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UNSW researchers have raised $1.3 million in a deal from IP Group, to fund a spin-out business based on their technology that protects Internet of Things (IoT) devices from cybercrime.

Dr Hassan Habibi and his research team from UNSW鈥檚 School of Electrical Engineering and Telecommunications founded CyAmast in May 2020, to commercialise their software that protects large networks of IoT devices from cyber-attacks in a scalable, cost-effective way.

IP Group鈥檚 Managing Director in Australia, Michael Molinari, whose firm invests globally in world-leading technology from its partner universities, says the UNSW innovation is ground-breaking.

鈥淭he use of IoT devices and sensors is growing exponentially, and as organisations鈥 networks expand, it鈥檚 increasingly difficult to track these assets and secure them. Dr Habibi and his team have developed technology that enables operators of smart environments 鈥 like enterprise campuses, commercial buildings, industrial facilities and airports - to rapidly identify every IoT device connected to their network and continuously monitor each one and ensure that it鈥檚 functioning normally,鈥 says Mr Molinari.

CyAmast software continuously monitors network traffic and intelligently detects deviations from intended IoT behaviours.

Dr Habibi says CyAmast鈥檚 solution is far more flexible, scalable and cost-effective than traditional approaches to determining attacks on IoT systems, which inspect individual "packets" of data to determine threat signatures and then blacklist them.

鈥淭raditional methods of detecting malicious traffic are bundled, static, and inflexible, and thus do not suffice for the growing diversity of attacks on increasing numbers of insecure IoT devices,鈥 Dr Habibi says.

鈥淭hese attack-signature-based solutions are increasingly being defeated as they can鈥檛 keep up with the increasing percentage of network traffic that鈥檚 encrypted and therefore can鈥檛 be opened and inspected. They also have poor resilience to morphed attacks that can render known signatures useless. Inspecting individual packets can also be prohibitively expensive,鈥 Dr Habibi says.

鈥淥ur technology develops a model of expected behaviours for each device, based on the manufacturer鈥檚 specifications. The model is enriched with our patented, real-time artificial intelligence-based algorithms, to check data flows against expected behaviours.鈥

Using CyAmast solutions, customers can identify, detect, and classify all IoT devices on their network, profile and model their behaviour, and detect and quarantine any deviation from what鈥檚 expected.

鈥淭his all happens at 100s of Gbps (billions of bits per second) without the dependence of highly customised and expensive infrastructure,鈥 Dr Habibi says.

UNSW鈥檚 acting聽Deputy Vice-Chancellor of Enterprise, Professor聽Eliathamby聽Ambikairajah, says CyAmast is a remarkable example of university researchers focussing on translation of innovative research in areas that have the greatest potential to benefit society.

鈥淐yAmast is an industry-changing business that will transform the way individuals and organisations around the world protect the growing number of IoT devices that intelligently assist our everyday life,鈥 he says.

This is the second time IP Group has invested in a spin-out from UNSW鈥檚 School of Electrical Engineering and Telecommunications, having invested in in a separate deal in December 2018.