Abstract
Smart parking systems are a crucial component of the “smart city” concept, especially in the age of the Internet of Things (IoT). They aim to take the stress out of finding a vacant parking spot in city centers, due to the increasing number of cars, especially during peak hours. To realize the concept of smart parking, IoT-enabling technologies must be utilized, as the traditional way of developing smart parking solutions entails a lack of scalability, compatibility with IoT-constrained devices, security, and privacy awareness. In this paper, we propose a secure and privacy-preserving framework for smart parking systems. The framework relies on the publish/subscribe communication model for exchanging a huge volume of data with a large number of clients. On one hand, it provides functional services, including parking vacancy detection, real-time information for drivers about parking availability, driver guidance, and parking reservation. On the other hand, it provides security approaches on both the network and application layers. In addition, it supports mutual authentication mechanisms between entities to ensure device/ data authenticity, and provide security protection for users. That makes our proposed framework resilient to various types of security attacks, such as replay, phishing, and man-in-the-middle attacks. Finally, we analyze the performance of our framework, which is suitable for IoT devices, in terms of computation and network overhead.
Highlights
Smart parking systems are a crucial component of the “smart city” concept, especially in the age of the Internet of Things (IoT)
This paper proposes a secure and privacy-preserving framework for smart parking systems called SecSPS, which consists of three main components: a sensor network that is responsible for monitoring vehicles going in and out of the parking facility; one or more smart gateways, based on the size of the car lot; and a broker, who takes responsibility for information dissemination in real time
In [26], authors show that the semi-honest model tends to be widely accepted by the scientific research community, as it offers a sufficient level of security within reasonable computational and communication costs
Summary
PGI systems are able to provide drivers with dynamic information on the location of vacant parking spaces in car lots within controlled environments, and direct them to available parking spots. Other researchers have used various technologies to ensure smoothness of traffic in and around parking spots, including the Global Positioning System for parking spot detection, based on self-localization, video cameras for collecting and collating information on vehicle parking spaces, radio frequency identification (RFID) technologies for entering and exiting parking spots, cloud-based, and text-messaging-based parking reservation services [11]-[21] To their credit, all of these proposed solutions have introduced sensible improvements in the field of parking management, but they still suffer from a lack of suitability and adaptability to IoT requirements to ensure their openness, reliability, and networking accessibility.
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