基于网络分析文献的网络行为分析综合框架

IF 1.4 4区 医学 Q3 MEDICINE, LEGAL Forensic Sciences Research Pub Date : 2023-07-22 DOI:10.3390/forensicsci3030032
Melissa Martineau, E. Spiridon, Mary Aiken
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引用次数: 0

摘要

网络犯罪对全球社会构成重大威胁。随着网络犯罪数量的逐年增加和经济损失的不断增加,执法部门必须提高识别网络犯罪分子、收集证据并将网络犯罪分子送上法庭的能力。迄今为止,打击网络犯罪的方法可以说是以技术为中心的(例如,反病毒、反间谍软件)。然而,网络犯罪是基于人类动机的人类活动的结果。因此,任何打击网络犯罪的综合执法策略都必须包括对键盘背后的黑客有更深入的了解。本系统综述的目的是通过进行定性元综合来检查与以人为中心的调查工具(即,侧写)应用于网络犯罪相关的文献状况。遵循PRISMA 2020指南,本系统审查特别关注以计算机为目标的网络犯罪(例如,黑客攻击、DDoS攻击、恶意软件分发)。通过综合搜索策略,本综述使用了以下搜索词:“网络犯罪”、“计算机犯罪”、“互联网犯罪”、“网络犯罪”、“黑客”、“黑帽”、“侧写”、“犯罪侧写”、“心理侧写”、“罪犯侧写”、“犯罪调查分析”、“行为侧写”、“行为侧写”、“人格侧写”、“调查心理学”、“行为证据分析”的所有组合,以识别ACM数字图书馆、EBSCOhost数据库、IEEE Xplore、ProQuest、Scopus、PsychInfo、和谷歌学术搜索。应用纳入/排除标准后,共纳入72篇文献。本文利用对当前网络分析文献的系统回顾,作为开发将分析技术应用于网络犯罪的综合框架的基础-被称为网络行为分析(CBA)。尽管经过了几十年的研究,我们对网络罪犯的了解仍然有限。缺乏专门的研究人员,关于技术介导的人类行为的研究缺乏,以及对数据集的有限访问阻碍了进展。本文的目的是推进网络行为科学的知识库,并在此过程中,为未来与网络罪犯的特征和特征以及分析技术和方法在网络犯罪中的应用相关的实证研究提供信息。
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A Comprehensive Framework for Cyber Behavioral Analysis Based on a Systematic Review of Cyber Profiling Literature
Cybercrime presents a significant threat to global society. With the number of cybercrimes increasing year after year and the financial losses escalating, law enforcement must advance its capacity to identify cybercriminals, collect probative evidence, and bring cybercriminals before the courts. Arguably to date, the approach to combatting cybercrime has been technologically centric (e.g., anti-virus, anti-spyware). Cybercrimes, however, are the result of human activities based on human motives. It is, therefore, important that any comprehensive law enforcement strategy for combatting cybercrime includes a deeper understanding of the hackers that sit behind the keyboards. The purpose of this systematic review was to examine the state of the literature relating to the application of a human-centric investigative tool (i.e., profiling) to cybercrime by conducting a qualitative meta-synthesis. Adhering to the PRISMA 2020 guidelines, this systematic review focuses specifically on cybercrime where a computer is the target (e.g., hacking, DDoS, distribution of malware). Using a comprehensive search strategy, this review used the following search terms: “cybercrime”, “computer crime”, “internet crime”, “cybercriminal”, “hacker”, “black hat”, “profiling”, “criminal profiling”, “psychological profiling”, “offender profiling”, “criminal investigative analysis”, “behavioral profiling”, “behavioral analysis”, “personality profiling”, “investigative psychology”, and “behavioral evidence analysis” in all combinations to identify the relevant literature in the ACM Digital Library, EBSCOhost databases, IEEE Xplore, ProQuest, Scopus, PsychInfo, and Google Scholar. After applying the inclusion/exclusion criteria, a total of 72 articles were included in the review. This article utilizes a systematic review of the current literature on cyber profiling as a foundation for the development of a comprehensive framework for applying profiling techniques to cybercrime—described as cyber behavioral analysis (CBA). Despite decades of research, our understanding of cybercriminals remains limited. A lack of dedicated researchers, the paucity of research regarding human behavior mediated by technology, and limited access to datasets have hindered progress. The aim of this article was to advance the knowledge base in cyber behavioral sciences, and in doing so, inform future empirical research relating to the traits and characteristics of cybercriminals along with the application of profiling techniques and methodologies to cybercrime.
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来源期刊
Forensic Sciences Research
Forensic Sciences Research MEDICINE, LEGAL-
CiteScore
3.60
自引率
7.70%
发文量
158
审稿时长
26 weeks
期刊最新文献
Characterizing pen strokes produced using various commercially available thermochromic inks. Dynamic signatures: a mathematical approach to analysis. An experimental study on distinguishing gel pen ink stains using desorption electrospray ionization mass spectroscopy combined with the K-means algorithm. Correction to: Forensic efficiency and population genetic construction of Guizhou Gelao minority from Southwest China revealed by a panel of 23 autosomal STR loci. Correction to: Metric analysis of the patella for sex estimation in a Portuguese sample.
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