Advancing Computing as a Science & Profession

November 20 - 22 , 2017
Venue: Jamjuree 1, Pathumwan Princess Hotel, Bangkok Thailand

The 13th Asian Internet Engineering Conference (AINTEC) provides an international technical forum for experts from industry and academia. AINTEC especially aims at addressing issues pertinent to the Asia and Pacific region, with vast diversities of socio-economic and networking conditions, while inviting high quality and recent research results from the Internet research community at large. AINTEC 2017 follows the tenth successful editions held in Thailand, in cooperation with ACM SIGCOMM. AINTEC'2017 proceedings will be included in the ACM Digital Library. The conference is single-track and features a technical program with significant opportunities for individual and small-group discussions among a diverse set of participants. The technical sessions will include invited talks by leading experts, presentations of papers, demos, posters, pre-conference activity (27th Asian School). Best Paper Awardee is entitled with an ACM SIGCOMM travel grant program.

Organized by

intERLab Asian Institute of Technology







Asia-Pacific Network Information Centre

Alexander Afanasyev

Dr. Alexander Afanasyev is an Assistant Professor in the School of Computing and Information Sciences in Florida International University. He received his B.Tech. and M.Tech. degrees in Computer Science from Bauman Moscow State Technical University, Moscow, Russia in 2005 and 2007, respectively. He also got M.S. degree in Computer Science at the University of California, Los Angeles in 2012 and in 2013 got his Ph.D degree in Computer Science from UCLA.

His main research focus is on the next generation Internet architecture as part of the Named Data Networking (NDN) project; and his research interests include a variety of topics that are vital for the success of NDN,including scalability of name-based routing, auto-configuration, distributed data synchronization, application and network security.

He is also leading the development effort of the overall NDN codebase. His particular interest right now is application of Information-Centric Networking (ICN) to Internet-of-Things (IoT), specifically realizing the vision of IoT where applications securely communicate with and about “things” without being concerned about specific details of the devices/controllers that represent things.

Full Bio

Title: Named Data Networking of Things

The Internet of Things (IoT) is a vision for interconnecting all of the world's "things"---from vehicles to diet scales, smart homes and electrical grids---through a common set of networking technologies. Realizing this vision using a host-to-host communication paradigm, such as that of the Internet Protocol (IP), is challenging in the context of highly heterogeneous, constrained devices that connect intermittently to one or more networks, often using multiple interfaces; communicate within various security regimes; and require both local and global communication capability. Using IP and similar protocols as the narrow waist of interoperability for IoT requires managing data exchange and security in terms that are largely orthogonal to application semantics, while simultaneously needing to minimize resource usage.

In this talk, I will first introduce the Named Data Networking (NDN) architecture proposal that makes information the centerpiece for communication and security. NDN retrieves data chunks using application-defined names, and each chunk carries a crypto signature that binds the name to its content; inherently addressing the root causes of the IoT challenges providing a way to achieve the IoT vision in a more secure, straightforward, and innovation-friendly manner. NDN's data-centric communication model aligns the network and application semantics, enabling developers to work with ``things'' and their data directly, and for IoT networks to be deployed and configured easily. Moreover, NDN enables straightforward and robust implementation of security and rendezvous functions, the core of for IoT networks, without strict dependency in cloud connectivity.