Calvin Ardi

I am a software engineer and researcher with interests in Internet measurement and network security & privacy. I received my PhD in Computer Science at USC, working with John Heidemann in the Analysis of Network Traffic group, and my BS at UC Berkeley.

My interests are on building systems to measure the security and performance of the application layer on the Internet. I was previously at ISI, building infrastructure and observability platforms for cybersecurity experimentation on networking testbeds.

See my other homepage, hosted by the Open Computing Facility at my alma mater, UC Berkeley.

contact

cardi@acm.org

updates

research

Next generation web measurements. Content on today’s Internet is increasingly behind walled gardens traversing through opaque networks: we are developing new techniques and tools to gather representative measurements of the web.

Anti-phishing with AuntieTuna. An anti-phishing browser extension that combines local phish detection on the web with data sharing between peers to improve our collective immunity against phishing.

Network experimentation. Building compute and observability infrastructure to support automated, principled, and reproducible testing and evaluation of next-generation ML, QoS, and traffic engineering systems.

Controlled cybersecurity data sharing. Retro-Future is a technical and policy framework for sharing network security data between multiple organizations for faster and more comprehensive incident response, balancing the reward-risk ratio between improved threat detection and inadvertent data disclosure, enabling automation and incident forecasting.

Content reuse detection. A set of techniques to discover and detect content reuse and duplication on web-scale datasets, with applications in finding link farms and phishing websites.

Other prior work: Evaluating availability of cloud services and systems, securing personal cloud applications, delay-tolerant networks.

publications

notes

code

data