Bradley Reaves
North Carolina State University, NC·Computer Science·Early-career
Robocalls, the unwanted automated phone calls that most people get daily, are among the most widespread and visible network security problems in the United States. Despite efforts by phone companies, regulators, lawmakers and technologists, no countermeasure works consistently.
- Fields
Computer Science
Engineering
- Topics
robocalls
telephone security
telephony
- Grants
- 1 known grant, through Jun 2028
What they work on
- Develop new techniques, including threat intelligence and call audio analysis, to detect abusive robocalling actors in the telephone network.
- Design secure, privacy-preserving protocols that positively authenticate phone calls, so recipients can trust who is calling.
- Use Internet-scale measurement to find and prevent compromises of Internet voice infrastructure that enable robocall abuse.
More about the research
The project asks how to make the phone network trustworthy again so that a call can be believed to come from who it claims to be.
Why it matters
Robocalls waste people's time, enable scams and have made many people stop answering their phones. Tools to detect abusive callers, verify caller identity and secure Internet voice systems could help phone providers and regulators block robocalls at scale. That could restore the phone network as a reliable way for people, businesses and services to reach each other.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Michael Collins
University of Southern California, CA·Computer Science
Develop an intrusion detection approach in which organizations diagnose suspicious events by posing targeted queries about other organizations' operational state.
Yixin Sun
University of Virginia, VA·Computer Science
Build an extensible model that automatically detects personally identifiable information in structured and semi-structured campus network logs, fine-tune it on historical logs, and turn it into a tunable service for live feeds and archives.
Xing Gao
University of Delaware, DE·Computer Science·Early-career
Build a security testing system that combines dynamic execution and static analysis to examine every critical component of continuous software development pipelines and how each interacts with the people and organizations involved.
The school
North Carolina State University: 40 labs on PI Pages, $717M a year on research, 603 research doctorates a year.
Reach out
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