Jayanthi Ramamoorthy is a cybersecurity researcher and educator specializing in malware detection, reverse engineering, and forensic analysis. She is a Ph.D. candidate in Digital Forensics and Cybersecurity at Sam Houston State University and has published extensively on APT malware, system call analysis, and anomaly-based threat detection. Her research focuses on automated malware analysis,machine learning for malware classification, and ELF binary analysis.
Previously, she served as a Security Engineer on Amazon's Threat Detection team, where she contributed to Linux malware detection and telemetry optimization. She also worked as an AWS Cloud Security Architect, designing secure cloud infrastructures for NASA and federal agencies.
As an Assistant Professor of Practice at Sam Houston State University, she has taught Windows Malware Analysis, Computer Networking, and Computer Architecture Undergraduate courses.
Her research contributions include publications in IEEE, Electronics, and CSNet, on analysis and detection techniques for evolving Linux threats.
Research Interests
- Malware & Exploit Detection, Reverse Engineering and ELF Binary Analysis
- Network and Operating System Forensics
- Anomaly Detection, Machine Learning
- Cloud Security
Publications
- Beyond TTPs: Syscall Analysis of Linux Malware used in Advanced Persistent Threats (Submitted to Annals of Telecommunication)
- Automated Static Analysis of Linux ELF Malware: Framework and Application (Submitted to Security & Reliability IEEE journal)
- Packers and Features: Efficacy of Static Analysis for Packed Linux Malware (Accepted for Oral Presentation, April 2025)
- APT Warfare: Technical Arsenal and Target Profiles of Linux Malware in Advanced Persistent Threats (CSNet 2024)
- Linux IoT Malware Variant Classification Using Binary Lifting and Opcode Entropy (Electronics, 2024)
- A Novel Static Analysis Approach Using System Calls for Linux IoT Malware Detection (Electronics, 2024)
- Ethical Hacking in Digital Forensics (IEEE International Conference on Big Data, 2023)
- Anomaly-Based Malware Threat Detection on Linux Systems (IEEE TrustCom, 2023)
- Detection and Classification of Web Application Attacks (IEA/AIE 2023)
Grants
- Workplace Harassment and Violence: A Primer on Critical Strategies for Small and Medium-Sized Businesses
Funded by HIS Homeland Security, June 2023
Professional Experience
- Security Engineer, Amazon Threat Detection Team (Mar 2022 – Jun 2023)
- Cloud Consultant & Architect, AWS (Feb 2021 – Mar 2022)
- Assistant Professor of Practice, Sam Houston State University (Sep 2023 – Jun 2024)
- Principal Architect – Cloud Security, United Airlines (May 2007 – Apr 2020)
- Software Developer, FSV Payment Systems (May 2006 – Dec 2006)
- Developer, ViewPointe Archives LLC (Sep 2005 – May 2006)
- Programmer Analyst, Hewitt Associates (May 2004 – Sep 2005)
- Sr. Software Engineer, MCI WorldCom (Verizon) (Jul 1997 – Dec 2003)
- Module Lead & Developer, Singapore Telecom, Singapore (Aug 1995 – Oct 1996)
Education & Certifications
- Ph.D. Candidate, Digital Forensics and Cybersecurity (Expected 2025), Sam Houston State University
- M.S. Information Security and Assurance, Sam Houston State University
- Bachelor of Science, Post Graduate Systems Management and Computer Applications, Bangalore University
- AWS Certified Solutions Architect – Associate
- AWS Certified Security – Specialty