Title: Robust and Secure Connectivity in IoT Networks and the Internet
Ph.D. Candidate: Reynaldo Morillo-Nolasco
Major Advisors: Dr. Amir Herzberg, Dr. Bing Wang
Associate Advisor: Dr. Alexander Russell
Committee Members: TBD
Date/Time: Wednesday, November 15th, 2023, 1:00 pm
Location: HBL 1102
Meeting link: https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m3336bc7eabab1589043510c906343b56
Meeting number: 2630 778 4802
Password: MsChBE29QC2
Abstract
Reliable communication in distributed networks necessitates both robust and secure connectivity. Robust connectivity ensures sustained communication in the presence of dynamic changes, node mobility, failures, and unreliable channels. Secure connectivity guarantees communication occurs over secure channels from the intended source to the destination. This dissertation delves into these aspects within two network types: highly dynamic, small-scale IoT networks, and the vast landscape of the Internet.
In the dissertation we present three results. The first is on efficient group-based neighbor discovery algorithms for dynamic IoT networks. The second is ROV++, an extension of Route Origin Validation (ROV), the foundation of IETF inter-domain routing defenses. The third result, which is the focus of this dissertation, is “BGP Immunity” a distributed monitoring and defense service against prefix and subprefix hijacking. Our novel approach integrates hijack detection, mitigation, and prevention, resulting in a compelling and comprehensive system. BGP Immunity not only virtually eradicates subprefix hijacks but also enhances connectivity to legitimate origins, while also incentivizing adoption.