HVVU: A Hash Value Verification joint UAVs scheme for trust data collection in smart cities

Abstract

With the rapid development of mobile sensing technology and Unmanned Aerial Vehicles (UAVs) technology, Mobile Crowd Sensing (MCS) system are playing an increasingly important role in smart cities. Billions of Sensor Devices(SDs) generate vast amounts of data, providing strong support for the efficient functioning of smart cities. However, collecting this data in a low-cost, secure, and efficient manner presents significant challenges. Malicious Mobile Data Collectors (MDCs) may transmit false data, which can affect the quality of services. Therefore, ensuring the high quality of data collection is crucial for the security and performance of smart city applications. A Hash Value Verification joint UAVs (HVVU) Scheme is proposed for trust assessment and selection between MDCs and Internet of Things devices. This scheme aims to select Collectors that are both low-cost and highly trustworthy, thereby enhancing data quality. (1) An active verifiable trust evaluation framework assisted by UAVs is proposed. The data collected by UAVs is used as a baseline and compared with the data submitted by MDCs to calculate and update their verification scores, effectively preventing collusion attacks. (2) A hash-based interactive trust evaluation scheme is proposed, where MDCs interact with others during data collection and calculate the hash value of the interaction packets. This process ensures the authenticity and reliability of the data while simultaneously updating interaction scores in real-time. (3) A ranking mechanism based on the overall contribution degree and a winning strategy selection method based on the ranking are proposed. These methods take into account the comprehensive scores, bids, and collection rates, incentivizing MDCs to maintain data quality while reducing costs. (4) A UAV path encryption and secondary optimization scheme is proposed. This scheme securely collects data from more SDs while controlling energy consumption. The experimental results indicate that, compared with the Collaboration Trust Interconnections System (CTIS), HVVU scheme increases the collection rate while controlling costs, with data accuracy nearly 100%. It achieves an approximate recognition rate of 98% for malicious MDCs, with a false recognition rate controlled at around 2%. This demonstrates the effectiveness and practicality of the scheme.