IEEE International Conference on Communications
20-24 May 2019 // Shanghai, China
Empowering Intelligent Communications


2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE: WORKSHOPS: IEEE WORKSHOP ON SecSDN: Secure & Dependable Software Defined Networking for Sustainable Smart Communities


Friday, May 24

09:00 10:00 am: WS19-SecSDN-KeyNote 1 (3C): Secure Networking for the Internet of Things by Dr. Biplab Sikdar, National University of Singapore

10:00 10:30 am: WS19-SecSDN-S1 SecSDN-Software Defined Networking and Virtual Network Function (3C): Hot Topic Paper

10:30 11:00 am: Networking Break

11:00-12:30 pm: WS19-SecSDN-S1 SecSDN-Software Defined Networking and Virtual Network Function (3C)

12:30-14:00 pm: Lunch Break

14:00-14:45 pm: WS19-SecSDN-KeyNote 1 (3C): Secure Automated Valet Parking: A Privacy-Preserving Reservation Scheme for Autonomous Vehicles by Dr. Rongxing Lu, University of New Brunswick, Canada

14:45-15:30 pm: WS19-SecSDN-S2 SecSDN-Futuristic Network Technologies (3C)

15:30-16:00 pm: Networking Break

16:00-17:30 pm: WS19-SecSDN-S3 SecSDN-Blockchain and Cryptocurrency (3C)




FRIDAY, MAY 24 9:00 - 10:00 am

KEYNOTE 1: Secure Networking for the Internet of Things by Dr. Biplab Sikdar, National University of Singapore


FRIDAY, MAY 24 10:00 - 10:30 am

Hot Topic Paper: D2M: Mobility-Aware Dynamic Data Multicasting in Software-Defined Data Center Networks; Sudip Misra; Ayan Mondal; Pankaj Kumar


FRIDAY, MAY 24 10:30 - 11:00 pm 

Networking Break


FRIDAY, MAY 24 11:00 - 12:30 pm

TECHNICAL PAPERS: WS19-SecSDN-S1 SecSDN-Software Defined Networking and Virtual Network Function (3C)

Dynamic Embedding and Scheduling of Virtual Network Service for Future Networks; Haotong Cao; Yao Zhang; Longxiang Yang

Controller and Gateway Partition Placement in SDN-enabled Integrated Satellite-Terrestrial Network; Kongzhe Yang; Bangning Zhang; Daoxing Guo

Standardising the use of Duplex Channels in 5G-WiFi Networking for Ambient Assisted Living; Sudeep Tanwar; Shriya Kaneriya; Jayneel Vora; Sudhanshu Tyagi

Cognitive Smart Plugs for Signature Identification of Residential Home Appliance Load using Machine Learning: from Theory to Practice; Artur Veloso; Regenildo Oliveira; Antônio Rodrigues; Ricardo Rabelo; Joel J. P. C. Rodrigues


FRIDAY, MAY 24 14:00 - 14:45 pm

KEYNOTE 2: Secure Automated Valet Parking: A Privacy-Preserving Reservation Scheme for Autonomous Vehicles by Dr. Rongxing Lu, University of New Brunswick, Canada


FRIDAY, MAY 24 14:45 - 15:30 pm

TECHNICAL PAPERS: WS19-SecSDN-S2 SecSDN-Futuristic Network Technologies

Spectral Efficiency Maximization for Uplink Cell-Free Massive MIMO-NOMA Networks; Yao Zhang; Haotong Cao; Meng Zhou; Longxiang Yang

A Study of Irregular Repetition Slotted ALOHA over LEO Satellite Channel with Capture Effect; Zhicheng Qu; Haotong Cao; Gengxin Zhang

An IoT-based Water Monitoring System for Smart Buildings; Heitor de Paula; João Bernardo; Luis Affonso; Ricardo Rabelo; Joel J. P. C. Rodrigues


FRIDAY, MAY 24 16:00 - 17:30 am

TECHNICAL PAPERS: WS19-SecSDN-S3 SecSDN-Blockchain and Cryptocurrency

Performance Analysis of DAG-based Cryptocurrency; Seongjoon Park; Seounghwan Oh; Hwangnam Kim

BlockCom: A Blockchain based Commerce Model for Smart Communities using Auction Mechanism; Vikas Hassija; Gaurang Bansal; Vinay Chamola; Vikas Saxena; Biplab Sikdar

Prototype Design and Test of Blockchain Radio Access Network; Yuwei Le; Xintong Ling; Jiaheng Wang; Zhi Ding

Mitigating Routing Misbehavior Using Blockchain-based Distributed Reputation Management System for IoT Networks; Min Li; Helen Tang; Xianbin Wang

SmartChain: A Smart and Scalable Blockchain Consortium for Smart Grid Systems; Gaurang Bansal; Amit Dua; Gagangeet Singh Aujla; Maninderpal Singh; Neeraj Kumar




Distinguished Keynote Speaker: 

Biplal Sikdar, Associate Professor                                                                    

Department of ECE, 4 Engineering Drive 3
National University of Singapore , Singapore 117583




Biography of Speaker: 

