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RPAS Forensic Validation Analysis Towards a Technical Investigation Process: A Case Study of Yuneec Typhoon H

机译:面向技术调查过程的RPAS法证验证分析:以Yuneec台风H为例

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摘要

The rapid pace of invention in technology and the evolution of network communication has produced a new lifestyle with variety of opportunities and challenges. Remotely Piloted Aerial Systems (RPAS) technology, which includes drones, is one example of a recently invented technology that requires the collection of a solid body of defensible and admissible evidence to help eliminate potential real-world threats posed by their use. With the advent of smartphones, there has been an increase in digital forensic investigation processes developed to assist specialized digital forensic investigators in presenting forensically sound evidence in the courts of law. Therefore, it is necessary to apply digital forensic techniques and procedures to different types of RPASs in order to create a line of defense against new challenges, such as aerial-related incidents, introduced by the use of these technologies. Drone operations by bad actors are rapidly increasing and these actors are constantly developing new approaches. These criminal operations include invasion of privacy, drug smuggling, and terrorist activities. Additionally, drone crashes and incidents raise significant concerns. In this paper, we propose a technical forensic process consisting of ten technical phases for the analysis of RPAS forensic artifacts, which can reduce the complexity of the identification and investigation of drones. Using the proposed technical process, we analyze drone images using the Computer Forensics Reference Datasets (CFReDS) and present results for the Typhoon H aerial vehicle manufactured by Yuneec, Inc. Furthermore, this paper explores the availability and value of digital evidence that would allow a more practical digital investigation to be able to build an evidence-based experience. Therefore, we particularly focus on developing a technical drone investigation process that can be applied to various types of drones.
机译:技术发明的飞速发展和网络通信的发展产生了一种新的生活方式,充满了机遇和挑战。包括无人机在内的远程驾驶航空系统(RPAS)技术是最近发明的技术的一个示例,该技术需要收集可靠且可接收的证据的实体,以帮助消除因使用它们而造成的潜在现实威胁。随着智能手机的出现,为协助专业的数字法证调查人员在法庭上提供可靠的法证证据而开发的数字法证调查程序已经越来越多。因此,有必要将数字取证技术和程序应用于不同类型的RPAS,以便为使用这些技术引入的新挑战(例如与航空相关的事件)建立防御线。不良行为者的无人机操作正在迅速增加,这些行为者正在不断开发新方法。这些犯罪活动包括侵犯隐私,走私毒品和恐怖活动。此外,无人机坠毁和事故引起了人们的极大关注。在本文中,我们提出了一个技术取证过程,该过程由十个技术阶段组成,用于分析RPAS取证伪像,可以减少无人机识别和调查的复杂性。使用建议的技术流程,我们使用计算机取证参考数据集(CFReDS)分析无人机图像,并提供由Yuneec,Inc.生产的Typhoon H飞行器的结果。此外,本文探索了数字证据的可用性和价值,这些证据将使更实用的数字调查,以建立基于证据的体验。因此,我们特别专注于开发可应用于各种类型无人机的技术无人机调查流程。

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