Keynote Speakers
Keynote Speaker I
Dr. David Taniar
Monash University, Melbourne, Australia
Title: Contract Tracing during Covid-19 Pandemic: An Australian Experience Synopsis
Abstract
Contact Tracing is the activity of retrieving historical activities and trips for a person where his presence at a specific location might affect other persons within a certain radius. In related to a contagious disease, an infected person might spread the pathogens to the nearby people during close contact that can trigger a chain reaction of community transmission. The biggest problem in obtaining the historical activities in a contact tracing procedure is privacy and security issues. The privacy issue refers to private-related sensitive information that is not meant to be shared with anyone. However, during a contact tracing investigation, the authorities have the right to know every detail from a suspected patient. The security issue refers to the safety of the shared private information to the authority. Due to these issues, many patients are reluctant to share their past activities to the authority. This condition makes it even harder to obtain the right information from the patients. The next consequence is that the spreading of the diseases will be off the radar since contact tracing could not be done correctly. Several methods have been proposed to help contact tracing procedures. In general, there are two types of contact tracing methods, proximity-based and trajectory-based. While the proximity-based method lacks historical trips and suffers from multi-platforms communication issues, trajectory-based suffers from privacy issues. This speech will discuss these methods together with their pros and cons. In conclusion, a method that can preserve privacy and retain the details of the trip will also be explained in this session as an alternative method to support contact tracing.
Biography
David Taniar received his MSc and PhD in Computer Science, from Swinburne University of Technology and Victoria University, respectively. His research is in the area of Big Data Management, covering the 3Vs of Big Data (Volume, Variety, and Velocity). In Big Data Volume, he works on parallel databases, in which he has published a book in this topic (High Performance Parallel Database Processing, Wiley 2008). In Big Data Variety, he works on various data structures for data warehousing, especially for non-relational data. And in Big Data Velocity, he works on IoT data processing, where he has completed IoT projects for manufacturing, railway, environment and ecology, utility, and healthcare. He has published more than 150 journal papers in various areas of data management. He is the Founding Editor-in-Chief of two SCI-E journals (Data Warehousing and Mining, and Web and Grid Services). He is currently an Associate Professor at Monash University, Australia.
Keynote Speaker II
Dr. Juggapong Natwichai
Chiang Mai University, Thailand
Title: Privacy Violation from Joint Attacks on Incremental Datasets
Abstract
Data are continuously collected and grown, therefore the privacy protection mechanisms designed for static data might not be able to cope with this situation effectively. In this talk, I will first present the possible privacy violations, attacks, which could occur, including a newly discovered type of violation, and Joint Attack. After the attacks are formulated, then the characteristics of the privacy attacks are extracted in order to find approaches to preserve the privacy efficiently. Lastly, the preliminary experiment results will be presented.