A Survey on Anonymity and Privacy in Bitcoin-Like Digital Cash Systems

Khalilov, Merve Can Kuş; Lévi, Albert

doi:10.1109/comst.2018.2818623

Cited by 213 publications

(130 citation statements)

References 96 publications

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“…Levi [31] An overview and detailed investigation of anonymity and privacy in Bitcoin-like digital cash systems.…”

Section: Khalilov Andmentioning

confidence: 99%

“…III. Khalilov and Levi [72] have published an interesting investigation on anonymity and privacy in Bitcoin-like digital cash systems. Specifically, the study classified the methods of analyzing anonymity and privacy in Bitcoin into four categories, namely, 1) Transacting, 2) Utilizing off-network information, 3) Utilizing network, and 4) Analyzing blockchain data.…”

Section: O Bitcoinmentioning

confidence: 99%

See 1 more Smart Citation

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

566

253

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This paper presents a comprehensive survey of the existing blockchain protocols for the Internet of Things (IoT) networks. We start by describing the blockchains and summarizing the existing surveys that deal with blockchain technologies. Then, we provide an overview of the application domains of blockchain technologies in IoT, e.g, Internet of Vehicles, Internet of Energy, Internet of Cloud, Fog computing, etc. Moreover, we provide a classification of threat models, which are considered by blockchain protocols in IoT networks, into five main categories, namely, identity-based attacks, manipulationbased attacks, cryptanalytic attacks, reputation-based attacks, and service-based attacks. In addition, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods towards secure and privacy-preserving blockchain technologies with respect to the blockchain model, specific security goals, performance, limitations, computation complexity, and communication overhead. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the blockchain technologies for IoT.

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“…Levi [31] An overview and detailed investigation of anonymity and privacy in Bitcoin-like digital cash systems.…”

Section: Khalilov Andmentioning

confidence: 99%

Section: O Bitcoinmentioning

confidence: 99%

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

566

253

View full text Add to dashboard Cite

show abstract

“…Note that, several recent surveys and tutorials, which target at the privacy issues in diverse scenarios, also mention the usage of BFs explicitly [58] [59] [60] [61] [62]. In informationcentric networking, BFs enable the DoS-resistant self-routing mechanisms, name obfuscation, and access control [58].…”

Section: Privacy Preservationmentioning

confidence: 99%

Optimizing Bloom Filter: Challenges, Solutions, and Comparisons

Luo

Guo

Richard

et al. 2019

IEEE Commun. Surv. Tutorials

173

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Bloom filter (BF) has been widely used to support membership query, i.e., to judge whether a given element x is a member of a given set S or not. Recent years have seen a flourish design explosion of BF due to its characteristic of space-efficiency and the functionality of constant-time membership query. The existing reviews or surveys mainly focus on the applications of BF, but fall short in covering the current trends, thereby lacking intrinsic understanding of their design philosophy. To this end, this survey provides an overview of BF and its variants, with an emphasis on the optimization techniques. Basically, we survey the existing variants from two dimensions, i.e., performance and generalization. To improve the performance, dozens of variants devote themselves to reducing the false positives and implementation costs. Besides, tens of variants generalize the BF framework in more scenarios by diversifying the input sets and enriching the output functionalities. To summarize the existing efforts, we conduct an in-depth study of the existing literature on BF optimization, covering more than 60 variants. We unearth the design philosophy of these variants and elaborate how the employed optimization techniques improve BF. Furthermore, comprehensive analysis and qualitative comparison are conducted from the perspectives of BF components. Lastly, we highlight the future trends of designing BFs. This is, to the best of our knowledge, the first survey that accomplishes such goals.

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“…However, cryptocurrencies based on blockchain technology are not completely anonymous, the public nature of blockchain exposes users' addresses and transaction privacy . As the number of transactions increases, attackers trace the source of funds and extract other privacy information from open transaction data by data analysis technique and transaction rules …”

Section: Introductionmentioning

confidence: 99%

“…3 As the number of transactions increases, attackers trace the source of funds and extract other privacy information from open transaction data by data analysis technique and transaction rules. 4,5 To enhance the ability of blockchain privacy protection, a mixing transaction privacy enhancement scheme is constructed. Inspired by the scheme of Chen et al, 6 we use group signature algorithm and aggregate signature algorithm to protect transaction privacy and user identity, and we also introduce a mix accountable protocol to track malicious users.…”

Section: Introductionmentioning

confidence: 99%

Research on privacy enhancement scheme of blockchain transactions

Tao

Chen

Liu

et al. 2019

Security and Privacy

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Blockchain is the supporting technology for cryptocurrencies, which can be used to record transaction information among users. However, the information on blockchain can be accessed and verified by any user. To some extent, it is effortless to acquire users' identities, transaction privacy information by means of transaction tracing technology and data analysis technology. In order to tackle the above problems, we proposed a transaction privacy enhancement scheme based on the computational Diffie‐Hellman problem with provable security. By leveraging a group signature scheme, the mixing peer can mix the transactions so that the transaction sender can be hidden into a mixing group. In addition, our solution improves the efficiency by utilizing a signature aggregation scheme and reducing the overhead of the signature verification. The security analysis shows that the proposed scheme is superior in privacy and the efficiency of signature verification.

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A Survey on Anonymity and Privacy in Bitcoin-Like Digital Cash Systems

Cited by 213 publications

References 96 publications

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Optimizing Bloom Filter: Challenges, Solutions, and Comparisons

Research on privacy enhancement scheme of blockchain transactions

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