Title: Towards a Secure Internet of Things
Embedded, networked sensors and actuators are everywhere. They are in engines, monitoring combustion and performance. They are in our shoes and on our wrists, helping us exercise enough and measuring our sleep. They are in our phones, our homes, hospitals, offices, ovens, planes, trains, and automobiles. Their streams of data will improve industry, energy consumption, agriculture, business, and our health. Software processes these streams to provide real-time analytics, insights, and notifications, as well as control and actuate the physical world. The emerging Internet of Things has tremendous potential, but also tremendous dangers. Internet threats today steal credit cards. Internet threats tomorrow will disable home security systems, flood fields, and disrupt hospitals.
The Secure Internet of Things Project (SITP) is 5-year collaboration between Stanford and UC Berkeley. Its goal is to rethink how we design, implement and test the Internet of Things so that it is secure and dependable. I'll give an overview of the project, its research goals, and its participants. I'll talk about two research efforts in the project: Tock, a secure embedded operating system, and Beetle, a new abstraction layer for Bluetooth networks that is able to support a much wider range of applications.
Philip Levis is an Associate Professor in the computer science and electrical engineering departments at Stanford University. He’s published some papers and won some awards. At Stanford, he co-directs the Secure Internet of Things Project as well as lab64, an electronics maker space. He likes his students a lot and so tries to buy them snacks very often. He loves great engineering and has a self-destructive aversion to low-hanging fruit.
Title: High Capacity Wireless Networks through Collaboration and Intelligent Information Storage
A significant portion of today's network traffic is due to recurring downloads of popular content (e.g., movies, video clips and daily news). It has been observed that replicating the latter in caches installed at the network edge -close to the users- can drastically reduce network bandwidth usage and improve content access delay. The key technical issues in emergent caching architectures relate to the following questions: where to install caches, what content and for how long to cache, and how to manage the routing of content within the network. In this talk, an overview of caching is provided, starting with generic architectures that can be applied to different networking environments, and moving to emerging architectures that enable caching in wireless networks (e.g., at cellular base stations and WiFi access points). Novel challenges arise in the latter due to the inadequacy of wireless resources and their broadcast nature, the frequent hand-offs between different cells for mobile users, as well as the specific requirements of different types of user applications, such as video streaming. We will present our recent results on innovative caching approaches that (i) harvest idle user-owned cache space and bandwidth, (ii) leverage the broadcast nature of the wireless medium to serve concurrent requests for content (iii) exploit the regularity of user mobility patterns, and (iv) apply advanced video encoding techniques to support multiple video qualities (e.g., screen sizes, frame rates, or signal-to-noise ratio (SNR) qualities). These are cutting-edge approaches that can achieve significant performance and cost-reduction benefits over the state-of-the-art methods.
Leandros Tassiulas is the John C. Malone Professor of Electrical Engineering at Yale University. His research interests are in the field of computer and communication networks with emphasis on fundamental mathematical models and algorithms of complex networks, architectures and protocols of wireless systems, sensor networks, novel internet architectures and experimental platforms for network research. His most notable contributions include the max-weight scheduling algorithm and the back-pressure network control policy, opportunistic scheduling in wireless, the maximum lifetime approach for wireless network energy management, and the consideration of joint access control and antenna transmission management in multiple antenna wireless systems. Dr. Tassiulas is a Fellow of IEEE 2007. His research has been recognized by several awards including the IEEE Koji Kobayashi computer and communications field award 2016, the inaugural INFOCOM 2007 Achievement Award "for fundamental contributions to resource allocation in communication networks," several best paper awards including the INFOCOM 1994, 2017 and Mobihoc 2016, a National Science Foundation (NSF) Research Initiation Award (1992), an NSF CAREER Award (1995), an Office of Naval Research Young Investigator Award (1997) and a Bodossaki Foundation award (1999). He holds a Ph.D. in Electrical Engineering from the University of Maryland, College Park (1991). He has held faculty positions at Polytechnic University, New York, University of Maryland, College Park, University of Ioannina and University of Thessaly, Greece.