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Development and validation of a Database Forensic Metamodel (DBFM)

تطوير والتحقق من صحة نموذج قاعدة بيانات الطب الشرعي (DBFM)
Authors: Arafat Al-Dhaqm; Shukor Abd Razak; Siti Hajar Othman; Md. Asri Ngadi; Mohammed Nazir Ahmed; Abdulalem Ali Mohammed;

Development and validation of a Database Forensic Metamodel (DBFM)

Abstract

El análisis forense de bases de datos (DBF) es un área de conocimiento generalizada. Tiene muchas características complejas y es bien conocido entre los investigadores y profesionales de bases de datos. Se han creado varios modelos y marcos específicamente para permitir el intercambio de conocimientos y actividades efectivas de DBF. Sin embargo, a menudo tienen un enfoque estrecho y abordan los tipos de incidentes especificados en la base de datos. Hemos analizado 60 de estos modelos en un intento de descubrir cuántas actividades de DBF son realmente públicas incluso cuando las acciones varían. A continuación, generamos una vista abstracta unificada de DBF en forma de metamodelo. Identificamos, extrajimos y propusimos un concepto común y conciliamos definiciones de conceptos para proponer un metamodelo. Hemos aplicado un proceso de metamodelación para garantizar que este metamodelo sea integral y consistente.

Database Forensics (DBF) est un domaine de connaissances très répandu. Il présente de nombreuses caractéristiques complexes et est bien connu des enquêteurs et des praticiens des bases de données. Plusieurs modèles et cadres ont été créés spécifiquement pour permettre le partage des connaissances et des activités efficaces du FBD. Cependant, ceux-ci sont souvent restreints et traitent des types d'incidents de base de données spécifiés. Nous avons analysé 60 de ces modèles dans le but de découvrir combien d'activités du DBF sont vraiment publiques même lorsque les actions varient. Nous générons ensuite une vue abstraite unifiée de DBF sous la forme d'un métamodèle. Nous avons identifié, extrait et proposé un concept commun et réconcilié les définitions de concepts pour proposer un métamodèle. Nous avons appliqué un processus de métamodélisation pour garantir que ce métamodèle est complet et cohérent.

Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often narrow in focus and address specified database incident types. We have analysed 60 such models in an attempt to uncover how numerous DBF activities are really public even when the actions vary. We then generate a unified abstract view of DBF in the form of a metamodel. We identified, extracted, and proposed a common concept and reconciled concept definitions to propose a metamodel. We have applied a metamodelling process to guarantee that this metamodel is comprehensive and consistent.

قاعدة بيانات الطب الشرعي (DBF) هي مجال واسع من المعرفة. يحتوي على العديد من الميزات المعقدة وهو معروف جيدًا بين محققي قاعدة البيانات والممارسين. تم إنشاء العديد من النماذج والأطر على وجه التحديد للسماح بتبادل المعرفة وأنشطة DBF الفعالة. ومع ذلك، غالبًا ما تكون هذه محدودة التركيز وتتناول أنواع حوادث قاعدة البيانات المحددة. لقد قمنا بتحليل 60 نموذجًا من هذا القبيل في محاولة للكشف عن عدد أنشطة DBF العامة حقًا حتى عندما تختلف الإجراءات. ثم نقوم بإنشاء رؤية مجردة موحدة لـ DBF في شكل نموذج ميتامودل. حددنا واستخرجنا واقترحنا مفهومًا مشتركًا وتوفيقنا بين تعريفات المفاهيم لاقتراح نموذج ميتامودل. لقد طبقنا عملية النمذجة الوصفية لضمان أن يكون هذا النموذج التفصيلي شاملاً ومتسقًا.

Keywords

FOS: Computer and information sciences, Databases, Factual, Data Stream Management Systems and Techniques, Computer Networks and Communications, Science, QoS-Aware Web Services Composition and Semantic Matching, Software mining, Metamodeling, Data science, Database, QA76 Computer software, Humans, Digital Forensics Research and Challenges, Data mining, Software construction, Software engineering, Physics, Q, Forensic Sciences, R, Reproducibility of Results, Software development, Optics, Models, Theoretical, Focus (optics), Computer science, Process (computing), Programming language, Digital Forensics, Computer Science, Physical Sciences, Medicine, Data Forensics, Software, Research Article, Information Systems

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green
gold