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Build, Run, Survive: how to design efficient systems that can withstand adversarial settings

Speaker: 
Leonardo Querzoni
speaker DIAG: 
Data dell'evento: 
Friday, 24 January, 2020 - 17:00
Luogo: 
Aula A3
In ottemperanza ai requisiti previsti dalla procedura valutativa per n.1 posto di professore di ruolo di II fascia SC 09/H1 SSD ING-INF/05 - Dipartimento di Ingegneria Informatica Automatica e Gestionale "A. Ruberti", Codice bando: 2019PAR005, venerdì 24 gennaio 2020 alle ore 17:00, in aula A3 si terrà il seminario di Leonardo Querzoni che illustrerà sue attività di ricerca svolte e in corso di svolgimento.
 
ABSTRACT: The design of modern computing systems is commonly characterized by a large degree of complexity that stems from several concurrent factors. Design requirements impose several constraints that are hard to satisfy within a single solution: the system must handle  fast data, in an efficient fashion, with fluctuating workloads, etc. Furthermore, such systems are sometimes expected to work in adversarial settings where malicious users may try to subvert their intended behavior. The plethora of open problems that stem from this complexity make system design an extremely interesting research field.
 
In this talk we will make a short stroll on some interesting problems in this field and discuss some of the contributions we provided in the last ten years. In particular we will first focus on the design of systems able to compute on fast-data, highlighting those contribution that had a larger impact on the research community. In the second part of the talk we will move our focus in the field of cybersecurity.
 
SHORTBIO: Leonardo Querzoni got the PhD in 2007 from Sapienza University with a thesis on the design of efficient publish/subscribe systems and it is assistant professor at DIAG since 2008. He worked on several research topics related to distributed systems and, more recently, cybersecurity. He participated to several EU and Italian research projects in these fields. He is author of more than 80 papers in peer reviewed journals and conferences.

 

gruppo di ricerca: 
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