Biplab Sikdar is an Associate Professor in the Department of Electrical and Computer Engineering of National University of Singapore, Singapore. His research interests are primarily in the area of Internet of Thing (IoT) and cyber-physical systems, with particular emphasis on cyber-security and privacy issues. His current research focus is on developing light-weight security protocols for IoT devices, techniques for detecting and preventing attacks on smart grids and transportation systems, and security protocols based on hardware security primitives. At the National University of Singapore (NUS), he leads the security research on IoT and cyber-physical systems at the NUS-Singtel corporate research laboratory. Dr. Sikdar has published more than 200 papers and is the recipient of a CAREER award from the National Science Foundation, USA, the Tan Chin Tuan fellowship from the Nanyang Technological University, the Japan Society for Promotion of Sciences fellowship, and the Leiv Eiriksson fellowship from the Research Council of Norway. Dr. Sikdar is a member of Eta Kappa Nu and Tau Beta Pi. He received the B.Tech. degree in electronics and communication engineering from North Eastern Hill University, Shillong, India, in 1996, the M.Tech. degree in electrical engineering from the Indian Institute of Technology, Kanpur, India, in 1998, and the Ph.D. degree in electrical engineering from the Rensselaer Polytechnic Institute, Troy, NY, USA, in 2001. He is a member of ACM and IEEE and has been involved in the organization of many conferences and served on the editorial board of IEEE Transactions on Communications and IEEE Transactions on Mobile Computing.

Title: Secure Networking for the Internet of Things

Abstract: The Internet of Things (IoT) represents a paradigm shift in the connectivity between people, information, and things, and is envisioned as the enabling technology for a wide range of application domains focused on developing smart communities and environments. This diversity, increased control and interaction of devices, and the fact that IoT systems use public networks to transfer large amounts of data make them a prime target for cyber attacks. IoT security and human safety are often tied to each other, and security breaches can lead to loss of service, damage to equipment, economic losses, and even loss of human lives. IoT devices are usually small, low cost and have limited resources, which makes them vulnerable to a wide range of physical, side-channel, and cloning attacks. This talk will present an overview of the security challenges associated with IoT networks and highlight some methods to address these challenges. The talk will also present a discussion on open research issues in this area. 



Distinguished Keynote Speaker: 

Rongxing Lu, Assistant Professor

Faculty of Computer Science, University of New Brunswick
Fredericton, NB, Canada E3B 5A3




Biography of Speaker:

Rongxing Lu (S’99-M’11-SM’15) has been an assistant professor at the Faculty of Computer Science (FCS), University of New Brunswick (UNB), Canada, since August 2016. Before that, he worked as an assistant professor at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore from April 2013 to August 2016. Rongxing Lu worked as a Postdoctoral Fellow at the University of Waterloo from May 2012 to April 2013. He was awarded the most prestigious “Governor General’s Gold Medal”, when he received his PhD degree from the Department of Electrical & Computer Engineering, University of Waterloo, Canada, in 2012; and won the 8th IEEE Communications Society (ComSoc) Asia Pacific (AP) Outstanding Young Researcher Award, in 2013. He is presently a senior member of IEEE Communications Society. His research interests include applied cryptography, privacy enhancing technologies, and IoT-Big Data security and privacy. He has published extensively in his areas of expertise (with citation >15,000 and H-index 61 from Google Scholar as of May 2019), and was the recipient of 8 best (student) paper awards from some reputable journals and conferences. Currently, Dr. Lu currently serves as the Vice-Chair (Publication) of IEEE ComSoc CIS-TC (Communications and Information Security Technical Committee). Dr. Lu is the Winner of 2016-17 Excellence in Teaching Award, FCS, UNB.

Title: Secure Automated Valet Parking: A Privacy-Preserving Reservation Scheme for Autonomous Vehicles

Abstract: It is believed that automated valet parking (AVP) system has great potential to mitigate the parking headache for the future smart city, as it can provide on-demand parking services, bringing immense benefits from energy saving for vehicles to time saving for drivers. For an AVP system, parking reservation is an indispensable part so that vehicles can accomplish automated parking in accordance with the reserved parking information. However, the reservation requests may not only reveal the driver identity but also disclose his/her sensitive locations, e.g., the most visited places, which are of great concerns to users. To deal with this challenge, the anonymous techniques can be naturally applied during parking reservation, but directly applying the anonymous techniques in AVP will introduce a new security issue, i.e., the anonymous user may maliciously crash the AVP system by repetitively sending the reservation requests, which is called “Double-Reservation Attack”. In this work, we propose a new privacy-preserving reservation scheme for securing AVP system. Specifically, each anonymous user must have only one valid reservation token at any moment, and the token can only be used for booking one vacant parking space once. The proposed scheme does not only preserve the user’s identity privacy and location privacy but also prevents the “Double-Reservation Attack” based on several elegant building blocks, i.e., zero-knowledge proofs of knowledge and proxy re-signature. Detailed security analysis confirms the security properties of our proposed scheme. In addition, extensive simulations are conducted to compare our proposed scheme with three previous schemes, and the experiment results demonstrate that our scheme is also much efficient in a WiFi-based testbed.


Innovation Exhibitors