Doctoral Dissertation Oral Defense of Mengyu Hu

Ph.D. candidate in Philosophy "Expressivist Semantics, Metaethical Taxonomy and Functional Explanation"

Please attend: Doctoral Dissertation Oral Defense Title: Securing BGP ASAP: ASPA and other post-ROV policies Ph.D. Candidate: Justin Furuness Major Advisor: Dr. Amir Herzberg Associate Advisors: Dr. Bing Wang, Dr. Ghada Almashaqbeh Date/Time: Friday July 12th 2PM 2024 Location: ITE201 WebEx Meeting LineL https://meetingsamer41.webex.com/meetingsamer41/j.php?MTID=me9cba4aa1f391c40b1225841520e5313 Meeting number: 2553 067 2425 Password: pgMGEhKr968 (74643457 when dialing from a video system) Abstract: Before the adoption of Route Origin Validation (ROV), prefix and subprefix hijacks were the most effective and common attacks on BGP routing. Recent studies indicate that ROV adoption is increasing; with sufficient adoption, prefix and subprefix attacks become ineffective. We study this changing landscape and, in particular, the Autonomous System Provider Authorization (ASPA) proposal, which focuses on route leakage but also thwarts some BGP attacks. Using recent measurements of real-world ROV adoption, we evaluate its security impact. Our simulations show a substantial impact; already today, prefix hijacks are less effective than origin hijacks. Therefore, we expect attackers to shift to origin hijacks and other post-ROV attacks. We present extensive evaluations of the impact of ASPA, comparing it to alternatives such as BGPsec, Path-End, OTC, and EdgeFilter. We assess the defense against multiple post-ROV attacks, including a novel attack, neighbor spoofing, which is extremely powerful if not blocked. We show that ASPA significantly protects against post-ROV attacks, even with partial adoption—contrasting with BGPsec. However, interestingly, we find that ASPA is not better than OTC at preventing unintentional route leaks. The ASPA proposal presents a scenario where ASPA fails, involving a provider AS attacking an AS in its customer cone. We show that ASPA can similarly fail against an edge attacking AS. We present a possible fix; however, we also demonstrate that the fix does not significantly improve ASPA's defenses against a random attacker.

ANSC PhD Defense: Ms. Amanda ReiterDate: 07/15/2024Time: 9:00 AM - 10:00 AMLocation: George White Building, Room 115 (York)If you require an accommodation to participate in this event, please contact Dr. Sarah Reed at 860-486-8452 (tel:+18604868452) orsarah.reed@uconn.edu (mailto:sarah.reed@uconn.edu)at least 5 days in advance of the seminar

Doctoral Dissertation

Title: Investigations in Irregularly-spaced High Frequency Financial Time Series Field of study: Statistics Volatility modeling is crucial in finance, particularly for intra-day transaction-level asset returns. The irregular and high-frequency nature of this data, characterized by random gaps between successive transactions, presents unique challenges. This dissertation introduces a new set of time series models designed to accommodate these random gaps, effectively modeling intra-day asset returns in both univariate and multivariate setups.

Reframing The Supplemental Nutrition Assistance Program (SNAP): Applying a Human Rights Framework to Federal Food Assistance in the United States - UConn School of Social Work.