTM), Johor Skudai 813110, Malaysia

关键词: drone forensic;    metamodel;    metamodeling;    metamodel transformation;    UAV;   

DOI  :  10.3390/electronics11081168

来源: DOAJ

【 摘 要 】

Drone Forensics (DRF) is one of the subdomains of digital forensics, which aims to capture and analyse the drone’s incidents. It is a diverse, unclear, and complex domain due to various drone field standards, operating systems, and infrastructure-based networks. Several DRF models and frameworks have been designed based on different investigation processes and activities and for the specific drones’ scenarios. These models make the domain more complex and unorganized among domain forensic practitioners. Therefore, there is a lack of a generic model for managing, sharing, and reusing the processes and activities of the DRF domain. This paper aims to develop A Drone Forensic Metamodel (DRFM) for the DRF domain using the metamodeling development process. The metamodeling development process is used for constructing and validating a metamodel and ensuring that the metamodel is complete and consistent. The developed DRFM consists of three main stages: (1) identification stage, (2) acquisition and preservation stage, and (3) examination and data analysis stage. It is used to structure and organize DRF domain knowledge, which facilitates managing, organizing, sharing, and reusing DRF domain knowledge among domain forensic practitioners. That aims to identify, recognize, extract and match different DRF processes, concepts, activities, and tasks from other DRF models in a developed DRFM. Thus, allowing domain practitioners to derive/instantiate solution models easily. The consistency and applicability of the developed DRFM were validated using metamodel transformation (vertical transformation). The results indicated that the developed DRFM is consistent and coherent and enables domain forensic practitioners to instantiate new solution models easily by selecting and combining concept elements (attribute and operations) based on their model requirement.

【 授权许可】

Unknown