Abdul Raheem Beyah

Title: Innovations by Abdul Raheem Beyah

Introduction

Abdul Raheem Beyah is a prominent inventor based in Atlanta, GA. He has made significant contributions to the field of programmable logic controllers (PLCs) through his innovative patents. With a total of 5 patents, his work focuses on enhancing the security and functionality of PLC systems.

Latest Patents

One of his latest patents is a "System for detecting malicious programmable logic controller code." This invention provides a method for identifying malicious code segments within PLC programs. It utilizes a binary parser to break down the code into functional elements, which are then mapped into a high-level data structure. A fuzzer generates a behavioral model of this structure, and a classifier predicts the corresponding processes. The system also includes a detector that identifies unsafe states and generates alerts for detected issues.

Another notable patent is "Systems and methods for detecting anomalous software on a programmable logic controller." This method involves collecting scan cycle times during a training period to establish baseline parameters. It determines a baseline PLC program signature based on these parameters and stores it for future reference. This innovation aims to enhance the reliability and security of PLC operations.

Career Highlights

Abdul Raheem Beyah is affiliated with the Georgia Tech Research Corporation, where he continues to advance research in the field of programmable logic controllers. His work is instrumental in developing systems that improve the safety and efficiency of industrial automation.

Collaborations

He collaborates with talented individuals such as Cherita La'Quale Corbett and Qinchen Gu, contributing to a dynamic research environment that fosters innovation.

Conclusion

Abdul Raheem Beyah's contributions to the field of programmable logic controllers through his patents demonstrate his commitment to enhancing technology and security in industrial applications. His work continues to influence the landscape of automation and safety in engineering.