A Systematic Literature Review on Forensics in Cloud, IoT, AI & Blockchain

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

“…They analysed the devices using ADB to extract artefacts pertaining to health and device information. Ganesh et al [ 152 ] investigated AI use cases in forensics in different areas, such as blockchain, the IoT, and cloud computing, and examined forensic application cases in these areas using AI. They also conducted a systematic literature review to achieve the study’s objective.…”

“…Year Approach/Experiment IoT Zia et al [136] 2017 An application-specific digital forensics investigative model for the IoT Rizal et al [137] 2018 An evaluated network forensics method to detect flooding attacks Hou et al [138] 2019 A survey of IoT forensics in the technical, temporal, and spatial dimensions Jayakrishnan and Vasanthi [139] 2019 An attack simulation to identify advanced encryption standard (AES) keys Qatawneh et al [140] 2019 A digital forensics investigation model (DFIM) for the IoT Yaqoob et al [141] 2019 An IoT taxonomy based on different forensics processes Stoyanova et al [142] 2020 Cloud security challenges and data acquisition using blockchain Patil et al [143] 2020 A comparative analysis of IoT cyber forensics research Jayakrishnan and Vasanthi [144] 2020 A process model for forensics using an IoT HoneyNetCloud Atlam et al [145] 2020 IoT forensics techniques and the need for AI in IoT forensics Patel and Malek [146] 2020 Existing IoT forensics frameworks and their challenges Yang et al [147] 2020 Biometric-based authentication and forensics for the IoT Bandil and Al-Masri [148] 2020 Real-time events associated with IoT data streams Janarthanan et al [149] 2021 Challenges in smart home investigations and forensics Surange and Khatri [150] 2021 A survey of developments in IoT forensics and the identification of research gaps Kim et al [151] 2022 A data acquisition framework for smart devices Ganesh et al [152] 2022 AI use cases of forensics in blockchain, the IoT, and cloud computing…”

NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security

“…The DF approach depends on the investigators’ experience [ 24 , 25 ]. Some of the challenges related to the existing DF are presented as trustworthiness, integrity, provenance improvement, scalability, and availability [ 26 , 27 ]. In terms of trustworthiness, the system is supposed to check the trust if insider threats to the blockchain environment improve the trust of evidence [ 28 ].…”