【Author】 Chen, Yu-Lun Yang, J. Jimmy
【影响因子】9.848
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】We investigate the effect of cryptocurrency hacking on trader positions in CME bitcoin futures. Our results indicate that the occurrence of hacking and fraudulent incidents lead to more net- short positions and fewer participation ratio for leveraged funds in bitcoin futures. Additionally, U.S. dollar index, futures basis, and price efficiency also play significant roles in the trading of leveraged funds. Lastly, we find that the number of hacking incidents negatively affects dealers' net-long positions. This study provides new insights into trader behaviors in bitcoin futures and offers practical implications for bitcoin investors and regulators.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin futures; Hacking incidents; Traders in financial futures (TFF); Hedge funds
【发表时间】2024
【收录时间】2024-10-14
【文献类型】 实证数据
【Author】 Sobolev, Daphne Kallinterakis, Vasileios
【影响因子】8.222
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】Despite regulators' warnings that investing in cryptoassets is highly risky, cryptocurrency investments are prevalent. To explore investors' engagement with regulatory risk advice, we conducted two surveys. Cryptocurrency investors residing in the UK and the US were asked about their interpretation of the notion of risk, awareness of regulatory risk advice, and attitudes towards the advice and the regulators. Investors were also asked whether they followed the advice. Qualitative content analysis of their answers suggests that people often invest in cryptocurrencies although they understand the risks involved and are aware of the regulators' advice. They do so due to their risk propensity, self-reliance, criticism of the informativeness of the advice, or attitudes towards regulators. Furthermore, negative attitudes towards regulators often stem from lack of trust and the perception that regulators are dated. This study suggests that regulators could benefit investors by providing them with more informative advice and addressing their attitudes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Risk assessment; Regulation; Investor behavior; Behavioral finance; Judgment and decision-making
【发表时间】2024
【收录时间】2024-10-14
【文献类型】 实证数据
【Author】 Naz, Mohammad Tazeem Elmedany, Wael Ali, Mazen
【影响因子】5.711
【主题类别】
区块链应用-实体经济-智慧城市
区块链应用-实体经济-电力领域
【Abstract】The rapid development of smart city infrastructures has brought increased attention to the security of critical systems such as Supervisory Control and Data Acquisition (SCADA) systems, which are central to smart grids. SCADA systems are highly susceptible to cyberattacks, particularly false data injection attacks that can lead to catastrophic failures. While blockchain technology has been explored as a means to secure SCADA systems, traditional blockchain models are vulnerable to the emerging threat of quantum computing, which can break classical cryptographic algorithms. This paper proposes a Self-Defensive Post-Quantum Blockchain Architecture (SD-PQBA) specifically designed to protect SCADA systems within smart cities from both classical and quantum cyber threats. The SD-PQBA framework introduces a novel Proof of Derived Authority (PoDA) consensus mechanism and a post-quantum 3-key cryptography scheme that ensures the immutability and integrity of data in the SCADA system. By addressing the limitations of existing blockchain solutions in the context of quantum computing, this architecture provides a robust, future-proof layer of defense, enhancing the resilience of SCADA systems against advanced cyber attacks. This approach not only strengthens SCADA security but also highlights critical gaps in the literature at the intersection of quantum computing, SCADA, and blockchain technology.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Post-quantum; Smart city; Cyber attack; SCADA; Consensus mechanism; Internet of Things (IoT)
【发表时间】2024
【收录时间】2024-10-14
【文献类型】 理论模型
【Author】 Hsieh, Ming Yuan
【影响因子】5.711
【主题类别】
区块链应用-实体经济-企业管理
【Abstract】This research investigates the impact of Internet of Things (IoT) applications on decision-making capacity (DMC) development in Corporate Sustainable Leadership (CSL). The research focuses on how IoT enhances Environmental, Social, and Governance (ESG) practices within organizations, addressing key sustainability challenges and supporting Sustainable Development Goals (SDGs). Through quantitative and qualitative analyses, the study identifies three primary findings: (1) IoT applications directly enhance power source management in the environmental domain, improving Business Strategy and Long-term Growth (BSLG) and Measurement and Reporting (M&R) capabilities. This is achieved through real-time monitoring, smart building management, and predictive maintenance. In the social sphere, IoT strengthens supply chain transparency, bolstering Stakeholder Management (SM) through real-time tracking and blockchain-integrated systems for product authenticity verification. IoT comprehensively empowers performing risk management in the governance realm, improving Organizational Culture (OC) through early warning systems and predictive analytics for risk mitigation. (2) IoT integration facilitates Data-Driven Decision Making (DDDM), Real-Time Responsiveness (RTR), and Business Risk Management (BRM), key components of IoT-DMC. Furthermore, it supports the development of Effective Stakeholder Management (ESM), Resource Efficiency (RE), and Sustainable Competitive Outcomes (SCO) within IoT-CSL. (3) While highlighting the potential of IoT in advancing CSL, the research also acknowledges challenges such as initial investment costs, data privacy concerns, technological complexity, energy consumption of IoT devices, and electronic waste management. The study concludes that successful IoT implementation in CSL requires careful planning, robust data management, and a holistic approach considering both benefits and potential drawbacks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Internet of thing (IoT); Decision-making capacity (DMC); Corporate sustainable leadership (CSL); Environment, Society and governance (ESG)
