عنوان انگلیسی مقاله:
A semi-automated forensic investigation model for online social networks
ترجمه فارسی عنوان مقاله:
یک مدل تحقیقات پزشکی قانونی نیمه خودکار برای شبکه های اجتماعی آنلاین
Sciencedirect - Elsevier - Computers & Security, 97 (2020) . doi:10.1016/j.cose.2020.101946
Humaira Arshad a , ∗, Esther Omlara b , Isaac Oludare Abiodun b , Abdulhai Aminu b
Investigating the online social network profiles of victims, suspects, and witnesses are now part of al- most every legal investigation, either it involves a criminal offense, financial fraud, or domestic lawsuit. However, investigating online social networks (OSN) is a technically complicated process that becomes more challenging due to the legal issues of privacy and authentication. Completely manual investigative methods are not feasible for OSN investigations due to the immense size and heterogeneity of social net- works. However, the existing models for digital forensic investigation are not supporting automated or semi-automated forensic investigation processes. Furthermore, they are not addressing the fundamental differences and specific requirements of online social networks. The model presented in this work incor- porates the robust features of standard investigation models and proposes a digital forensic investigation process model that explicitly addresses the necessities of OSN investigations. This work is addressing the issues of automating the forensic collection and analysis processes, defining crime scene boundaries, and outlining reasonable iterative collection procedures in online social network forensic investigation. This work is evaluated using a case study and is compared with existing practices and standards.
Keywords: Forensic investigation model | Online social networks | Formal theory | Automated forensic processes | Forensic collection | Iterative process model