Validating Common Characteristics of Malicious Insiders: Proof of Concept Study

Liang, Nan; Biros, David P.

doi:10.1109/hicss.2016.463

Cited by 8 publications

(5 citation statements)

References 19 publications

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“…The term "named entity recognition" refers to an information extraction task for detecting named entities that are related, such as people, organizations, locations, expressions of time, and money [79,80]. "Dictionaries" are lists composed of keywords extracted from texts with descriptions of the characteristics related to a target term or word [81]. These textual data structures present the sensitivity of a text or document as defined by the experts in the field to which it is related [82].…”

Section: Text Mining Techniques and Technologies Applied In Public Se...mentioning

confidence: 99%

Enabling Public Security Text-Based Analytics: A Survey to Outline Research Directions

De Carvalho,

Dos Santos,

Nepomuceno

et al. 2024

Preprint

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Text mining is a technological trend often highlighted in the continuous exchange of information through interconnected media. Its applicability goes beyond private organizations, as the public sector also requires it to treat textual information regarding services offered. Within this scenario, public security emerges as a prominent user of text mining that seeks to ensure the construction of data and knowledgebases to support decision-making about law enforcement actions to ensure citizen welfare. The primary objectives of this article are: (i) to develop a survey to identify text mining applications, techniques, opportunities, and challenges in public security, and (ii) to outline research directions concerning these topics and provide insights so that interested researchers can develop new studies. The literature was searched within four databases: Scopus, IEEE Xplore, ACM Digital Library, and Web of Science. A filtering process was applied to extract the works most aligned with the target theme, resulting in the selection of 194 of the most relevant works for a literature review. There were identified nineteen key applications of text mining related to public security and the most recurrent techniques and technologies reported between 2014 to 2021, supporting outlining three axes for future directions: one with possible expansion of objectives for new research; another on changes and adaptations in scopes for the methodological context; and the last one on expansions and changes in application scenarios based on the literature.

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Section: Text Mining Techniques and Technologies Applied In Public Se...mentioning

confidence: 99%

Enabling Public Security Text-Based Analytics: A Survey to Outline Research Directions

De Carvalho,

Dos Santos,

Nepomuceno

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…They also elucidated the efficacy of the critical pathway method and the psychological states of the abusers leading up to the events. These studies laid the groundwork for further psychosocial-behavioral modeling for ITRA [6,5,8,7].…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, prior research has taken significant strides in enumerating the psychological factors of possible malicious insiders, but, given the broad definition of insider threat [3], has refrained from associating them with insider threat types. Research in this area has taken significant strides in elucidating these factors through case studies [4], expert interviews [5,6], and through comparisons between the psychological profiles of the general population with known malicious insiders [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…Furthering this idea is research that has elucidated several frameworks on ITRA psychological factors. [8,7] delineate several personality disorders and mental health disorders found in Axis I and Axis II of the Diagnostic Statistical Manual (DSM) [23] such as avoidant personality disorders and disruptive mood dysregulations that can manifest in a malicious insider. [6,5,24,25] developed the Sociotechnical and Organizational Factors for Insider Threat Ontology (SOFIT), that delineates Psychological Factors as Dynamic States (attitude and mental states) and Enduring Traits (personality dimensions less likely to change over time).…”

Section: Introductionmentioning

confidence: 99%

“…Missing from the above research is the validation and advancement of established psychological factors using ground truth operational data from an actual insider threat organization. Indeed, ITRA research must advance beyond the delineation of psychological factors using only public data about the most extreme malicious insiders [8,7], and must move beyond research that delineates psychological factors using only the opinions of expert judges [6,5,24]. Moreover, ITRA research streams must now advance beyond user-profiling using Linguistic Inquiry and Word Count models [21,20,5] to NLP methods that can get at underlying meaning.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predicting the Threat: Investigating Insider Threat Psychological Indicators With Deep Learning

Horneman¹,

Ditmore²,

Motell³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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The term "insider threat" can take many forms, ranging from an information security risk to the threat of an active shooter. Accordingly, it is beneficial to researchers and practitioners to understand the relationship between psychological factors and the different types of threats an insider may pose to an organization.This research advances this understanding.Specifically, we investigate the three-way relationship between user-generated text, psychological factors espoused in insider threat literature, and risk indicator categories used by the U.S. Government. We employ advancements in machine learning and Natural Language Processing to investigate this relationship.Specifically, we use Bidirectional Encoder Representations from Transformers (BERT) for word embedding and vector space modeling. Our results indicate that there are indeed associations between established risk categories and the psychological factors seen as predictive of malicious insiders. Our exploratory research also reveals that further research is warranted to advance the predictive capability of insider threat modeling 1 .

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Operationalising a framework for organisational vulnerability to intentional insider threat: the OVIT as a valid and reliable diagnostic tool

Bedford

Laan

2020

Journal of Risk Research

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Validating Common Characteristics of Malicious Insiders: Proof of Concept Study

Cited by 8 publications

References 19 publications

Enabling Public Security Text-Based Analytics: A Survey to Outline Research Directions

Enabling Public Security Text-Based Analytics: A Survey to Outline Research Directions

Predicting the Threat: Investigating Insider Threat Psychological Indicators With Deep Learning

Operationalising a framework for organisational vulnerability to intentional insider threat: the OVIT as a valid and reliable diagnostic tool

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