SecSPS: A Secure and Privacy-Preserving Framework for Smart Parking Systems

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.

Cross-Domain Self-Authentication Based Consortium Blockchain for Autonomous Valet Parking System

“… Zero-knowledge proofs of knowledge  Proxy signature Identity privacy [26] Secure and privacy-preserving framework (centralization).…”

“…Moreover, the work presented in [1] demonstrates a privacy-preserving smart parking navigation scheme for protecting privacy in parking spot queries and retrieving the encrypted navigation results from roadside units. Alqazzaz, et al [26] propose a secure and privacy-preserving framework for smart parking systems ensuring the security of real-time information by the Elliptic Curve Cryptography (ECC) and a secured communication channel. These schemes considered an AVP system in one parking lot and did not pay enough attention to the secure storage and Research Focus Techniques for Privacy and Security Privacy protection [1] and [28] The cloud-based privacy-preserving parking navigation system on the way to a vacant parking space in the destinations (centralization).…”

Parking recommender system privacy preservation through anonymization and differential privacy

“…Alqazzaz et al 16 proposed a privacy preserving and secure smart parking framework based on publish/subscribe mechanism. It provides 2‐fold functions.…”

Preserving Privacy Techniques for Autonomous Vehicles

“…Information on parking areas and parking lots will already b e stored in the system with other related information (for example, camera is monitoring the parking lot with their physical locations). Giuseppe Amato et al explained the detection of vacant parking lots by deep learning [17]. It is a branch of Artificial intelligence that seeks to develop methods that enable computers to learn complicated tasks of perception at the level of human precision, such as seeing and hearing.…”