EAGER: Integrating Cognitive and Computer Science to Improve Cyber Security: Selective Attention and Personality Traits for the Detection and Prevention of Risk

EAGER：整合认知和计算机科学以改善网络安全：用于检测和预防风险的选择性注意和人格特征

• 批准号: 1358723
• 负责人: Irfan Ahmed
• 金额: $ 22.3万
• 依托单位: University of New Orleans
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-15 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1358723&HistoricalAwards=false
• 关键词: EAGER; Integrating; Cognitive; Computer; Science

Increasingly, there is a need for better understanding of behavioral and cognitive factors in cyber security. This project is a novel collaboration between computer science cyber security researchers and a cognitive science researcher to generate data on the links between personality traits and cyber security. The broad theoretical premise of the proposed research is that there are particular cognitive preferences and related personality factors that can be assessed in real time, real world scenarios and these may be associated with individual user's secure/insecure cyber behavior. The personality characteristics of trait anxiety and callous unemotional traits are tested via innovative software architecture for immersing subjects in realistic cyber scenarios, to examine the links between response latencies for certain stimuli, personality factors, and cyber behaviors. By studying the links between personality traits and cyber behaviors, it may be possible to develop adaptive software systems, such as user interfaces, alerting systems, and security monitors that tap individual stimuli preferences to substantially reduce the risks or effects of cyber-attacks. The data from the study will inform future work in adaptive cyber security mechanisms, better tailored to individual user traits. The research potentially impacts all sectors of society, since individual citizens, as well as the law enforcement, military, and corporate communities all benefit from research efforts that could facilitate development of better cyber security methods. Furthermore, the psychology and cyber security research communities will benefit from the results of this project and the developed software architecture.

越来越多的人需要更好地理解网络安全行为和认知因素。该项目是计算机科学网络安全研究人员与认知科学研究人员之间的新型合作，以生成有关人格特质与网络安全之间联系的数据。拟议的研究的广泛理论前提是，可以实时评估的特定认知偏好和相关人格因素可以与个人用户的安全/不安全的网络行为有关。特质焦虑和残酷不感情特征的人格特征通过创新的软件结构进行了测试，以使受试者沉浸在现实的网络场景中，以检查针对某些刺激，人格因素和网络行为的响应潜伏期之间的联系。通过研究人格特征与网络行为之间的联系，可以开发自适应软件系统，例如用户界面，警报系统和安全监视器，这些系统可以利用单个刺激偏好，从而大大降低网络攻击的风险或影响。该研究的数据将为未来的自适应网络安全机制提供信息，以更好地针对单个用户特征量身定制。这项研究可能会影响社会的所有部门，因为个人公民以及执法，军事和企业社区都受益于可以促进更好的网络安全方法发展的研究工作。此外，心理学和网络安全研究社区将从该项目的结果和开发的软件体系结构中受益。