论文标题
基于演员的智能移动性区块链的风险分析
Actor-based Risk Analysis for Blockchains in Smart Mobility
论文作者
论文摘要
区块链技术是一种基于加密货币的安全分类帐，用于数据存储和通过分散的，无信任的对等系统传输。尽管具有优势，但以前的研究表明，该技术并不能完全安全地抵抗网络攻击。因此，执行特定风险分析以衡量攻击对系统的可行性，其影响以及风险暴露至关重要。具体而言，在本文中，我们对量化与智能移动性数据市场（BSMD）的操作多层区块链框架相关的风险进行了分析。我们进行基于参与者的分析以确定攻击的影响。该分析确定了五个攻击目标和五种违反区块链系统安全性的攻击者。在公开允许的BSMD的案例研究中，我们根据货币，隐私，正直和信任对受害者的影响，强调了最高风险因素。四个攻击目标在经济损失方面代表了风险，一个攻击目标包含许多威胁，这些威胁代表了一种不可接受或不可接受的风险。
Blockchain technology is a crypto-based secure ledger for data storage and transfer through decentralized, trustless peer-to-peer systems. Despite its advantages, previous studies have shown that the technology is not completely secure against cyber attacks. Thus, it is crucial to perform domain specific risk analysis to measure how viable the attacks are on the system, their impact and consequently the risk exposure. Specifically, in this paper, we carry out an analysis in terms of quantifying the risk associated to an operational multi-layered Blockchain framework for Smart Mobility Data-markets (BSMD). We conduct an actor-based analysis to determine the impact of the attacks. The analysis identified five attack goals and five types of attackers that violate the security of the blockchain system. In the case study of the public permissioned BSMD, we highlight the highest risk factors according to their impact on the victims in terms of monetary, privacy, integrity and trust. Four attack goals represent a risk in terms of economic losses and one attack goal contains many threats that represent a risk that is either unacceptable or undesirable.
