The Singapore Management University (SMU) will collaborate with Singapore's National Research Foundation (NRF) and Israel's Tel Aviv University's Blavatnik Interdisciplinary Cyber Research Centre (TAU-ICRC) on two cybersecurity research projects.
Launched in May 2016, the NRF-TAU programme supports joint research projects through an interdisciplinary approach, with an emphasis on cybersecurity for Smart Nation and Internet of Things, behavioural and social science approaches to cybersecurity, and policy and governance aspects of cybersecurity.
The first project will look at how to characterise the interdependency of cyber-attacks, and how to achieve a balance between openness and security when implementing international enforcement actions and sharing technology information to counter cyber-attacks.
The research team will model how cyber-attacks across regions are interdependent by linking them back to the underlying Internet topology. They will also quantify the relative effectiveness of domestic law versus international law in deterring cyber- attacks, and evaluate how the extent of information shared by cybersecurity emergency response agencies alleviates cybersecurity threats.
Led by Principal Investigator Assistant Professor Wang Qiuhong from SMU School of Information Systems (SMU SIS), the research team includes Professor Robert Deng and Assistant Professor Tang Qian from the same school, as well as Professor Yuval Shavitt and Mr Lior Tabansky from TAU.
"As international collaboration in technical and legal strategies are recognised as being central efforts to tackle globalised cybersecurity threats, this project will add to the knowledge base on cybersecurity interdependency, and the policy analytics about the legal measures and technology mitigations again cyber attacks," explained Assistant Professor Wang.
On the other hand, the second project will address safety and privacy of mobile applications for smart city.
The project will design a system that detects anomalous and potentially harmful behaviours in apps and create suitable alerts. By creating a model that captures the characteristics of an app's normal behaviour, it can help to detect violations during runtime, summarise the risk in an informative manner, and give users the opportunity to disallow or approve detected anomalies.
There will also be user interaction models for different users, such as power users, senior citizens and children.
The research team will be led by Principal Investigator Associate Professor David Lo from SMU SIS, and include Associate Professor Gao Debin from the same school, as well as senior lecturers Dr Shahar Maoz, Dr Eran Toch, and Dr Eran Tromer from TAU.
"This project addresses the need to empower users of various demographics to better protect themselves against cyber attacks and secure their private data and information," said Associate Professor Lo.
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