Date of Award
5-2024
Document Type
Thesis
Degree Name
Master of Science (MS)
College/School
College of Science and Mathematics
Department/Program
Computer Science
Thesis Sponsor/Dissertation Chair/Project Chair
Bharath Kumar Samanthula
Committee Member
Boxiang Dong
Committee Member
Jiacheng Shang
Abstract
Advancement in drone technology, particularly for smaller drones, are creating new research fields and potential applications, particularly with regard to smaller drones. On the other hand, these enhancements bring forth additional hurdles in terms of adaptability, homogeneity, and safety. The purpose of this study is to investigate the science and technology behind drones, as well as their applications, the many ways in which citizens implement them, and the risks, precautions, and privacy problems that are associated with their utilization. This article discusses the existing literature, as well as the available solutions for drone cybersecurity, the security challenges related with drones and data sources, and the existing literature. Although small drones have the potential to assist both the commercial and military sectors, there is still room for improvement in terms of their architecture and security. Internet of Things (IoT) technology has the potential to advance drone technology, but it also raises new worries about privacy and safety. The Internet of Things is seeing exponential growth. To achieve the level of development necessary to fulfill the criteria of the domain, extremely small drones need to be equipped with security, privacy, and data transformation strategies. To conduct digital forensics, we make use of the Autopsy, FTK Imager, and DJI Assistance tools. This allows us to retrieve all flight data that was captured by a drone, including data that has been destroyed. The results of our research can be utilized to develop data recovery procedures for drone forensics that are suitable for any model of drone.
File Format
Recommended Citation
Nayak, Smit Chandrakant, "Data Recovery Beyond the Obvious Using Digital Forensic Techniques" (2024). Theses, Dissertations and Culminating Projects. 1407.
https://digitalcommons.montclair.edu/etd/1407