Heavy Networking 488: Using Genetic Algorithms To Avoid Internet Censorship

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

Sponsor: ITProTV
Get over in-depth technical training from ITProTV. ITProTV offers online instruction in CompTIA, Cisco, VMWare, Microsoft and more. You can stream courses live and on demand on your favorite device. Sign up at itpro.tv/packet and save 25%. Use the code PACKET25 when you check out.
Sponsor: ExtraHop
ExtraHop is the enterprise cyber analytics company delivering performance and security from the inside out. ExtraHop offers complete visibility with machine learning to help you make quick, confident decisions about your IT environment. Explore the ExtraHop Performance Platform at extrahop.com/packetpushers.
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