Unmanned Aerial Vehicles (UAVs), also known as drones, provides unique functionalities, which allows area surveillance, Inspection, surveying, unarmed cargo, armed attack machines, and aerial photography. Although drones have been around for sometimes, mass adoption of this technology is new. The technology is widely adopted in fields including law enforcement, cartography, agriculture, disaster monitoring, and science research. Due to vulnerabilities, and the lack of stringent security implementation, drones are susceptible to GPS spoofing attacks, integrity attacks and de-authentication attacks. These attacks which can allow criminals to access data, intercept the drone and, and use it commit a crime and complicate forensic investigation. The need for standardized drone forensics is imperative in order to help identify vulnerabilities in different models of drones, solve drone related crime, and enhance security; thwarting any anti-forensic measure by criminals. Thus, this paper is presented to report on potential attacks against the Parrot Bebop 2 drone, and the ability for an investigator to collect evidence about the attacks on the drone. This paper aims at examining the possibility of establishing ownership and collecting data to reconstruct events, linking the drone controller with the drone to prove ownership, flight origins and other potentially useful information necessary to identify the proprietor of a crime. In addition, we have also proposed a small-scale drone ontology for modeling drone context data, and simple forensic processing framework for small-scale drones.