Blockchain Papers

Solomon Negash

No abstract is available for this record.

Akshat Jain, Sidharth Bhatnagar, Amrita Jyoti

No abstract is available for this record.

Chuanhang Cheng, Biwei Yan, Guijuan Wang

The Internet of Things (IoT) is an information carrier based on the Internet and traditional telecommunications networks. Access control is an important part of the service architecture, which can effectively solve the security issues in IoT. Therefore, many solutions adopt the access control to solve some security problems. However, these existing solutions cannot easily deploy access control in the IoT. As a decentralized, non-tamperable, and highly credible distributed ledger technology, blockchain is in line with the current trend of network development. To improve the transparency, non-tampering of the access control process and traceability and auditability of access flow changes, we propose a blockchain-based access control scheme for the IoT, which uses a combination of on-chain and off-chain to reduce the storage pressure of the blockchain. On the one hand, we deploy policy decision points (PDP) and other components on the smart contract in the form of chain code to better judge and execute decision-making. On the other hand, we put policy administration points (PAP) in the off-chain organization to reduce the storage pressure of the blockchain and make better access flow transformation and traceability. Ultimately, we concluded through feasibility analysis that our solution can maintain high throughput in a large-scale transaction volume environment.

Valeh Farzaliyev, Jan Willemson, Jaan Kristjan Kaasik

Abstract Mix‐networks were first proposed by Chaum in the late 1970s–early 1980s as a general tool for building anonymous communication systems. Classical mix‐net implementations rely on standard public key primitives (e.g., ElGamal encryption) that will become vulnerable when a sufficiently powerful quantum computer will be built. Thus, there is a need to develop quantum‐resistant mix‐nets. This article focuses on the application case of electronic voting where the number of votes to be mixed may reach hundreds of thousands or even millions. We propose an improved architecture for lattice‐based post‐quantum mix‐nets featuring more efficient zero‐knowledge proofs while maintaining established security assumptions. Our current implementation scales up to 100,000 votes, still leaving a lot of room for future optimisation.

Guanxiong Ha, Chunfu Jia, Xiaowei Ge, Jiawei Yuan · 6 authors

No abstract is available for this record.

Rohaila Naaz, Ashendra Kumar Saxena

No abstract is available for this record.

T.L. Kayathri, N. Kumaresan, R. Vijayabhasker

The Border Gateway Protocol (BGP) helps to exchange the information over the internet. However, BGP is susceptible to malicious attacks and misconfigurations meanwhile BGP does not focus on providing security during routing information advertisement. The secure BGP environment provides constant routing services on the internet, but existing works does not provide an optimal solution for BGP router security. To overcome these issues, we proposed decentralized low complexity framework for providing security to BGP attacks using deep learning and blockchain technologies. The proposed SDBGPChain (SDN based BGP using dendrimer tree blockchain) model whereas the SDN provides network management, flexibility and scalability for BGP environment, the proposed work includes three processes such as entity authentication, low complexity BGP attack detection and prevention, and deep learning-based route update validation. Initially, users and BGP routers are authenticated using Enhanced Blowfish and Elliptical Curve Cryptography (EB-ECC) which generated the unique key using EB algorithm and the unique is encrypted by enhanced ECC for improving security. Every Autonomous System (AS) is constructed as a graph structure using Directed Acyclic Graph (DAG) which improves the scalability and interoperability of the network. Secondly, we perform BGP attack detection using Dual Agent based Twin Actor Twin Delayed Deep Deterministic Policy Gradient (DA-T2TD3) algorithm by performing both proactive and reactive methods. Finally, we perform route update validation by Gated Recurrent Unit (GRU) by considering update message tuples which validate the updates by identifying misconfigurations and errors in the updated messages. Here, updated messages are passed to the blockchain for validation using the DiemBFT consensus algorithm which improves high security. The simulation of the proposed SDBGPChain model is conducted by OMNET++ simulation tool, and the performance of this work is evaluated based on various performance metrics which proved that the proposed work achieved superior performance compared to state-of-the-art works.

R. Priscilla, G. Jaspher W. Kathrine, M. Rubavathi, T. Sruthi Krithika

No abstract is available for this record.

Jiale Yang, Guozi Sun, Rongyu Xiao, Hansen He

As the most successful cryptocurrency, bitcoin has become the primary target of attackers. The security risks existing in bitcoin network (P2P networks) may pose serious threats to itself. It has been proved that network attackers of the autonomous system level could isolate a specific set of bitcoin nodes using prefix hijacking attacks; since this attack achieves bitcoin partition by deleting all data packets of the victim node, it is easy to be discovered by the victim node, and cannot maintain a long‐term connection (the partition will disappear after canceling the BGP hijacking) (Apostolaki M et al. (2017)). This paper proposes a new attack scheme—eclipse attack method based on BGP hijacking (BHE). The attack can occupy the network connection of the victim node, and only need to delete part of the TCP handshaking packets of the victim node during the attack, and it makes the attack more hidden and can occupy the network connection of the victim node for a long time. The innovation of the BHE attack is that it can control the peering decision of the victim node by controlling the victim node’s internal peer database (new table and tried table) and preventing the victim node from establishing a good connection. It enables the attacker to occupy all network connections of the victim node and become its natural network middleman. We verify the feasibility of the BHE attack through experimental evaluation and demonstrate that an attacker who can launch BGP hijacking may occupy all connections of the victim node within 20 minutes (ignoring the time of traffic diversion). To reduce the attack’s impact, the paper provides some countermeasures that can use in practice according to the basic characteristics of the attack.

