IoT forensics
Ψηφιακή εγκληματολογία στο Διαδίκτυο των Πραγμάτων
Doctoral Thesis
Author
Δραγώνας, Ευάγγελος
Dragonas, Evangelos
Date
2023View/ Open
Keywords
Digital forensics ; Internet of Things ; IoT ; Smart home ; Security system ; Motion sensor ; Opening sensor ; Closed-circuit television ; CCTV ; Surveillance system ; XIAOMI ; HIKVISION ; DAHUA technology ; AJAX systems ; Ψηφιακή εγκληματολογία ; Διαδίκτυο των Πραγμάτων ; ΔτΠ ; Έξυπνο σπίτι ; Σύστημα ασφαλείας ; Κλειστό κύκλωμα τηλεόρασης ; Καταγραφικό μηχάνημα ; Εγκληματολογικό λογισμικό ; ΑισθητήραςAbstract
The doctoral dissertation entitled “Internet of Things Forensics” focuses on the digital investigation (a.k.a. forensic analysis/examination/investigation) of a wide variety of devices that belong to the Internet of Things (IoT) realm.
This dissertation was primarily motivated by the observation that the IoT landscape is crowded with numerous active manufacturers with a diverse range of products. This heterogeneity complicates a comprehensive forensic analysis of the data stored within these devices, particularly when they are involved in criminal activity. Many reasons contribute to this complexity.
To begin with, each IoT device could store its data in a single location (e.g., a mobile companion app, cloud, etc.) or across multiple places. Secondly, the forensic software that an investigator has access to may not efficiently parse or not even access the data recorded by each IoT device. It is therefore evident that digital forensic examiners investigating a crime involving IoT products need to know where each IoT device saves its data, how to correctly interpret this information, avoiding misinterpretation, and be aware of the available tools that can assist with this assignment.
Considering the current number of IoT devices, accomplishing this task is almost impossible. As a consequence, forensic studies of IoT devices are invaluable. Their findings can serve as a reference for any investigator working on a case with similar appliances, or for digital forensic software companies seeking to update their products to better decode this information.
Therefore, this doctoral dissertation aims to shed light on selected IoT devices from a Digital Forensics perspective. To achieve this goal, forensic analysis of several IoT devices was carried out. The examined appliances were manufactured by leading companies in the IoT market and mainly fall under the categories of Security Systems and Closed-Circuit Television Surveillance Systems. During the course of this dissertation, new open-source digital forensic software was developed and existing software was updated based on the findings from the conducted research. By fulfilling the aforementioned goal, the intention is to aid investigators worldwide in their pursuit of justice and to assist digital forensic software companies in enhancing their products.