Communications of the ACM
tsa Professor Wins $450,000 Nsf Grant to Develop Artificial Intelligence That Can Detect Computer System Faults
A professor at the University of Texas at San Antonio has received $450,000 from the U.S. National Science Foundation to develop a hardware-based system for detecting software bugs and computer security attacks.
Credit: UTSA Today
University of Texas at San Antonio professor Abdullah Muzahid has received a $450,000 award from the U.S. National Science Foundation to develop a hardware-based artificial intelligence system for detecting software bugs and security attacks in computer systems.
Muzahid and his team will develop an artificial neural network called NFrame that can detect, avoid, and expose the root causes of system faults, bugs, and attacks.
"Not only is our approach the first to use neural network hardware in this way, but its processes will give new insights into the causes and manifestations of bugs, security flaws, and computer system faults," Muzahid says.
He notes NFrame will monitor correlated code, data, and program instructions to learn the "acceptable" or normal behaviors of the software running on its system.
In addition, Muzahid says NFrame could tell users why a specific program keeps crashing, identify a security flaw in a program, and report precisely how it is compromised.
From UTSA Today
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