小型数字设备的法医调查:未来的观点

Farkhund Iqbal, Aasia Jaffri, Zainab Khalid, Áine MacDermott, Qazi Ejaz Ali, Patrick C. K. Hung
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引用次数: 1

摘要

小型数字设备,如智能手机、智能玩具、无人机、游戏机、平板电脑和其他个人数据助手,现在已经成为我们日常生活中根深蒂固的组成部分。这些设备存储了大量与用户个人特征、日常操作、病史和财务信息相关的数据。与此同时,随着技术的不断发展,操作系统、客户端存储位置、远程/云存储和备份以及加密实践的多样性使得取证分析任务具有多面性。这使得法医调查人员不得不应对一系列新的挑战。本研究回顾了用于调查小型数字设备的法医框架和程序。在强调数字取证所面临的挑战的同时,我们探讨了区块链、人工智能、机器学习和数据科学等尖端技术如何在解决问题方面发挥作用。该审查旨在积累最先进的技术,并确定一种未来的方法来研究固态硬盘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forensic investigation of small-scale digital devices: a futuristic view
Small-scale digital devices like smartphones, smart toys, drones, gaming consoles, tablets, and other personal data assistants have now become ingrained constituents in our daily lives. These devices store massive amounts of data related to individual traits of users, their routine operations, medical histories, and financial information. At the same time, with continuously evolving technology, the diversity in operating systems, client storage localities, remote/cloud storages and backups, and encryption practices renders the forensic analysis task multi-faceted. This makes forensic investigators having to deal with an array of novel challenges. This study reviews the forensic frameworks and procedures used in investigating small-scale digital devices. While highlighting the challenges faced by digital forensics, we explore how cutting-edge technologies like Blockchain, Artificial Intelligence, Machine Learning, and Data Science may play a role in remedying concerns. The review aims to accumulate state-of-the-art and identify a futuristic approach for investigating SSDDs.
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