Bio: Quinn Burke is a fourth year PhD student at the University of Wisconsin-Madison. He completed his B.S. and M.S. degrees in Computer Science at Penn State University, working under Prof. Patrick McDaniel. His research interests are in systems and network security. His current work focuses on designing efficient techniques for ensuring data integrity in large-scale cloud storage systems.
Abstract: Storage systems are the backbone of modern cloud infrastructure. These systems are a constant target for attackers, and securing them is becoming an increasingly important (yet challenging) task. In particular, scale can amplify security costs, and modern TB- and PB-scale cloud storage systems can stretch security mechanisms to their limits, making security costs prohibitive. Designing scalable security mechanisms is therefore critical to the long-term success of cloud storage systems.
In this talk, I will discuss our ongoing work on designing scalable security mechanisms for cloud storage systems. I will focus on one particular aspect of storage security: the data integrity problem. I will first discuss the role of data integrity in the context of modern threat models. I will then discuss our recent work that rethinks how we should design integrity structures for scalability. I will then conclude by tying our work to the broader issue of data integrity for cloud systems and discussing open problems.
