Salamh Fahad E, Karabiyik Umit, Rogers Marcus K
Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, USA.
Sensors (Basel). 2019 Jul 24;19(15):3246. doi: 10.3390/s19153246.
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.
技术发明的快速步伐和网络通信的发展产生了一种充满各种机遇和挑战的新生活方式。包括无人机在内的遥控航空系统(RPAS)技术就是最近发明的一种技术实例,它需要收集大量可辩护且可采信的证据,以帮助消除其使用所带来的潜在现实世界威胁。随着智能手机的出现,为协助专业数字取证调查人员在法庭上提供可靠的取证证据而开发的数字取证调查流程有所增加。因此,有必要将数字取证技术和程序应用于不同类型的遥控航空系统,以便针对这些技术的使用所带来的新挑战(如与航空相关的事件)建立一道防线。恶意行为者的无人机操作正在迅速增加,而且这些行为者不断开发新方法。这些犯罪活动包括侵犯隐私、毒品走私和恐怖活动。此外,无人机坠毁和事故也引发了重大关注。在本文中,我们提出了一个由十个技术阶段组成的技术取证流程,用于分析遥控航空系统的取证工件,这可以降低无人机识别和调查的复杂性。使用所提出的技术流程,我们使用计算机取证参考数据集(CFReDS)分析无人机图像,并展示了由Yuneec公司制造的台风H型飞行器的分析结果。此外,本文探讨了数字证据的可用性和价值,这些证据将使更实际的数字调查能够建立基于证据的经验。因此,我们特别专注于开发一种可应用于各种类型无人机的技术无人机调查流程。