to download project abstract of vehicular networks

Cruising for a vacant and economical parking spot causes not only time-consuming and frustrating driving experiences, but fuel waste and air pollution. Public parking spots in crowded cities are scarce and expensive. On the contrary, private parking spots usually have low utilization rates, and the spot suppliers are willing to provide their extra parking resources due to a maintenance cost by charging parking fees. Given this situation, it is imperative to call for a smart parking system that collects and provides private parking spots (e.g., around home or workplace) to ease public parking concerns. However, when the suppliers (drivers) are providing (querying for) parking spots, their privacy (e.g., location, identity) is inevitable to be disclosed and existing parking schemes cannot achieve anonymous authentication and anonymous payments simultaneously. To tackle these problems, we propose an anonymous smartparking and payment (ASAP) scheme in vehicular networks. Specifically, we use short randomizable signature to provide anonymity and conditional privacy. We achieve quick result matching with hash map and anonymous payment with E-cash. Security analysis and experimental results show that ASAP can protect privacy in a conditional way and has low computational costs and communication overhead.

An Anonymous Smart Parking and Payment Scheme in Vehicular Networks” revolutionizes traditional parking systems by seamlessly integrating advanced technologies within vehicular networks. This innovative scheme prioritizes anonymity and convenience, ensuring a hassle-free parking experience for users.

By leveraging the interconnected nature of vehicular networks, this system employs smart sensors and communication protocols to efficiently manage parking spaces. Drivers can access real-time information about available spots, reducing the time spent searching for parking. The scheme incorporates anonymous payment methods, safeguarding user privacy while enabling seamless transactions.

Key features include a robust authentication mechanism, encrypted communication channels, and secure payment protocols, ensuring the confidentiality and integrity of user data. Furthermore, the scheme enhances traffic flow by optimizing parking allocation and reducing congestion in high-demand areas.

With a focus on user anonymity, convenience, and network efficiency, this innovative parking and payment scheme in vehicular networks represents a significant leap towards a smarter, more connected urban environment, benefiting both drivers and city infrastructure.

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