CAREER: Increasing Trust and Reducing Abuse in Telephone Networks

职业：增加电话网络中的信任并减少滥用

• 批准号: 2142930
• 负责人: Bradley Reaves
• 金额: $ 60.68万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2142930&HistoricalAwards=false
• 关键词: CAREER; Increasing; Trust; Reducing; Abuse

Unsolicited phone calls, also known as robocalls, are one of the most pervasive and visible network security problems in the United States. Despite the sincere efforts of telephone providers, regulators, legislators, and technologists, there are virtually no consistently effective countermeasures. The project’s novelties are in creating technical solutions that will empower regulators and providers to stop robocalling at scale. The project's broader significance and importance lie in dramatically improving the security and trustworthiness of the telephone network and, in so doing, restoring the telephone network as a useful communications medium.The goal of this work is to end the scourge of unsolicited phone calls by creating new techniques to detect abusive actors, restore trust in telephony by positively authenticating all phone calls, and prevent compromises of Internet voice infrastructure that would enable robocall abuse. The principal methodologies include developing threat intelligence, designing secure and privacy-preserving protocols, conducting Internet-scale measurement, and call audio analysis. This project is also developing public information campaigns, operator and regulator training, and telephone security content for network security courses.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

未经请求的电话，也被称为robocalls，是美国最普遍和最明显的网络安全问题之一。 尽管电话提供商、监管机构、立法者和技术人员做出了真诚的努力，但实际上并没有持续有效的对策。 该项目的创新之处在于创建技术解决方案，使监管机构和供应商能够大规模阻止机器人呼叫。 该项目更广泛的意义和重要性在于极大地提高了电话网络的安全性和可信度，并在此过程中恢复电话网络作为有用的通信媒介。这项工作的目标是通过创造新技术来检测滥用行为者，通过积极验证所有电话来恢复对电话的信任，并防止互联网语音基础设施的妥协，使robocall滥用。主要方法包括开发威胁情报，设计安全和隐私保护协议，进行互联网规模的测量和通话音频分析。 该项目还开发公共信息活动、运营商和监管机构培训以及网络安全课程的电话安全内容。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Diving into Robocall Content with SnorCall

• 发表时间: 2023
• 期刊: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
• 作者: S. Prasad;T. Dunlap