工作场所满意度如何影响内部威胁检测作为减轻恶意网络内部人员的重要变量

Karla Clarke, Y. Levy, L. Dringus, S. Brown
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引用次数: 0

摘要

缓解内部威胁是组织内部日益严峻的挑战。开发一种新的警报可视化仪表板来识别潜在的恶意网络内部威胁是缓解这一挑战的必要条件。本研究开发了一个网络内部威胁仪表板可视化原型,用于检测潜在的恶意网络内部活动QUICK.v™。本研究利用主题专家(sme)运用德尔菲法来确定最关键的网络可视化变量和排名。本文包含了一项基于调查的实验研究的详细结果,该研究确定了关键网络安全变量,也称为网络安全生命体征。识别出的生命体征将帮助网络安全分析师对潜在的恶意内部威胁进行分类。从42家网络安全中小企业评估的总共45个分析变量中,通过全面的数据收集过程确定了前六个变量。结果表明,工作场所满意度是最重要的网络可视化变量之一,应该进行测量和可视化,以帮助网络安全分析师检测潜在的恶意网络内部威胁活动。描述了数据收集的过程,以识别和排序关键的网络可视化变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How workplace satisfaction affects insider threat detection as a vital variable for the mitigation of malicious cyber insiders
Insider threat mitigation is a growing challenge within organizations. The development of a novel alert visualization dashboard for the identification of potentially malicious cyber insider threats was identified as necessary to alleviate this challenge. This research developed a cyber insider threat dashboard visualization prototype for detecting potentially malicious cyber insider activities QUICK.v™. This study utilized Subject Matter Experts (SMEs) by applying the Delphi Method to identify the most critical cyber visualization variables and ranking. This paper contains the detailed results of a survey based experimental research study that identified the critical cybersecurity variables also referred to as cybersecurity vital signs. The identified vital signs will aid cybersecurity analysts with triage for potentially malicious insider threats. From a total of 45 analytic variables assessed by 42 cybersecurity SMEs, the top six variables were identified using a comprehensive data collection process. The results indicated that workplace satisfaction is one of the top critical cyber visualization variables that should be measured and visualized to aid cybersecurity analysts in the detection of potentially malicious cyber insider threat activities. The process of the data collection to identify and rank critical cyber visualization variables are described.
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