Secure and anonymous decentralized Bitcoin mixing

Ziegeldorf, Jan Henrik; Matzutt, Roman; Henze, Martin; Grossmann, Fred; Wehrle, Klaus

doi:10.1016/j.future.2016.05.018

Cited by 95 publications

(63 citation statements)

References 13 publications

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“…• Sybil attack: Under this attack, an adversary creates many fake identities. By performing many interactions in the network, the adversary can gain a large influence within Replay attack [39], [10] Impersonation attack [13], [39], [10] Sybil attack [40] False data injection attack [21] Tampering attack [41] Overlay attack [41] Modification attack [39], [10] Man-in-the-middle attack [39], [10] Quantum attack [43] Hiding Blocks attack [40] Whitewashing [40] DDoS/DoS attack [36], [37], [38], [39] Refusal to Sign attack [40] Double-spending attack [41], [22] Collusion attack [42] the community, i.e, increasing/decreasing the reputation of some agents. TrustChain [40] addresses this issue by creating an immutable chain of temporally ordered interactions for each agent.…”

Section: A Identity-based Attacksmentioning

confidence: 99%

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

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

535

241

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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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Section: A Identity-based Attacksmentioning

confidence: 99%

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

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

535

241

View full text Add to dashboard Cite

show abstract

“…The block data are searched in the database using the index method. Although the block does not contain the hash value of the next block, it is added as a practice (Figure 1) [12].…”

Section: Blockchainmentioning

confidence: 99%

Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions

2017

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Blockchain has drawn attention as the next-generation financial technology due to its security that suits the informatization era. In particular, it provides security through the authentication of peers that share virtual cash, encryption, and the generation of hash value. According to the global financial industry, the market for security-based blockchain technology is expected to grow to about USD 20 billion by 2020. In addition, blockchain can be applied beyond the Internet of Things (IoT) environment; its applications are expected to expand. Cloud computing has been dramatically adopted in all IT environments for its efficiency and availability. In this paper, we discuss the concept of blockchain technology and its hot research trends. In addition, we will study how to adapt blockchain security to cloud computing and its secure solutions in detail.

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“…Some mixers enable internal linkability by involved parties [86] or linkability by the mixers [21], which are also potential threats. Unlinkability for all parties can be achieved by multi-party computation [151], blinding signatures [137], or layered encryption [118]. Ring signatures [113] provide unlinkability to users in a signing group [98], [138], enabling only verification of correctness of a signature, without revealing an identity of a signer.…”

Section: A Transaction Protectionmentioning

confidence: 99%

A Security Reference Architecture for Blockchains

Homoliak

Venugopalan

Hum

et al. 2019

2019 IEEE International Conference on Blockchain (Blockchain)

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Due to their interesting features, blockchains have become popular in recent years. They are full-stack systems where security is a critical factor for their success. The main focus of this work is to systematize knowledge about security and privacy issues of blockchains. To this end, we propose a security reference architecture based on models that demonstrate the stacked hierarchy of various threats (similar to the ISO/OSI hierarchy) as well as threat-risk assessment using ISO/IEC 15408. In contrast to the previous surveys [39], [8], [139], [20], we focus on the categorization of security incidents based on their origins and using the proposed architecture we present existing prevention and mitigation techniques. The scope of our work mainly covers aspects related to decentralized nature of blockchains, while we mention common operational security issues and countermeasures only tangentially.Index Terms-blockchain • distributed ledgers • reference architecture • threat-risk assessment arXiv:1904.06898v1 [cs.CR]

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Secure and anonymous decentralized Bitcoin mixing

Cited by 95 publications

References 13 publications

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

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

Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions

A Security Reference Architecture for Blockchains

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