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

Singh, Swathi; Satish, Divya; Lakshmi, Sree Rathna

doi:10.1002/dac.4911

Cited by 9 publications

(5 citation statements)

References 34 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Much existing research has proven that blockchain transactions can be linked to retrieve the user's information. For example, in smart healthcare systems [80], this type of attack can track patients' and hospitals' identities, as well as users' locations [81], [82].…”

Section: Motivation and Contributionmentioning

confidence: 99%

Navigating the Maze: Exploring Blockchain Privacy and Its Information Retrieval

Chhabra,

Saha,

Kumar

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Blockchain networks provide a reliable and secure mode of communication due to their decentralized and distributed nature. The emergence of amalgamated blockchain-based internet-of-things (IoT) systems has generated a huge amount of data to be online. Though blockchains show potential for ensuring transparency, traceability, and immutable records, the privacy of online data in blockchains becomes a question. The privacy of blockchain transactions is at stake as various privacy breaching methods are used by attackers such as linking the transactions, deanonymization, etc. However, the benefits of blockchain make the technology a dominator in the present and future technological paradigms. The other side of the coin deals with privacy information retrieval (PIR), which is necessary to retrieve private information from servers without much revealing. However, the conjunction of blockchain privacy and PIR is very critical and an important aspect of blockchain solutions. In this present survey, we pioneer in analyzing the privacy factors of existing blockchain solutions. We discuss the privacy parameters and important privacy enhancement techniques for blockchains comprehensively. We show the applicability of privacy in various domains including e-commerce, supply chain, healthcare, and IoT. We also discuss PIR-related issues and solutions in the existing literature. We highlight open research problems and discuss the benefits of collaborating with PIR and blockchain systems to improve privacy in blockchains. Our survey is beneficial for academia and industries to be aware of the present status of privacy solutions in blockchains and to address the identified loopholes to make the systems better.

show abstract

Section: Motivation and Contributionmentioning

confidence: 99%

Navigating the Maze: Exploring Blockchain Privacy and Its Information Retrieval

Chhabra,

Saha,

Kumar

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Anonymization (31 papers) [34]- [64] Obfuscation (15 papers) [64]- [78] Multi-tier ML (5 papers) [79]- [83] Decentralized ML (10 papers) [78], [84]- [92] Cryptography (154 papers) [48], [51], [59], [62], [63], [76], [83], [85], [86], [92]- [236] Dataflow (51 papers) [61], [82], [83], [89], [101], [165], [216], [221], [223], [237]- [278] Data summarization (6 papers) [279]- [284] Personal data stores (2 papers) [285], [286] ensure privacy (a) blockchain which is used for verifiability and accountability of data collection, storage and access in IoT environments [31]; and (b) privacybased programming languages, which require information flows and privileges to be declared beforehand, so all the data elements are attached to respective policies [32]. 7) Data summarization: it is a process of creating a concise, yet informative, version of data to preserve the privacy of the original data.…”

Section: Privacy-preservation Technique Primary Studiesmentioning

confidence: 99%

Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study

2023

View full text Add to dashboard Cite

The Internet of Things (IoT) is becoming a pervasive technology entangled in everyday life. The objective of IoT is to provide ubiquitous access to numerous devices and machines on service providers. However, IoT-based devices may expose a user to various privacy and security threats. Privacypreservation techniques focus on securing any type of data transfer between different parties. We aim to deliver the current state of the art in terms of privacy-preservation techniques used for IoT devices that have been discussed in the literature. Therefore, we carried out a systematic identification of the privacy-preservation techniques for IoT devices that have been described in the cybersecurity domain.To do so, we followed rigorous guidelines to define our research protocol to increase the repeatability and reliability of our results. A set of ten research questions was created to drive the analysis of our study. This research work comprehensively analyzes and discusses the privacy-preservation techniques for IoT devices published in five different academic venues . We identified 260 studies, mostly published between 2017 and 2021, that were systematically selected from an initial set of 1394 papers. The most active research areas in privacy-preservation techniques for IoT devices discuss cryptography techniques to improve the authentication process to access IoT devices. The majority of authors presented privacypreservation techniques for IoT that involved inventory privacy threats and discussed privacy interference attacks. We comprehensively analyze and discuss the trends, gaps, and possible future research directions of the privacy-preservation techniques used for IoT devices published in different academic venues.

show abstract

“…Here, the amount of information exchange was carried out to the packet size (in bytes) and the transaction per second. The proposed IACB-HCUPPIR is compared against the RSIMBPIR [24], ECCBPS [21], and PARK CHAIN [18] for the block nodes from 15 increases by 5 to 45. The number of bytes utilized for the proposed and other models is depicted in Fig.…”

Section: Comparative Analysis Of Communication Overheadmentioning

confidence: 99%

“…The results of IACB-HCUPPIR confirmed better results in terms of minimized computation and communication overload with maximized drivers' privacy preservation. As one of the limitations of performance measures of blockchain is the transaction throughput and confirmation latency which was measured for the proposed model against the RSIMBPIR [24], ECCBPS [21], and PARKCHAIN [18] and found that the proposed model obtains better parking slot allocation with less time. One of the limitations of homomorphic encryption requires modification in the client-server application to make it functional, which may increase the cost for practical implementation.…”

Section: Throughput =mentioning

confidence: 99%

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

Haritha¹,

Anitha²

2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

In crowded cities, searching for the availability of parking lots is a herculean task as it results in the wastage of drivers' time, increases air pollution, and traffic congestion. Smart parking systems facilitate the drivers to determine the information about the parking lot in real time and book them depending on the requirement. But the existing smart parking systems necessitate the drivers to reveal their sensitive information that includes their mobile number, personal identity, and desired destination. This disclosure of sensitive information makes the existing centralized smart parking systems more vulnerable to service providers' security breaches, single points of failure, and bottlenecks. In this paper, an Improved Asymmetric Consortium Blockchain and Homomorphically Computing Univariate Polynomial-based private information retrieval (IACB-HCUPPIR) scheme is proposed to ensure parking lots' availability with transparency security in a privacy-preserving smart parking system. In specific, an improved Asymmetric Consortium Blockchain is used for achieving secure transactions between different parties interacting in the smart parking environment. It further adopted the method of Homomorphically Computing Univariate Polynomial-based private information retrieval (HCUPPIR) scheme for preserving the location privacy of drivers. The results of IACB-HCUPPIR confirmed better results in terms of minimized computation and communication overload with throughput, latency, and response time with maximized drivers' privacy preservation. Moreover, the proposed fully homomorphic algorithm (FHE) was compared against partial-homomorphic encryption (PHE) and technique without encryption and found that the proposed model has quick communication in allocating the parking slots starting with 24.3 s, whereas PHE starts allocating from 24.7 s and the technique without encryption starts at 27.4 s. Thus, we ensure the proposed model performs well in allocating parking slots with less time and high security with privacy preservation.

show abstract

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

Cited by 9 publications

References 34 publications

Navigating the Maze: Exploring Blockchain Privacy and Its Information Retrieval

Navigating the Maze: Exploring Blockchain Privacy and Its Information Retrieval

Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

Contact Info

Product

Resources

About