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Ph.D. Proposal: Justin Furuness

December 18, 2020 @ 9:00 am - 10:30 am EST

Doctoral Dissertation Proposal

Title: Enhancing Routing Security Through Data-driven Analysis

Student: Justin Furuness

Major Advisor: Prof. Amir Herzberg

Associate Advisors: Prof. Bing Wang, Prof. Ghada Almashaqbeh

Date/Time: Friday, December 18th, 2020, 9:00AM

Meeting Link: https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m571e8feaf70653cb513592efc2949801

Meeting number: 120 102 6698

Password: jBEmuw9xQ46

Join by phone: +1-415-655-0002 US Toll

Access code: 120 102 6698


Internet routing is insecure and often abused, mostly for intercepting traffic to IP addresses not assigned to the attacker, facilitating common attacks. We will describe some of our work on routing security, mainly ROV++ and the Internet Routing Extrapolator.

ROV++ improves the Route Origin Validation (ROV) standard – a (partial) defense against route hijacks. ROV++ is simple, deployable, and effective. It significantly improves upon ROV, especially in early deployments (which incentivizes adoption, unlike ROV) and new hijacks we propose. We are working with UConn and CEN to (hopefully) begin pilot deployments of ROV++. 

The Internet Routing Extrapolator is a tool we develop that vastly improves the precision of internet routing protocol simulations. The efficiency improvements, such as reducing simulation complexity from O(n^2) to O(n), have allowed us to do large scale simulations. It has provided insight into internet routing decisions and we further research correctness aspects.

We also briefly describe additional ongoing/planned research focused on routing security and defenses against network-based DDoS attacks. 

The talk will not assume prior knowledge in these areas. This is joint work with Reynaldo Morillo, Cameron Morris, Anna Gorbenko, Bing Wang, and Amir Herzberg.




December 18, 2020
9:00 am - 10:30 am EST

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