The Unmanned Aerial Vehicle (UAV) (sometimes known as a ""drone"") is used in a variety of fields. Unfortunately, as they become more popular and in demand, they become more vulnerable to a variety of security threats. To combat such attacks and security threats, a proper design of a robust security and authentication system based on and stream cipher lightweight salsa20 algorithm with chaotic maps is required. By using a proposed key generation method which is based on a 1d Logistic chaotic map to produce a flight session key for a drone with a flight plan, and then records the flight session key and the drone’s flight plan in a central database that can be accessed. Finally, while the drone is flying, a GCS checks authentication of the current flight session based on the on flight session key and its flight plan as the message authentication code key to authenticate the drone by any flight session, and the drone after which uses salsa20 lightweight to cipher payload data to improve security Network Transfer of RTCM Messages over Internet Protocol Protocol (NTRIP) communication protocol and send it to GCS, and at last, a GCS verifies authentication of the current flight session based on the on flight session key and its flight plan as the message authentication code key to authenticate the drone. The proposed system is superior to other similar systems in terms of security and performance, according to the review.
Diabetes has become a widespread and long lasting condition that continues to impact an increasing number of individuals across the globe. It is crucial to highlight the significance of accurately identifying, predicting, managing and treating diabetes in order to address this growing concern. Utilizing sophisticated data analysis techniques to examine data relating to diabetes can significantly enhance the early detection and prediction of this ailment, along with its associated complications like low or high blood sugar levels. The findings clearly demonstrate that the decision tree algorithm proves to be the most effective approach in promptly diagnosing diabetes patients and ensuring they receive timely access to suitable treatment options.
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