Instructors/Speakers Dr. Cong WANG City University of Hong Kong Abstract Modern enterprise networks heavily rely on the ubiquitous network middleboxes for advanced traffic-processing functions, such as intrusion detection, web application firewalls, and load balancers. Recent advances in software packet processing and virtualization technologies are further pushing forward the paradigm of migrating middleboxes to third-party providers, e.g., clouds and ISPs, as virtualized services, with well-understood benefits on reduced maintenance cost and increased service scalability. Despite promising, this new paradigm of middlebox services also raises fundamental security challenges. This is majorly because the network traffic is now redirected to and processed by service providers, which are not necessarily in the same trust domain as enterprises. In this talk, I will present some ...

https://www.fst.um.edu.mo/wp-content/uploads/2020/05/sem20170301_01.jpg

Instructors/Speakers Prof. Xuemin LIN The University of New South Wales, Australia Abstract Graphs are very important parts of Big Data and widely used for modelling complex structured data with a broad spectrum of applications such as bioinformatics, web search, social network, road network, etc. Over the last decade, tremendous research efforts have been devoted to many fundamental problems in managing and analysing graph data. In this talk, I will present some of our recent research efforts in processing big graphs including scalable processing theory and techniques, distributed computation, and system framework. Biography Xuemin Lin is a UNSW Scientia Professor and the head of database group in the school of computer science and engineering at UNSW, Australia. Xuemin's research interests lie ...