Development and validation of a Database Forensic Metamodel (DBFM)

被引:28
作者
Al-dhaqm, Arafat [1 ,2 ]
Razak, Shukor [1 ]
Othman, Siti Hajar [1 ]
Ngadi, Asri [1 ]
Ahmed, Mohammed Nazir [1 ]
Mohammed, Abdulalem Ali [1 ]
机构
[1] Univ Teknol Malaysia, Fac Comp, Dept Comp Sci, Skudai, Johor, Malaysia
[2] Aden Community Coll, Dept Comp Sci, Aden, Yemen
来源
PLOS ONE | 2017年 / 12卷 / 02期
关键词
REQUIREMENTS; MANAGEMENT; SYSTEMS;
D O I
10.1371/journal.pone.0170793
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:34
相关论文
共 106 条
[1]  
Ab Rahman NH, 2016, IEEE CLOUD COMPUT, V3, P50, DOI 10.1109/MCC.2016.5
[2]   Ideal log setting for database forensics reconstruction [J].
Adedayo, Oluwasola Mary ;
Olivier, Martin S. .
DIGITAL INVESTIGATION, 2015, 12 :27-40
[3]  
[Anonymous], DIMENSIONS RECONSTRU
[4]  
[Anonymous], FRAMEWORK DISCOVERIN
[5]  
[Anonymous], UN MOD LANG SPEC VER
[6]  
[Anonymous], 2012, WORKFLOW SUPPORT FOR
[7]  
[Anonymous], FEATURE SELECTION FL
[8]  
[Anonymous], ROLE TRIGGERS DATABA
[9]  
[Anonymous], EVIDENCE INVESTIGATI
[10]  
[Anonymous], DATABASE FORENSIC IN