Privacy Enhancement Scheme (PES) in a Blockchain-Edge Computing Environment

Bonnah, Ernest; Ju, Shiguang

doi:10.1109/access.2020.2968621

Cited by 20 publications

(18 citation statements)

References 23 publications

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“…Many researchers [13] have used blockchain as a scalable and secure data exchange, especially with 5G and edge computing. Combining blockchain with edge computing offers low latency and context-aware processing, which is suitable for medical applications [13,19,20,21].…”

Section: Introductionmentioning

confidence: 99%

“…Edge computing is the utilization of computational and network resources in mobile and edge devices for offloading processing from centralized or cloud servers on a larger scale [19,20,21,22]. Edge devices are more context-aware, which improves the accuracy of data collection on edge devices.…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, offloading computing to edge computing enables applications to reduce the overall required resources and enables real-time applications [22,23,24]. The integration of edge computing and blockchain provides verifiable data storage that is scalable on different architectures [19,20,21]. In addition, edge computing technologies are utilized to secure privacy in medical applications [21].…”

Section: Introductionmentioning

confidence: 99%

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Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

et al. 2021

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Pandemic and infectious disease outbreaks put pressure on health authorities and require lockdowns. These outbreaks, which strain limited healthcare resources, must be swiftly controlled and monitored. A large number of healthcare authorities are currently investigating automated systems to support outbreak monitoring and control. However, current contact tracing systems face many privacy, participation, and power constraints. Furthermore, elderly or less financially able individuals often cannot participate in automated contact tracing due to not owning a smartphone. This paper proposes a new system that enables health authorities to track exposure among individuals participating in the automated system, aid health authorities in interviewing non-participating individuals, and minimize the processing required by offloading to nearby edge computing devices. The proposed system utilizes edge servers to assist health authorities in tracking users who withdraw from or are unable to use contact tracing. Edge computing devices have access to more contextual information, resulting in minimal data collection and thus enabling businesses, houses, and offices to participate in contact tracing as locations. Edge computing devices enable location-based data collection of contact tracing data using proximity-based sensors for offices, homes, and shops, thereby assisting health authorities to notify users of exposure without disclosing the identities of businesses or individuals. Moreover, the proposed system reduces the overall power for end users up to 97% by delegating contact tracing to nearby edge computing devices. In addition, the system mitigates data poisoning attacks that target individuals' smartphones, edge devices, or cloud servers by utilizing blockchain to store contacts, delegations, and identities.INDEX TERMS Edge computing, infectious diseases, COVID-19, blockchain, pandemic contact tracing

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

et al. 2021

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“…Additionally, blockchain provides a high level of management for IoT systems by using privileged digital identities and access management [11]. Many researchers illustrate the importance of connecting the IoT systems to a blockchain-based technology to increase the security level and the IoT performance [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

CustodyBlock: A Distributed Chain of Custody Evidence Framework

Alruwaili

2021

Information

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With the increasing number of cybercrimes, the digital forensics team has no choice but to implement more robust and resilient evidence-handling mechanisms. The capturing of digital evidence, which is a tangible and probative piece of information that can be presented in court and used in trial, is very challenging due to its volatility and improper handling procedures. When computer systems get compromised, digital forensics comes into play to analyze, discover, extract, and preserve all relevant evidence. Therefore, it is imperative to maintain efficient evidence management to guarantee the credibility and admissibility of digital evidence in a court of law. A critical component of this process is to utilize an adequate chain of custody (CoC) approach to preserve the evidence in its original state from compromise and/or contamination. In this paper, a practical and secure CustodyBlock (CB) model using private blockchain protocol and smart contracts to support the control, transfer, analysis, and preservation monitoring is proposed. The smart contracts in CB are utilized to enhance the model automation process for better and more secure evidence preservation and handling. A further research direction in terms of implementing blockchain-based evidence management ecosystems, and the implications on other different areas, are discussed.

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“…Due to the emergence of Bitcoin [21] in 2009, Ethereum [22] in 2013, and Hyperledger Fabric [23] in 2016, blockchain technologies [21,22], providing a trusted mechanism without a CA and TTP, have received significant attention and interest in academia and the IT industry. e fundamental technology of blockchains, such as Bitcoin and Ethereum, has gained increasingly more attention and has begun to be applied to various fields, such as medical data access [24][25][26], the Internet of ings [27,28], and privacy preservation [29][30][31]. However, the high cost of certificate-based public key authentication is still problematic.…”

Section: Introductionmentioning

confidence: 99%

Blockchain as a CA: A Provably Secure Signcryption Scheme Leveraging Blockchains

Chen

Zhu

Jeng

et al. 2021

Security and Communication Networks

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Although encryption and signatures have been two fundamental technologies for cryptosystems, they still receive considerable attention in academia due to the focus on reducing computational costs and communication overhead. In the past decade, applying certificateless signcryption schemes to solve the higher cost of maintaining the certificate chain issued by a certificate authority (CA) has been studied. With the recent increase in the interest in blockchains, signcryption is being revisited as a new possibility. The concepts of a blockchain as a CA and a transaction as a certificate proposed in this paper aim to use a blockchain without CAs or a trusted third party (TTP). The proposed provably secure signcryption scheme implements a designated recipient beforehand such that a sender can cryptographically facilitate the interoperation on the blockchain information with the designated recipient. Thus, the proposed scheme benefits from the following advantages: (1) it removes the high maintenance cost from involving CAs or a TTP, (2) it seamlessly integrates with blockchains, and (3) it provides confidential transactions. This paper also presents the theoretical security analysis and assesses the performance via the simulation results. Upon evaluating the operational cost in real currency based on Ethereum, the experimental results demonstrate that the proposed scheme only requires a small cost as a fee.

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Privacy Enhancement Scheme (PES) in a Blockchain-Edge Computing Environment

Cited by 20 publications

References 23 publications

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

CustodyBlock: A Distributed Chain of Custody Evidence Framework

Blockchain as a CA: A Provably Secure Signcryption Scheme Leveraging Blockchains

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