Tightening Cloud Computing Security
Imagine sharing a backyard with your neighbor. Security concerns would abound, from unwanted visitors to missing tools and unruly pets.
Sheng Wei, assistant professor of computer science and engineering, said the perils of a shared backyard illustrate potential security challenges of a high-speed computing platform: the CPU-FPGA hybrid, an architecture that boosts cloud computing’s speed.
He’s tightening security with a $496,940 Faculty Early Career Development Program award, the National Science Foundation’s prestigious award for outstanding pre-tenure faculty.
In CPU-FPGA systems, the computer’s brain – its CPU – is placed alongside a field-programmable gate array – the FPGA – a customizable hardware chip. Together, these “neighbors” accelerate performance, with the CPU outsourcing tasks to the FPGA.
But this communication creates a vulnerable “shared yard” that attackers can exploit, wreaking havoc on cloud computing applications such as medical image processing and scientific computing.
To stymie attacks, Wei is building a hardware “fence” that physically separates CPU-FPGA components into secure and nonsecure domains. A secure agent embedded in the secure domain thwarts malicious communications between the domains.
He’s also developing a programming tool that automatically slices secure versus nonsecure information, easing the burden for developers. It’s the first of its kind for a CPU-FPGA system.
To test his technologies, Wei partners with Adobe Research, Visa Research and Nebraska’s Holland Computing Center.
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Wei's CAREER project to bridge speed, security of cloud computing