Digital Forensics Domain and Metamodeling Development Approaches

TL;DR

This paper reviews various metamodeling development approaches, compares them, and identifies the most suitable method for digital forensics to address complexity, interoperability, and heterogeneity challenges.

Contribution

It provides a comprehensive comparison of existing metamodeling approaches and recommends the best method for digital forensics applications.

Findings

Identified key advantages and disadvantages of each approach.

Compared approaches based on criteria relevant to digital forensics.

Selected the most suitable metamodeling approach for digital forensics.

Abstract

Metamodeling is used as a general technique for integrating and defining models from different domains. This technique can be used in diverse application domains, especially for purposes of standardization. Also, this process mainly has a focus on the identification of general concepts that exist in various problem domain and their relations and to solve complexity, interoperability, and heterogeneity aspects of different domains. Several diverse metamodeling development approaches have been proposed in the literature to develop metamodels. Each metamodeling development process has some advantages and disadvantages too. Therefore, the objective of this paper is to provide a comprehensive review of existing metamodeling development approaches and conduct a comparative study among them-eventually selecting the best approach for metamodel development in the perspective of digital forensics.