Seung-Jin Baek, Hocheol Nam, Yongwoo Oh, Muoi Tran · 5 authors

No abstract is available for this record.

Matthias Grundmann, Hedwig Amberg, Max Baumstark, Hannes Hartenstein

No abstract is available for this record.

Surya Addanki, Kevin Garbe, Eli Jaffe, Rafail Ostrovsky · 5 authors

No abstract is available for this record.

Ke Ye, Meng Shen, Zhenbo Gao, Liehuang Zhu

No abstract is available for this record.

Ulrich Gallersdörfer, Jonas Ebel, Florian Matthes

No abstract is available for this record.

Zhuo Chen, Liehuang Zhu, Peng Jiang, Can Zhang · 8 authors

Covert communication enables covert information transmission in an undetectable way to prevent the exposure of communication behaviors. Blockchain-based covert communication breaks through the limitations on concealment, reliability and anti-traceability, and has shown promising application prospects in both sensitive data transmission and botnets. Although there are studies on blockchain-based covert communication, it still lacks a systematic investigation. In this paper, we conduct a comprehensive study on channel building and survey its core technologies by information embedding, transaction filtering, and transaction obfuscation. We also summarize evaluation metrics to better analyze blockchain-based covert channels. Privacy aspects are also discussed. Finally, we suggest seven future directions to stir research efforts into this area.

Minjae Kim, Jinhee Lee, Hyunsoo Kwon, Junbeom Hur

Bitcoin is the most widely used cryptocurrency for illegal trade in current darknet markets. Owing to the anonymity of its addresses, even though transaction flows are globally visible, Bitcoin clustering remains one of the most challenging and open problems in illegal Bitcoin transaction analysis. In this article, to resolve this problem, we propose a novelmulti-layer heuristicalgorithm for Bitcoin clustering, which leverages on-chain transactions as well as off-chain application data in the real world. For this purpose, we first explored the unique characteristics of darknet market ecosystems including their trading systems. By conducting an in-depth analysis of the data manually collected for 11 months, we found that some darknet market review data disclosed transactions containing Bitcoin value and item delivery information. We then identified unique Bitcoin addresses associated with the disclosed information, owned by the same darknet providers. Based on address ownership, more accurate market clusters could be created, which have not previously been identified by other clustering algorithms. According to our experimental results, approximately 31.68% of the darknet market review data matched real Bitcoin transactions, and 122 hidden clusters associated with Silk Road 4 were found. This indicates that the proposed algorithm can complement existing clustering methods and significantly reduce the false negative rate by up to 91.7%.

Turgut Karabulut, Sali̇m Sercan SARI

Purpose: Bitcoin, the most prominent among cryptocurrencies, is a peer-to-peer (“P2P”) electronic currency and payment system used based on mutual trust. The study aims to measure awareness of Bitcoin, which has recently become popular among investors with its rapidly increasing use. To this end, a questionnaire was applied to the participants to evaluate their opinions and preferences regarding Bitcoin. With this purpose in mind, a questionnaire was applied to the academics of Erzincan Binali Yıldırım University in Turkey. Methodology: In the process of analysing the obtained data, frequency analysis and the chi-square test method were used by using the SPSS 26.0 software package. Results: According to the results of the study, it was observed that 51.6% of the academics (159 persons) had knowledge of Bitcoin, and while 31.5% of the academics participating in the study (97 persons) considered they would buy Bitcoin within five years, 57% (176 persons) conceived the use of Bitcoin would increase within ten years. Despite all these positive attitudes, it was also observed that 45.5% (140 people) considered Bitcoin as unreliable and 51.6% (159 persons) would prefer gold instead of using Bitcoin. As for the opinion of academics, it was concluded that gold and other different investment tools would be preferred instead of Bitcoin despite its increasing use. Conclusion: This research is important as it is the first research study in the field, which means that no similar study has been conducted in Turkey before, and it is thus expected to greatly contribute to the literature within the context of the importance and originality of the study.

Brian Chen, Yevgeniy Dodis, Esha Ghosh, Eli Goldin · 7 authors

No abstract is available for this record.

Richard Plný, Karel Hynek, Tomáš Čejka

No abstract is available for this record.

