Heavy Networking 488: Using Genetic Algorithms To Avoid Internet Censorship

Av Heavy Networking from Packet Pushers

Avsnittet publicerades: 11/22/2019

Beskrivning

Today on Heavy Networking, we’re going to evolve using genetic algorithms. You heard me right.
Researchers at the University of Maryland in the United States have developed a project called Geneva that uses genetic algorithms to automatically figure out the best way to, in this use case, avoid Internet censorship.
Essentially, we’re going to discuss how to get through the Great Firewall of China with about 6,000 lines of Python.
So put on your propellor beanie, and let’s introduce our guests: David Levin, Assistant Professor, Computer Science and Co-Chair, CS Undergraduate Honors Program at the University of Maryland; and Kevin Bock, a graduate student at the University of Maryland who did much of the work on this project.
We discuss:

* Common techniques state censors use to detect and stop traffic, including encrypted traffic
* Limits to these approaches that Geneva can exploit
* How genetic algorithms work
* Training genetic algorithms against censorship techniques
* Testing mechanisms, including against real-world censors
* Could Geneva be used to thwart legitimate security controls
* More

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Show Links:
Geneva: Evolving Censorship Evasion – University of Maryland
Geneva – GitHub
Dave Levin on Twitter
PQ 58: Alibi Routing With UMD’s Dave Levin – Packet Pushers

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An unabashedly nerdy swan dive into networking technology. Weekly episodes feature industry experts, real-life network engineers and vendors sharing useful information to keep your professional knowledge sharp.