Bio
Counter-AI researcher specializing in functionality-preserving perturbation of binary files.
Education
PhD, Data Science and Engineering, UTK, 4.0 GPA
B.A., Mathematics with minors in Computer Science and Analytics, Maryville College, 4.0 GPA
A.S., General Studies, Pellissippi State Community College, 4.0 GPA
Trademarks and Patents
Patent title: Adaptive Malware Binary Rewriting
Patent number: 12019746
Abstract: An adaptive malware writing system includes a targeting engine that classifies malware candidates as a malicious candidate or a benign candidate through a surrogate model. The surrogate model assigns a weight to each byte of the malware candidates through a saliency vector. The sum of the weights render a malware classification score. An alteration engine alters a binary form of the malware candidates classified as malware by executing a functional analysis that traces application program interface calls and memory. The alteration engine alters the binary form of the malware candidates classified as malware to render a synthesized malware. The malware analysis determines if the synthesized malware is operational by comparing an image of the synthesized malware to an image of at least one of the plurality of malware candidates. A target classifier engine identifies the vulnerabilities of a targeted computer.