Muhammad Shoaib Farooq, Usman Iftikhar, Adel Khelifi

A widespread mistrust towards the traditional voting system has made democratic voting in any country very critical. People have seen their fundamental rights being violated. Other digital voting systems have been challenged due to a lack of transparency. Most voting systems are not transparent enough; this makes it very difficult for the government to gain voters’ trust. The reason behind the failure of the traditional and current digital voting system is that it can be easily exploited. The primary objective is to resolve problems of the traditional and digital voting system, which include any kind of mishap or injustice during the process of voting. Blockchain technology can be used in the voting system to have a fair election and reduce injustice. The physical voting systems have many flaws in it as well as the digital voting systems are not perfect enough to be implemented on large scale. This appraises the need for a solution to secure the democratic rights of the people. This article presents a platform based on modern technology blockchain that provides maximum transparency and reliability of the system to build a trustful relationship between voters and election authorities. The proposed platform provides a framework that can be implemented to conduct voting activity digitally through blockchain without involving any physical polling stations. Our proposed framework supports a scalable blockchain, by using flexible consensus algorithms. The Chain Security Algorithm applied in the voting system makes the voting transaction more secure. Smart contracts provide a secure connection between the user and the network while executing a transaction in the chain. The security of the blockchain based voting system has also been discussed. Additionally, encryption of transactions using cryptographic hash and prevention of attack 51% on the blockchain has also been elaborated. Furthermore, the methodology for carrying out blockchain transactions during the process of voting has been elaborated using Blockchain Finally, the performance evaluation of the proposed system shows that the system can be implemented in a large-scale population.

Ali Benabdallah, Antoine Audras, Louis Coudert, Nour El Madhoun · 5 authors

Today, the abstention rate continues to rise, largely due to the need to travel to vote. This is why remote e-voting will increase the turnout by allowing everyone to vote without the need to travel. It will also minimize the risks and obtain results in a faster way compablack to a traditional vote with paper ballots. In fact, given the high stakes of an election, a remote e-voting solution must meet the highest standards of security, reliability, and transparency to gain the trust of citizens. In literature, several remote e-voting solutions based on blockchain technology have been proposed. Indeed, the blockchain technology is proposed today as a new technical infrastructure for several types of IT applications because it allows to remove the TTP and decentralize transactions while offering a transparent and fully protected data storage. In addition, it allows to implement in its environment the smart-contracts technology which is used to automate and execute agreements between users. In this paper, we are interested in reviewing the most revealing e-voting solutions based on blockchain technology.

Federico Franzoni, Vanesa Daza

Over the last decade, Bitcoin has revolutionized the global economic and technological landscape, inspiring a new generation of blockchain-based technologies. Its protocol is today among the most influential for cryptocurrencies and distributed networks. In particular, the P2P layer represents a reference point for all permissionless blockchains, which often implement its solutions in their network layer. Unfortunately, the Bitcoin network protocol lacks a strong security model, leaving it exposed to several threats. Attacks at this level can affect the reliability and trustworthiness of the consensus layer, mining the credibility of the whole system. It is therefore of utmost importance to properly understand and address the security of the Bitcoin P2P protocol. In this paper, we give a comprehensive and detailed overview of known network-level attacks in Bitcoin, as well as the countermeasures that have been implemented in the protocol. We propose a generic network adversary model, and propose an objective-based taxonomy of the attacks. Finally, we identify the core weaknesses of the protocol and study the relationship between different types of attack. We believe our contribution can help both new and experienced researchers have a broader and deeper understanding of the Bitcoin P2P network and its threats, and allow for a better modeling of its security properties.

Zhanwen Chen, Kazumasa Omote

With the rapid development of Non-Fungible Token (NFT) market, various types of digital artwork are published via NFT in recent years for sale. In the current NFT system, owner’s address of each NFT is stored in plaintext. This leads to a severe privacy problem: once a person’s blockchain address is known, all his NFT assets are viewable, which may further cause problems related to the privacy of holding sensitive NFT or premeditated scams to high-value NFT owners. However, due to the limitation of Ethereum and smart contract, it is hard to prevent others from tracking the owner of NFT. Meanwhile, current state-of-the-art NFT research usually assumes the relation between blockchain address and owner’s identity is unknown, thus creating theso-called anonymity. In this paper, based on the most popular NFT marketplace OpenSea’s system, we propose a new exchange scheme to hides the address of NFT owner during trading. To achieve our goal, a proof of commitment scheme is exploited to bind the owner to an NFT while hiding the identity. Moreover, An anonymous payment method is designed to prevent attackers from tracing the Ether flow in NFT trading. Our scheme is proven to be secure against curious users and malicious active attackers. Implementation on testnet also shows that the increased gas cost is acceptable, meaning it is suitable for application.

Md. Tarequl Islam, Md. Sabbir Hasan, Abu Sayed Sikder, Md. Selim Hossain · 5 authors

No abstract is available for this record.