The Malaysian Government is looking for ways to predict cyber security attacks using digital crime evidence.

CyberSecurity Malaysia and Universiti Teknologi Malaysia (UTM) signed an agreement to “invent and develop big data analysis technology and expertise”, a statement said.

“The first phase is looking at the existing data and from that we can try to make models. If the models work nicely and can predict successfully, then we can look at how to use them,” Professor Shamsul Sahibuddin, Dean, Advanced Informatics School, UTM told GovInsider.

Existing tools cannot handle the big data data needed for such analysis. “What we’re looking at is a huge amount of data. We cannot use normal practices in trying to identify patterns and need separate data analytics tools,” he said.

The project will build a new “Integrated Cyber Evidence infrastructure” to securely store and access the digital forensics data. It will also look at improving computing processes to better visualise the data.

A new Satellite Lab for Big Data and Digital Forensic will be set up at the university to train officials and graduate students, and for research. CyberSecurity Malaysia is funding the lab and training with RM2.28 million (US$551,917).