Dr. Hamid R. Ghaeini
CISPA - Helmholtz Center for Information Security, Saarbrücken, Germany
Title: Anomaly Detection in Control Processes
Abstract: Anomaly detection is an umbrella term for the techniques that identifies changes in the data that significantly differ from the majority of the data. Anomaly detection was widely used to detect the unwanted changes over cyber and physical behavior of the industrial control systems. In this talk, we will discuss the practical implementation of stealthy attacks on industrial control systems. We start by reviewing the attacks proposed in prior works. Then, we will present Zero-Residual Attacks, which allow the attacker to launch stealthy attacks leveraging estimation of the stateful anomaly detector and matching of residuals as a fraction of actual estimate residual. Then, we propose to use a Stateful Detector (SD) as an anomaly detection counter-measure to precisely detect such stealthy attacks
Assoc.Prof. Cai Kui
Singapore University of Technology and Design (SUTD), Singapore
Title: Information Coding and Error Correction for DNA-Based Big Data Storage
Abstract: The amount of digital data produced by humanity is forecast to be over 44 zettabytes in 2020 and will be kept growing exponentially “Big”. All these data are required to be stored and recovered reliably and efficiently. The DNA-based data storage technology, which stores digital data using the synthetic DNA, has emerged as a promising candidate for the storage of Big Data. Compared to the conventional magnetic or optical recording systems, it features competing advantages of extremely high data storage density (e.g. 1 exabytes/mm3), long lasting stability of hundreds to a thousand year, and ultra-low power consumption for operation and maintenance. However, the reliability of data stored in DNA is corrupted by the substitution, insertion, and deletion errors simultaneously. The entire DNA strand can be lost during DNA synthesis, storage, and sequencing. All the DNA strands synthesized are simply mixed together in a pool, which creates much difficulty for addressing and random accessing the stored data.
