Singapore Cybersecurity Consortium

Seed Grant

In June 2017, a seed grant call was launched to invite proposals from consortium members for proof-of-concepts of new cybersecurity technologies and innovative ideas. Six projects were awarded based on their technical merits and potential for commercialisation.

Details of Awarded Projects


An integrated safety-security approach for engineering Unmanned Aerial Systems (UAS) traffic management solutions

This project aims to develop an integrated safety-security approach for Unmanned Aerial Systems (UAS) traffic management (UTM) systems, through a safety-security co-analysis and risk assessment framework. It will establish best-practice and safety-and-security-by-design guidelines for this approach.

This project is a collaboration between Advanced Digital Sciences Center , a Singapore-based research centre that is an affiliate of the University of Illinois at Urbana-Champaign, Singapore-based company Nova Systems & Engineering , Canada’s Critical System Labs Inc, University of Illinois at Urbana-Champaign, and Singapore-based company NSHC Pte Ltd.

Identification of IoT devices behind NAT while ensuring the preservation of data privacy

This project aims to develop a method to passively map out Internet of Things (IoT) devices in users’ premises while preserving privacy. This will help build a security layer between IoT devices and telecommunications infrastructure to monitor and detect potentially malicious traffic.

This project is a collaboration between Singapore-based company Custodio Technologies Pte Ltd , Singapore University of Technology and Design and StarHub .

Learning to detect anomalies in cyber-physical systems with generative adversarial networks on networked sensor time series data

This project aims to develop a machine learning approach using generative adversarial networks. It will simultaneously train a deep learning network to model normal behaviour in a cyber-physical system, while also detect anomalies due to cyber attacks in the networked sensor time series. It will be evaluated using a realistic complex cyber-physical system dataset from the Secure Water Treatment Testbed.

This project is a collaboration between Singapore-based company ST Electronics (Info-Security) and the National University of Singapore .

Mobile (iOS) security study for cyber-attack prevention

This project aims to build an assessment framework for iOS malware, which is less studied than Android malware. The framework aggregates iOS malware into a database and performs a suite of analysis and classification techniques to derive a risk score, and hence recommend actions to fix or mitigate the malware impact.

This project is a collaboration between PayPal and Nanyang Technological University .

No more snake oil - Objective evaluation environment for security technologies

This project aims to develop a proof-of-concept testing environment for security technologies, which could also serve as a demonstration platform for solution developers. It will include simulation of various network-based attack scenarios and techniques, and an automatic scoring or measurement framework. It will be validated through applications on Singapore-based start-up InsiderSecurity’s technologies.

This project is a collaboration between Singapore-based start-up InsiderSecurity, the National Cybersecurity R&D Laboratory , and the National University of Singapore .

Secure dataset sharing for remote artificial intelligence innovations on clinical data

This project aims to develop a platform for secure sharing and consumption of research data, with automatic data sensitisation, centralised access control, cryptographic key exchange, and a client application to execute user codes on the data. It will be built on Singapore-based start-up Cloak’s existing platform and tested with clinical data from the Agency for Science, Technology and Research (A*STAR) Bioinformatics Institute’s partner hospitals.

This project is a collaboration between Singapore-based start-up Cloak Pte Ltd and A*STAR Bioinformatics Institute .

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