![]() The bulk_extractor is a stream-based forensic tool, meaning that it scans the entire media from beginning to end without seeking the disk head, and is fully parallelized, allowing it to work at the maximum I/O capabilities of the underlying hardware (provided that the system has sufficient CPU resources). The approach and implementation offer several important advances over today's forensic tools, including optimistic decompression of compressed data, context-based stop-lists, and the use of a “forensic path” to document both the physical location and forensic transformations necessary to reconstruct extracted evidence. Bulk data analysis and the bulk_extractor are designed to complement traditional forensic approaches, not replace them. This article presents the requirements, design and implementation of the bulk_extractor, a high-performance carving and feature extraction tool that uses bulk data analysis to allow the triage and rapid exploitation of digital media. Performance and time consumption wise, this study confirms the importance of automated object detection in digital forensics.īulk data analysis eschews file extraction and analysis, common in forensic practice today, and instead processes data in “bulk,” recognizing and extracting salient details (“features”) of use in the typical digital forensics investigation. ![]() Our approach aims to flag photos where suspicious objects are detected. Our approach acquires all image data at byte level from the suspect machine, perform fast and accurate object detection resorting to the deep learning-based algorithm and present high-level illustration of images containing suspicious object and unique objects that can be presented as evidence. In this paper, we provide a novel approach that solves a real-time problem for an investigator while investigating the suspect machine. It is a time consuming and a humanly difficult task to collect, process and analyze each media content manually. The majority of the effort in the present digital crime investigation network lies in the acquisition, retrieval, and investigation of existing data from digital machines. Pictures and video recordings are utilized to pass on convincing messages to be utilized under a few unique situations, from propaganda to coercing. Lately, digital data has increased a key role in providing and sharing information. ![]() For future trends, we encourage organizations who collaborate on the development of these tools to draw on their combined operational and programming skills to generate a relatively close solution that fits the needs of cyber-crime investigators. Forensic tools used in cybercrime investigations were reviewed and classified in this paper to explain the advantages and disadvantages of these tools. ![]() It was discovered that the majority of these tools focus on specific aspects of the search for evidence and ignore others. The purpose of this research was to assess a group of electronic forensic tools related to computers, networks, mobile devices, memory, and email. for that purpose, many digital forensic tools are available now to assist investigators in acquiring evidence using a variety of techniques. In order to stay up with this form of crime, forensic science must create electronic tools to find criminals and gather evidence that may be used in court. As a result, devices, smart phones, and computers are exposed to a variety of cyber attacks because of the data they hold. ![]() Increased data storage and use in today's environment increases the possibility of data being abused. ![]()
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