A Comprehensive Bibliometric Analysis of Insider Threat Scholarship

IF 4.6 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Luke J. Osterritter;Kathleen M. Carley
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引用次数: 0

Abstract

The study of insider threat and insider risk, that of the risk trusted individuals may misuse authorized access to harm their organizations, is a relatively nascent academic field. It is a multidisciplinary problem; one of computer science, information science, and cybersecurity, as well as business, management, organizational theory, psychology, sociology, human behavior, and beyond. Existing reviews have addressed narrow subdomains, such as detection methods, taxonomies, or behavioral modeling, leaving the broader structure of the field, namely its key contributors, institutional networks, topical landscape, and interdisciplinary composition, largely unexamined. This study addresses that gap through a large-scale bibliometric analysis of insider threat and risk scholarship. We assemble a corpus of 3769 publications from 1977 to 2023, drawn from six citation databases and multiple grey literature sources, which we analyze using established bibliometric and network analytical techniques. Our findings reveal a field that has grown steadily since the early 2000s, bolstered by landmark policy events, institutional investments, and high-profile instances of insider threat. The co-authorship network identifies an “invisible college” of scholars, with a large contingent of researchers anchored by universities across nations and several U.S. national laboratories, federally funded research centers, and university-affiliated research centers. Critically, we find a pronounced imbalance in research focus where the vast majority of publications address technical solutions, while a notably smaller amount of work addresses behavioral, organizational, or hybrid approaches—despite broad consensus in the literature that effective insider threat mitigation requires both. Topic network analysis further reveals a well-defined core of research themes, alongside underexplored areas in organizational psychology, positive deterrence, and socio-technical integration. Publication venue analysis reveals a more balanced distribution between conferences and journals than is typical of computer science research, reflecting the field’s interdisciplinary nature. Based on these findings, we identify priority research directions and development of the field. This work provides the first comprehensive bibliometric characterization of insider threat and risk scholarship, offering the research community a foundational look at where the discipline stands and how it should move forward.
内部威胁学术的综合文献计量分析
对内部威胁和内部风险的研究是一个相对新兴的学术领域,即受信任的个人可能滥用授权访问来损害其组织的风险。这是一个多学科的问题;计算机科学、信息科学、网络安全,以及商业、管理、组织理论、心理学、社会学、人类行为学等学科之一。现有的评论已经处理了狭窄的子领域,如检测方法、分类法或行为建模,留下了该领域更广泛的结构,即其关键贡献者、机构网络、局部景观和跨学科组成,在很大程度上没有得到检查。本研究通过对内部威胁和风险学术的大规模文献计量分析来解决这一差距。我们从六个引文数据库和多个灰色文献来源中提取了1977年至2023年的3769篇出版物的语料库,并使用已建立的文献计量学和网络分析技术对其进行了分析。我们的研究结果表明,在具有里程碑意义的政策事件、机构投资和备受瞩目的内部威胁事件的支持下,自21世纪初以来,这一领域一直在稳步增长。共同作者网络确定了一个由学者组成的“隐形学院”,由来自各国大学和几个美国国家实验室、联邦资助的研究中心以及大学附属研究中心的大量研究人员组成。至关重要的是,我们发现在研究重点上存在明显的不平衡,绝大多数出版物涉及技术解决方案,而涉及行为、组织或混合方法的工作明显较少——尽管文献中广泛共识认为有效的内部威胁缓解需要两者。主题网络分析进一步揭示了研究主题的明确核心,以及组织心理学、积极威慑和社会技术整合等未充分探索的领域。发表地点分析显示,与典型的计算机科学研究相比,会议和期刊之间的分布更为平衡,反映了该领域的跨学科性质。基于这些发现,我们确定了该领域的优先研究方向和发展方向。这项工作提供了第一个全面的内部威胁和风险学术的文献计量特征,为研究界提供了一个基本的视角,了解该学科的现状以及它应该如何向前发展。
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来源期刊
IEEE Transactions on Computational Social Systems
IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
10.00
自引率
20.00%
发文量
316
期刊介绍: IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.
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