Resilient AI-enabled Cybersecurity and Trustworthiness (ReACT) Lab
Resilient AI-enabled Cybersecurity and Trustworthiness (ReACT) Lab
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[I am looking for a self-motivated and passionate PhD student for joining our lab starting Fall 2025 to work in AI Security and/or Deepfake research, if you are interested please check out the prospective student tab!]
If you are currently enrolled in TNTech BS or MS programs, we encourage you to reach out. We always look for dedicated and self-motivated undergrad and grad students to work with us in exciting cybersecurity-AI research projects!
Director: Dr. Mir Mehedi Pritom
Director: Dr. Mir Mehedi Pritom
As the name suggests, at ReACT lab, we react to latest and emerging cyber threats and build novel methods to defend against such threats. Our primacy focus areas are on AI-enabled and data-driven cybersecurity that proactively safeguard online users, systems, and networks from emerging cyber threats/attacks by aiding in trustworthy decision-making.
Mission
Mission
To advance research and education in trustworthy AI-assisted cybersecurity by developing cutting-edge cyber defense solutions that enhances transparency, reliability, resiliency, and trustworthiness to tackle emerging cyber threats and safeguard users, systems and networks.
To advance research and education in trustworthy AI-assisted cybersecurity by developing cutting-edge cyber defense solutions that enhances transparency, reliability, resiliency, and trustworthiness to tackle emerging cyber threats and safeguard users, systems and networks.
Vision
Vision
To carry out innovative and cutting-edge research in AI for Security, Transparency of AI, and Security of AI that will create regional, national, and global impact and promote AI-enabled cybersecurity research excellence.
To carry out innovative and cutting-edge research in AI for Security, Transparency of AI, and Security of AI that will create regional, national, and global impact and promote AI-enabled cybersecurity research excellence.
Personnel
Personnel
PhD Students:
Maraz Mia [Spring 2024 - Present]
Research Topic: Characterizing Event-Themed Cyber Threats and Scam Campaigns Over the Web
Seyed Mohammad Sanjari [Fall 2024 - Present]
Research Topic: Trustworthy and Explainable LLM for Tackling Deceptive Social Engineering Attacks
Marlana Hatcher [Spring 2025 - Present]
Research Topic: Quantifying Trust of Trustworthy AI in Cyber Attack Detection
MS/Fast-Track Students:
Elijah Beatty [Spring 2025 - Present]
Looking for motivated MS students (Thesis or Project track) to work on Applied research in cybersecurity leveraging GenAI, LLMs, and/or XAI.
Past Members (Alumni)
Past Members (Alumni)
MS Students
MS Students
Md Ashfak Shibli [Graduated in Summer 2024]
Thesis: SMISHING (SMS PHISHING) ATTACKS AND DEFENSES: CURRENT CONCERNS, CAMPAIGN INFRASTRUCTURES, AND TOWARDS A SCORING-BASED DEFENSE SYSTEM
First Employment: Software Engineer at Athlete Den
Jacob Villemagne (Appalachian State University) [Graduated in Summer 2023]
Project Topic: Investigating War Themed Malicious Websites
First Employment: Defense Sector, Huntsville, AL
James Canterbury (Appalachian State University) [Fall 2022 - Spring 2023]
Undergraduate Students
Micheal Araque (Appalachian State University) [worked as undergrad RA during Spring 2023]
Research Area: Data-driven security & analytics
Current Projects
Current Projects
[1] Defense Against SMS Phishing Attacks
[2] LLMs for Extracting SMS Phishing Campaigns By Analyzing Individual Messages
[3] Characterizing Uncertain Event Themed Cyber Attacks/Threats
[4] Enhancing XAI Methods' Usability and Effectiveness in Diagnosing/Fixing Misclassifications in attack detection
[5] Usage of Effective and Resilient XAI for Trustworthy Cyber Decision-Making
[6] Raising Awareness Against Various Social Engineering Attacks Through Integrated AI-based and Gamified Course Modules
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