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Hardware Accelerators for Dynamic Malware Detection Methods for Mobile – Muhammad Abdul WAHAB, PhD Student @SCEE\IETR, CentraleSupélec Campus de Rennes.
17 May 2018 @ 15 h 30 min - 17 h 00 min
The number of smart and connected mobile devices is increasing every year. In 2017, 20 billion connected devices were used and it is expected to rise up to 75 billion devices in 2025. With increased number and volume of smart devices, the interest of attackers to abuse them is rising, making their security one of the main challenges. The main mean that the attackers use in order to abuse mobile devices is malicious software, shortly called malware. The two common ways of protecting against malware are static analysis and dynamic analysis. While static analysis can only detect known attacks, dynamic analysis requires computational resources that are beyond suitable for battery-operated mobile devices. We propose a solution that takes advantage of FPGAs embedded in SoCs to provide energy-efficient computation for dynamic analysis making it adoptable for smart devices. Our proposed solution can also accelerate the dynamic analysis thanks to hardware accelerators generated using High Level Synthesis tools.