US DOI Halts Operations For Its Entire Drone Fleet Over Chinese Cybersecurity Concerns
US DOI Halts Operations For Its Entire Drone Fleet Over Chinese Cybersecurity Concerns ->->->-> https://urlin.us/2tscMB
DJI makes special \"government edition\" versions of two of its drones specifically for the Interior Department: the Matrice 600 Pro and Mavic Pro. Both models are listed as being in the U.S. agency's drone fleet.
The United States Department of the Interior (DOI) this week has halted the operation of unmanned aircraft systems (UAS) over cybersecurity concerns most likely related to the use of Chinese drones.
As of 2021[update], the United States and China are the world's largest and second largest economies respectively, although China has a larger gross domestic product when measured by purchasing power parity. Historically, relations between the two countries have been stable with some periods of open conflict, most notably during the Korean War and the Vietnam War. Currently, the United States and China have mutual political, economic, and security interests, such as the non-proliferation of nuclear weapons, but there are unresolved concerns relating to China's relations with Taiwan and whether the US continues to acknowledge the One China policy, the role of democracy in government in China and human rights in China. China is the second largest foreign creditor of the United States, after Japan. The two countries remain in dispute over territorial issues in the South China Sea; China claims sovereignty over virtually the entire South China Sea, while the United States sees it as international waters and asserts the right for its warships and aircraft to conduct operations in the area.
Enhance cyber resilience. In critical government systems, hardware that monitors itself for hardware attacks and other redundancies should be considered. Though such hardware is likely to be more expensive, this premium would be a way for the U.S. to protect its most important systems. For agencies with less sensitive systems, the U.S. should consider expanding cloud computing to gain access to rapidly scalable and quickly available computer resources as a way to enhance resilience and continuity of operations at low cost.
Artificial intelligence and drone-based system to monitor on-road driving: Kumar et al.  discussed the importance of drones and Internet of Vehicles (IoV) for traffic monitoring. It has been observed that traffic cameras are among the drawbacks of incomplete data collection, restricted medical assistance, and inability to follow vehicles after an accident. Artificial intelligence-integrated object detection and the drone-based system collects and transmits data about commuters, traffic patterns, and vehicle activity to various agencies for traffic planning. The authors have proposed software-defined networking (SDN) controlled drone networks to reduce control overhead and effectively handle on-road vehicle observation scenarios. Kim et al.  have investigated system settings, components, operations, and actual circumstances for significant application types, including autonomous vehicles, intelligent UAVs, and drones. This study has also provided instances and scenarios where autonomous vehicles can be used in public and private places with different viewpoints and circumstances. The primary research problems and security concerns about future AI-based attacks have been thoroughly discussed.
IoT-enabled drone-based application has widely perpetuated into the parcel delivery system. The integrated truck delivery approach and support from the drone systems have overcome the limitation in both delivery systems. The drones have computational resource limitations such as battery power and low payload. At the same time, the truck delivery system has the demerits of long hauling duration and lack of interior area coverage for parcel delivery. Wang et al.  discussed the combination of drone and truck-based parcel delivery systems. The authors proposed a framework for a simultaneous truck drone parcel delivery system. Three independent parcel delivery systems, namely, truck parcel delivery system, hybrid truck drone, and standalone drone parcel delivery system, have been explored in detail. The authors proposed scheduling and routing algorithms for the hybridized truck drone parcel delivery system. Sa et al.  presented an efficient framework for hybridized truck drone-based LMD. The collaborative routing strategy for truck routing along with a fleet of drones was discussed. 1e1e36bf2d