Effective fiber bandwidth utilization in TDM WDM optical networks

Ph.DDOCTOR OF PHILOSOPH

Active fuzzing for testing and securing cyber-physical systems

National Research Foundation (NRF) Singapore under its National Satellite of Excellence Programm

Enterprise Mobile Tracking and Reminder System: MAE

Mobile phones have made significant improvements from providing voice communications to advanced features such as camera, GPS, Wi-Fi, SMS, voice recognition, Internet surfing, and touch screen. This paper presents an enterprise mobile tracking and reminder system (MAE) that enables the elderly to have a better elder-care experience. The high-level architecture and major software algorithms especially the tracking in Android phones and SMS functions in server are described. The analysis of data captured and performance study of the server are discussed. In order to show the effectiveness of MAE, a pilot test was carried out with a retirement village in Singapore and the feedback from the elderly was evaluated. Generally, most comments received from the elderly were positive

Towards systematically deriving defence mechanisms from functional requirements of cyber-physical systems

The threats faced by cyber-physical systems (CPSs) in critical infrastructure have motivated the development of different attack detection mechanisms, such as those that monitor for violations of invariants, i.e. properties that always hold in normal operation. Given the complexity of CPSs, several existing approaches focus on deriving invariants automatically from data logs, but these can miss possible system behaviours if they are not represented in that data. Furthermore, resolving any design flaws identified in this process is costly, as the CPS is already built. In this position paper, we propose a systematic method for deriving invariants before a CPS is built by analysing its functional requirements. Our method, inspired by the axiomatic design methodology for systems, iteratively analyses dependencies in the design to construct equations and process graphs that model the invariant relationships between CPS components. As a preliminary study, we applied it to the design of a water treatment plant testbed, implementing checkers for two invariants by using decision trees, and finding that they could detect some examples of attacks on the testbed with high accuracy and without false positives. Finally, we explore how developing our method further could lead to more robust CPSs and reduced costs by identifying design weaknesses before systems are implemented.Comment: Accepted by the ACM Cyber-Physical System Security Workshop (CPSS 2020

Deriving invariant checkers for critical infrastructure using axiomatic design principles

National Research Foundation (NRF) Singapor

Open designettes, flowcharts, and pseudocodes in Python programming with the aid of Finch

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