Abstract:In recent years, mobile edge computing (MEC) has become a research hotspot in academia. The Internet of Things (IoT) is an excellent way to build the infrastructure required for a MEC environment. Its rich digital tracking repository can provide insights into people's daily activities at home and elsewhere. Meanwhile, due to the open connectivity of the Internet of things devices, they can easily become the target of network attacks and be used by criminals as criminal tools. As a result, civil and criminal ca… Show more
“…Similarly, Alhussan et al [20] suggested a DRFM strategy to standardize DRF protocols and make it easier to store, share, and reuse information. Liang et al [21] proposed a forensic structure for the Internet of Things based on blockchain technology. Alotaibi et al [22] provided a comprehensive collection and analysis model for drone forensics which enables the collection of evidence from multiple sources and analysis using automated tools such as machine learning algorithms, while Studiawan et al [23] presented an innovative approach to forensic timeline analyses for drones.…”
Section: Related Work and Comparative Analysismentioning
In recent years, drones have become increasingly popular tools in criminal investigations, either as means of committing crimes or as tools to assist in investigations due to their capability to gather evidence and conduct surveillance, which has been effective. However, the increasing use of drones has also brought about new difficulties in the field of digital forensic investigation. This paper aims to contribute to the growing body of research on digital forensic investigations of drone accidents by proposing an innovative approach based on the use of digital twin technology to investigate drone accidents. The simulation is implemented as part of the digital twin solution using Robot Operating System (ROS) and simulated environments such as Gazebo and Rviz, demonstrating the potential of this technology to improve investigation accuracy and efficiency. This research work can contribute to the development of new and innovative investigation techniques.
“…Similarly, Alhussan et al [20] suggested a DRFM strategy to standardize DRF protocols and make it easier to store, share, and reuse information. Liang et al [21] proposed a forensic structure for the Internet of Things based on blockchain technology. Alotaibi et al [22] provided a comprehensive collection and analysis model for drone forensics which enables the collection of evidence from multiple sources and analysis using automated tools such as machine learning algorithms, while Studiawan et al [23] presented an innovative approach to forensic timeline analyses for drones.…”
Section: Related Work and Comparative Analysismentioning
In recent years, drones have become increasingly popular tools in criminal investigations, either as means of committing crimes or as tools to assist in investigations due to their capability to gather evidence and conduct surveillance, which has been effective. However, the increasing use of drones has also brought about new difficulties in the field of digital forensic investigation. This paper aims to contribute to the growing body of research on digital forensic investigations of drone accidents by proposing an innovative approach based on the use of digital twin technology to investigate drone accidents. The simulation is implemented as part of the digital twin solution using Robot Operating System (ROS) and simulated environments such as Gazebo and Rviz, demonstrating the potential of this technology to improve investigation accuracy and efficiency. This research work can contribute to the development of new and innovative investigation techniques.
“…Intrinsically designed to veil transactional specifics and impede fund flow tracking, these currencies have spurred researchers to innovate novel investigatory techniques. Methods ranging from the analysis of transaction histories of interconnected wallets to the deployment of probabilistic techniques for transaction detail inference have been proposed [17,18].…”
Digital forensics, a crucial subset of cybersecurity, encompasses sophisticated tools and methodologies for the interpretation, analysis, and investigation of digital evidence, facilitating the identification and mitigation of cybercrimes and security breaches. With the advent of cryptocurrencies, an array of unique challenges has emerged in the domain of digital forensic investigations. This review elucidates the prevailing state of digital forensic practices vis-à-vis cryptocurrencies, emphasizing the obstacles and limitations inherent in probing decentralized and intricate technologies. Notable deficiencies in extant investigative practices were observed. Solutions proffered encompass the formulation of novel software applications tailored for cryptocurrency analyses, the integration of machine learning and artificial intelligence capabilities, and the employment of advanced analytics to discern patterns and irregularities within blockchain transactions. Furthermore, a pioneering methodology, merging traditional digital forensic strategies with blockchain-specific techniques, is posited for efficacious cryptocurrency inquiries. The analysis underscores the imperative for a renewed paradigm in digital forensic examinations to surmount the challenges integral to cryptocurrency probes. By forging novel methodologies and standardizing investigative procedures, support for legal enforcement endeavors can be enhanced, facilitating the efficacious detection and prosecution of cryptocurrency-associated misdemeanors.
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