Handwriting Analysis Based on Belief of Targeted Individual Supporting Insider Threat Detection
Handwriting Analysis Based on Belief of Targeted Individual Supporting Insider Threat Detection作者机构：Center for Cybersecurity Research and Analysis (CCRA) Capitol Technology University Laurel United States
出 版 物：《Journal of Information Security》 (信息安全（英文）)
年 卷 期：2024年第15卷第3期
页 面：308-319页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Insider Threat Detection Targeted Medical
摘 要：The Unintentional Insider Threat (UIT) concept highlights that insider threats might not always stem from malicious intent and can occur across various domains. This research examines how individuals with medical or psychological issues might unintentionally become insider threats due to their perception of being targeted. Insights from the survey A Survey of Unintentional Medical Insider Threat Category indicate that such perceptions can be linked to underlying health conditions. The study Emotion Analysis Based on Belief of Targeted Individual Supporting Insider Threat Detection reveals that anger is a common emotion among these individuals. The findings suggest that UITs are often linked to medical or psychological issues, with anger being prevalent. To mitigate these risks, it is recommended that Insider Threat programs integrate expertise from medicine, psychology, and cybersecurity. Additionally, handwriting analysis is proposed as a potential tool for detecting insider threats, reflecting the evolving nature of threat assessment methodologies.
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