SBE: Medium: User-Centric Design of a Sonification System for Automatically Alarming Security Threats and Impact

SBE：中：以用户为中心的声音化系统设计，用于自动警报安全威胁和影响

• 批准号: 1564293
• 负责人: Akbar Siami Namin
• 金额: $ 88.92万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1564293&HistoricalAwards=false
• 关键词: SBE; Medium; User; Centric; Design

The Internet has become an integral part of everyday life. The great benefits of the Internet also come with potential risks, security issues, and privacy concerns. Internet security products are usually employed to inform users about security incidents. There are three major problems using these security products: (1) these tools often overwhelm users with a great many features making their usability a serious issue, (2) these tools are not always accessible to every type of user such as those who are visually impaired, and (3) most of the Internet users are unfamiliar with various types of security threats and thus their impacts.This project translates security warnings and threats into various forms of sounds. The introduced user-centric sonification takes a security warning and maps out the risks and consequences associated with the underlying security threat into a certain type of sound that reflects the emotional feelings of the potential risks and harm caused by the threat. The project builds a repository of sounds tagged with their emotional impacts such as fear, happiness, and sadness. The project also builds a second repository of security threats tagged with similar emotional impacts such as fear of loss of sensitive information, impersonation, and privacy exposure. The intellectual merit of this project includes introduction of a user-centric sonification framework in which a cyber threat, along with its risks, severities, and impacts to users, is mapped out to a representative sound that reflects the emotional impacts of the threat to the user. The sonified security warnings undergo extensive usability testing in order to assess the effectiveness of the sonified security threats. The broader impact of this sonification project includes introduction of two repositories of possible sounds and security attacks tagged with their emotional impacts. The constructed repositories can be useful for music and computer security industries such as Amazon, anti-virus software developers, and producers of major Web browsers. The sonification-based technology for translating security warnings to sounds can be integrated into any popular Internet Web browsers. The project will have direct impact on the development of technologies that enhance accessibility for Internet users who are visually impaired and will increase their Internet safety.

互联网已成为日常生活中不可或缺的一部分。互联网的巨大好处也伴随着潜在的风险、安全问题和隐私问题。互联网安全产品通常用于通知用户有关安全事件。使用这些安全产品有三个主要问题：（1）这些工具经常以大量的特征使用户不堪重负，使得它们的可用性成为严重的问题，（2）这些工具并不总是对每种类型的用户（例如那些视力受损的用户）都是可访问的，以及（3）大多数互联网用户不熟悉各种类型的安全威胁及其影响。本项目翻译安全警告，各种形式的声音。引入的以用户为中心的声音处理技术会发出安全警告，并将与潜在安全威胁相关的风险和后果映射到某种类型的声音中，以反映威胁造成的潜在风险和伤害的情感感受。该项目建立了一个声音库，标记了它们的情感影响，如恐惧，快乐和悲伤。该项目还建立了第二个安全威胁库，这些威胁具有类似的情感影响，例如担心丢失敏感信息，冒充和隐私暴露。该项目的智力价值包括引入以用户为中心的发声框架，其中网络威胁及其风险、严重性和对用户的影响沿着被映射到反映威胁对用户的情感影响的代表性声音。声音化安全警告经过广泛的可用性测试，以评估声音化安全威胁的有效性。这个声音化项目的更广泛的影响包括引入两个可能的声音库和标记有情感影响的安全攻击。构建的存储库可以用于音乐和计算机安全行业，如亚马逊，反病毒软件开发商和主要Web浏览器的生产商。将安全警告翻译成声音的基于声音的技术可以集成到任何流行的Internet Web浏览器中。该项目将对技术开发产生直接影响，以提高视障者上网的便利性，并提高他们的互联网安全性。

项目成果

Enforcing Optimal Moving Target Defense Policies

• DOI: 10.1109/compsac.2019.00112
• 发表时间: 2019-07
• 期刊: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
• 作者: Jianjun Zheng;A. Namin

Are Users Better Able to Correctly Interpret Single or Concatenated Auditory Icons that Convey a Complex Message?

用户是否能够更好地正确解释传达复杂信息的单个或串联的听觉图标？

• DOI: 10.1177/1071181322661416
• 发表时间: 2022
• 期刊: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
• 作者: Choi, Jinwoo;Lodinger, Natalie;Jones, Keith S.;Siami Namin, Akbar;Armstrong, Miriam;Sears, David
• 通讯作者: Sears, David

A Comparative Analysis of Modeling and Predicting Perceived and Induced Emotions in Sonification

• DOI: 10.3390/electronics10202519
• 发表时间: 2021-10
• 期刊: Electronics
• 影响因子: 2.9
• 作者: Faranak Abri;Luis Felipe Gutiérrez;Prerit Datta;David R. W. Sears;Akbar Siami Namin;Keith S. Jones

Predicting Consequences of Cyber-Attacks

• DOI: 10.1109/bigdata50022.2020.9377825
• 发表时间: 2020-12
• 期刊: 2020 IEEE International Conference on Big Data (Big Data)
• 作者: Prerit Datta;Natalie R. Lodinger;A. Namin;Keith S. Jones

Grouping and Determining Perceived Severity of Cyber-Attack Consequences: Gaining Information Needed to Sonify Cyber-Attacks

• DOI: 10.1007/s12193-022-00397-z
• 发表时间: 2022-11-01
• 期刊: JOURNAL ON MULTIMODAL USER INTERFACES
• 影响因子: 2.9
• 作者: Jones, Keith S.;Lodinger, Natalie R.;Widlus, Benjamin P.;Namin, Akbar Siami;Maw, Emily;Armstrong, Miriam
• 通讯作者: Armstrong, Miriam