Towards Secure Smart Parking System Using Blockchain Technology

Amiri, Wesam Al; Baza, Mohamed; Banawan, Karim; Mahmoud, Mohamed; Alasmary, Waleed; Akkaya, Kemal

doi:10.1109/ccnc46108.2020.9045674

Cited by 41 publications

(14 citation statements)

References 5 publications

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“…Although cloud-based services provide the required resources, data communication from IoT-EDs to cloud brings up different challenges: security problems, power consumption, time lag, and bandwidth limitation. To get over these limitations, previous studies have suggested moving data processing close to the edge of the network [16], [58], [59].…”

Section: B Resultsmentioning

confidence: 99%

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

2020

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Internet of Things (IoT) devices have connected millions of houses around the globe via the internet. In the recent past, threats due to hardware Trojan (HT) in the integrated circuits (IC) have become a serious concern, which affects IoT edge devices (IoT-ED). In this paper, the possibility of the IoT-ED with embedded HT that can cause serious security, privacy, and availability problems to the IoT based Home Area Network (HAN) has been discussed. Conventional network attack detection techniques work at the network protocol layers, whereas IoT-ED with HT can lead to the peculiar manifestation of attack at the physical and/or firmware level. On the other hand, in the IC design, most of the HT-based attack detection techniques require design time intervention, which is expensive for many of the IoT-ED and cannot guarantee 100% immunity. The argument in this paper is that the health of modern IoT-ED requires a final line of defense against possible HT-based attacks that goes undetected during IC design and test. The approach is to utilize power profiling (PP) and network traffic (NT) data without intervening into the IC design to detect malicious activity in HAN. The proposed technique is to effectively identify multiple attacks concurrently and to differentiate between different types of attacks. The IoT-ED behaviors for five different types of random attacks have been studied, including covert channel, DoS, ARQ, power depletion, and impersonation attacks. Data fusion has been leveraged by combining the PP and NT data and is able to detect, without design time intervention, each of the five attacks individually with up to 99% accuracy. Moreover, the proposed technique can also detect all the attacks concurrently with 92% accuracy. To the best of authors' knowledge, this is the first work where multiple HT based attacks are concurrently detected in IoT-ED without requiring any design time intervention. INDEX TERMS Internet of Things, hardware security, home area network, hardware Trojan, machine learning, power profile, ARQ attack, DoS attack.

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Section: B Resultsmentioning

confidence: 99%

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

2020

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“…They also verified the security of their proposed scheme using ProVerif and AVISPA. Later on, some new blockchain based authentication schemes have been proposed [26], [27], [28], [29], [30]. Besides, the protocols of [31], [32], [33], [34], [35], [36], [37], [38], [39], [40] have more computational overhead.…”

Section: Related Workmentioning

confidence: 99%

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

et al. 2021

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“…However, the overheads of communication and computation were considered to be comparatively better than 16 the conventional parking approaches. A consortium blockchain‐based smart parking scheme (CB‐SMS) was proposed for achieving maximized availability, transparency, and security by storing parking slots inside the blockchain nodes 17 . It was proposed with the techniques of cloaking for hiding the locations of the drivers in order to protect their location privacy.…”

Section: Related Workmentioning

confidence: 99%

Ring signature and improved multi‐transaction mode consortium blockchain‐based private information retrieval for privacy‐preserving smart parking system

Singh

Satish

Lakshmi³

2021

Int J Communication

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Summary In big cities, the drivers face a major problem in identifying an optimal vacant parking space for their vehicles as the number of vehicles has rapidly grown over the recent years. This objective of determining the available parking space results in wastage of time, air pollution, and traffic congestion. Smart parking systems facilitate the driver to book parking slots and attain real‐time parking information. However, the existing smart parking solutions necessitate the disclosure of sensitive information like desired destination from the vehicle drivers. Moreover, the current smart parking solutions are highly centralized, making them vulnerable for launching privacy breaches by service providers and resulting in the issues of single‐point failure. In this paper, ring signature and improved multi‐transaction mode consortium blockchain‐based private information retrieval (RS‐IMTMCB‐PIR) scheme is proposed for privacy preserving in smart parking system. This RS‐IMTMCB‐PIR scheme initially utilizes an improved multi‐transaction mode consortium blockchain constructed by different number of parking lot owners in order to achieve maximized parking offers based on the factor of availability, transparency, and security. It incorporates an improved private information retrieval approach for protecting the location privacy of drivers and secretly retrieving the offers of parking from the improved multi‐transaction mode consortium blockchain. It further utilizes the benefits of ring signature for permitting the drivers in a potential anonymous authentication process that aids in available parking slot reservation. The simulation results of this proposed RS‐IMTMCB‐PIR scheme portrayed a predominant performance in ensuring maximized degree of drivers' privacy with reduced computation and communication overheads.

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Towards Secure Smart Parking System Using Blockchain Technology

Cited by 41 publications

References 5 publications

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

Ring signature and improved multi‐transaction mode consortium blockchain‐based private information retrieval for privacy‐preserving smart parking system

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