Drone Forensics and Machine Learning: Sustaining the Investigation Process is an open-access work by Zubair Baig, Majid Ali Khan, Nazeeruddin Mohammad, and Ghassen Ben Brahim.
Drones have been increasingly adopted to tackle several critical challenges, providing support and convenience in various fields. Advances in artificial intelligence, the Internet of Things (IoT), and the affordability of off-the-shelf devices have facilitated the widespread use of modern drones. These drones are now commonly deployed in hard-to-reach locations to deliver critical medical supplies, conduct surveillance, collect weather data, and provide home delivery services. While drones offer significant benefits to civilians, they have also been used for przestępca activities.
In this paper, the authors survey existing artificial intelligence techniques in the literature for processing dron data to uncover criminal activity. The authors propose a novel model that utilizes machine learning concepts to classify drone data as part of a digital forensic investigation. Their key findings suggest that adequately trained machine learning models show great potential for accurately assessing drone data obtained from crime scenes. Their badania paves the way for academics and industry practitioners to adopt machine learning techniques in the forensic analysis of drone data.
Data publikacji– April 2022
Drone Forensics and Machine Learning: Sustaining the Investigation Process contains the following major sections:
- Wprowadzenie
- Kontekst
- Machine Learning from Drone Forensics
- A Machine-Learning-Based Drone Forensics Framework
- Wnioski
Post Image Credit- envatoelements by atercorv
