针对威胁、网络犯罪和数字取证调查的智慧城市基础设施本体

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yee Ching Tok, Davis Yang Zheng, Sudipta Chattopadhyay
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引用次数: 0

摘要

对于国家资助的行为者、网络罪犯和受经济困难影响的技术人员来说,网络犯罪和与网络相关的妥协市场正成为有吸引力的收入来源。由于网络犯罪在新科技领域迅速发展,我们努力协助数码法医调查人员和执法机构进行调查工作。法医工具创新和本体发展,如统一网络本体(UCO)和网络调查分析标准表达(CASE),已被提出以协助DFI和LEA。尽管这些工具和本体很有用,但它们缺乏广泛的信息共享和工具互操作性特征,并且本体缺乏提出的最新智能城市基础设施(SCI)背景。为了缓解这两种解决方案的弱点,并确保所有人都有一个更安全的网络物理环境,我们提出了智慧城市本体范式表达(Scope),这是UCO和CASE本体的扩展概要,实现了SCI威胁模型、SCI数字取证证据、攻击技术、MITRE的模式和分类。我们展示了Scope如何通过一个事件场景来呈现复杂的数据,如sci特定的威胁、网络犯罪、调查数据和事件处理工作流,该事件场景是在公开报告的归因于高级持续威胁(APT)组织的真实事件之后建模的。我们还向社区提供Scope,以便能够识别、展示和共享诸如SCI等新兴趋势中的威胁、数字证据和网络犯罪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart City Infrastructure ontology for threats, cybercrime, and digital forensic investigation
Cybercrime and the market for cyber-related compromises are becoming attractive revenue sources for state-sponsored actors, cybercriminals and technical individuals affected by financial hardships. Due to burgeoning cybercrime on new technological frontiers, efforts have been made to assist digital forensic investigators (DFI) and law enforcement agencies (LEA) in their investigative efforts.
Forensic tool innovations and ontology developments, such as the Unified Cyber Ontology (UCO) and Cyber-investigation Analysis Standard Expression (CASE), have been proposed to assist DFI and LEA. Although these tools and ontologies are useful, they lack extensive information sharing and tool interoperability features, and the ontologies lack the latest Smart City Infrastructure (SCI) context that was proposed.
To mitigate the weaknesses in both solutions and to ensure a safer cyber-physical environment for all, we propose the Smart City Ontological Paradigm Expression (Scope), an expansion profile of the UCO and CASE ontology that implements SCI threat models, SCI digital forensic evidence, attack techniques, patterns and classifications from MITRE.
We showcase how Scope could present complex data such as SCI-specific threats, cybercrime, investigation data and incident handling workflows via an incident scenario modeled after publicly reported real-world incidents attributed to Advanced Persistent Threat (APT) groups. We also make Scope available to the community so that threats, digital evidence and cybercrime in emerging trends such as SCI can be identified, represented, and shared collaboratively.
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来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
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