【发表时间】2024
【收录时间】2024-10-14
【文献类型】 实证数据
【Author】 Pernagallo, Giuseppe
【影响因子】3.778
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】The empirical literature has studied linkages in the cryptocurrency market because knowing how shocks pass from one currency to another helps policymakers and practitioners better counter their propagation in these and related markets. This paper contributes to this literature by proposing a methodology based on Granger causality and network analysis. Using the daily log- returns of 22 cryptocurrencies over the period 2018-2023, I develop a VAR model to infer unidirectional or bidirectional Granger causality among cryptocurrencies. These relationships are then transformed into a directed network and several centrality measures are calculated. The centrality measures are also observed over the years to understand the dynamics of the cryptocurrency network. I find out that each one unit increase in eigencentrality is associated with a 0.22 percent increase in log-returns. Cryptocurrencies are nontrivially connected, and in this sample Cardano, Dogecoin, Gridcoin, and Neo are amongst the most central in the network throughout the period. Some cryptocurrencies, such as Dogecoin or Neo, show decreasing centrality over the years, while others, such as Gridcoin, Litecoin, Namecoin, or Ripple, gain centrality. These results support the idea that the cryptocurrency market is no longer exclusively associated with Bitcoin and lay the groundwork for further study of shock propagation in financial markets.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrencies; Digital Markets; Finance; Macroeconomics Networks; Networks; Time Series Econometrics
【发表时间】2024
【收录时间】2024-10-14
【文献类型】 实证数据
【影响因子】3.721
【主题类别】
区块链应用-实体经济-生物领域
【Abstract】Speech recognition systems have been widely employed in several fields including biometric access control. In such systems, handling sensitive data represents a real threat and risk to security and privacy, namely in the central environment. This paper proposes an innovative solution that integrates speech recognition power as a biometric modality with the decentralized and tamper-resistant nature of blockchain technology aims at designing, implementing, and evaluating an access control system that not only leverages the unique characteristics of speech recognition through the AutoEncoding Generative Adversarial Network (AE-GAN) model for user authentication but also ensures the enforcement of access policies and voice templates storage through two distinct Smart Contracts. The first smart contract aims at storing the ID of encrypted templates matched to the hash of the public address and encrypted attributes. While the second smart contract incorporates the security policy and takes charge of generating an access token if the conditions have been satisfied. Which makes it easier to upgrade specific components without affecting the entire system. Moreover, this architecture delegates the extraction features, conversion into template, encryption, and similarity calculation functions of encrypted templates using homomorphic encryption to an API to provide more security, privacy, scalability and interoperability and reduce the overhead within the blockchain. This API interacts with the smart contract using Oracle services that ensure the interaction between on-chain and off-chain, which provide a reliable, fine-grained, and robust scheme. The simulation of this proposed scheme proves its robustness, efficiency, and performance in terms of security, reliability, and resistance to several attacks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Biometrics; Cybersecurity; Speech recognition; Deep learning; Access control
【发表时间】2025
【收录时间】2024-10-14
【文献类型】 理论模型
【Author】 Wang, Weizhi Xia, Lei Zhang, Zhuo Meng, Xiankai
【影响因子】0.695
【主题类别】
区块链治理-技术治理-智能合约漏洞检测
【Abstract】Smart contracts, as a form of digital protocol, are computer programs designed for the automatic execution, control, and recording of contractual terms. They permit transactions to be conducted without the need for an intermediary. However, the economic property of smart contracts makes their vulnerabilities susceptible to hacking attacks, leading to significant losses. In this paper, we introduce a smart contract timestamp vulnerability detection technique HomoDec based on code homogeneity. The core idea of this technique involves comparing the homogeneity between the code of the test smart contract and the existing smart contract vulnerability codes in the database to determine whether the tested code has a timestamp vulnerability. Specifically, HomoDec first explores how to vectorize smart contracts reasonably and efficiently, representing smart contract code as a high-dimensional vector containing features of code vulnerabilities. Subsequently, it investigates methods to determine the homogeneity between the test codes and the ones in vulnerability code base, enabling the detection of potential timestamp vulnerabilities in smart contract code.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】potential timestamp smart contract; vulnerability detection; code homogeneity
【发表时间】2024
【收录时间】2024-10-14
【文献类型】 理论模型
【Author】 Seo, Jungwon
CCF-C
【影响因子】0.575
【主题类别】
区块链技术-协同技术-身份验证
【Abstract】This paper presents an innovative Web 3.0 authentication technique, designed for a user-centric internet environment. Addressing the rising demand for authentication techniques suitable for Web 3.0, it defines the essential features of such systems and introduces a new approach using smart contracts. This approach utilizes mother and child tokens in conjunction with the lock smart contract to ensure secure authentication. The approach is thoroughly tested against various security threats, including man-in-the-middle, replay, and brute-force attacks, and its practicality is evaluated on Ethereum-based networks
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Web 3.0; Web 3.0 authentication; smart contract
【发表时间】2024
【收录时间】2024-10-14
【文献类型】 实证数据