Summer Mentorship, NSF AI Edge, The Ohio State University, 2022
Mentored an undergraduate in reverse engineering techniques, including static and dynamic analysis of compiled binaries. As a capstone project, we analyzed an open-source Unity game from GitHub and developed a custom cheat using Cheat Engine to demonstrate memory manipulation and runtime behavior analysis.
Summer Mentorship, The Ohio State University, 2025
Mentored a high school student in systematically constructing a cybersecurity dataset. The project focused on identifying and collecting metadata amplification patterns in widely used open-source libraries, highlighting potential vectors for DDoS attacks. Emphasis was placed on problem-driven dataset design and data integrity.
Published in 2018 International Conference on Innovation in Engineering and Technology (ICIET), 2018
Gaussian Process Regression (GPR) is highly accurate for predicting online radio maps in fingerprinting-based localization, but its accuracy depends on the mean function used; this paper compares various Indoor Positioning Systems (IPS) with GPR mean functions and introduces two new neural network-based mean functions that outperform traditional ones.
Recommended citation: M. S. Anwar, F. Hossain, N. Mehajabin, M. Mamun-Or-Rashid and M. A. Razzaque, "A Comparative Study on Gaussian Process Regression-based Indoor Positioning Systems," 2018 International Conference on Innovation in Engineering and Technology (ICIET), Dhaka, Bangladesh, 2018, pp. 1-5, doi: 10.1109/CIET.2018.8660860. keywords: {Ground penetrating radar;Artificial neural networks;Predictive models;Gaussian processes;IP networks;Data models;Indoor Positioning System;Gaussian Process Regression;Neural Network;Fingerprinting},
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Published in Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, 2023
Rampant cheating in games drives developers to seek solutions, leading to the creation of CheatFighter, an automated system that extracts intelligence from cheat binaries to randomize data, effectively countering 80 out of 86 real-world cheats in under a minute for Android and Windows games.
Recommended citation: Md Sakib Anwar, Chaoshun Zuo, Carter Yagemann, and Zhiqiang Lin. 2023. Extracting Threat Intelligence From Cheat Binaries For Anti-Cheating. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 23). Association for Computing Machinery, New York, NY, USA, 17-31. https://doi.org/10.1145/3607199.3607211
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Published in 46th IEEE Symposium on Security and Privacy, 2025
Inductive constraint reasoning is proposed to evaluate nontermination in Go programs, revealing five new vulnerabilities in the Go standard library.
Recommended citation: M. S. Anwar, C. Yagemann and Z. Lin, "GoSonar: Detecting Logical Vulnerabilities in Memory Safe Language Using Inductive Constraint Reasoning," in 2025 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2025, pp. 43-43, doi: 10.1109/SP61157.2025.00043.
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Undergraduate Course, The Ohio State University, CSE, 2021
As a Teaching Assistant for CSE 1222: Introduction to C++ Programming, I enhanced students’ learning experiences by conducting interactive lab sessions, demonstrating coding techniques, and providing hands-on guidance through exercises and projects. Specifically, being online helping students create an environment that they can be productive in was essential.
Undergraduate Course, The Ohio State University, CSE, 2021
As a Teaching Assistant for CSE 1222: Introduction to C++ Programming, I enhanced students’ learning experiences by conducting interactive lab sessions, demonstrating coding techniques, and providing hands-on guidance through exercises and projects. I also managed a team of graders, ensuring timely and fair assessment of student work, and assisted in grading exams.