Curriculum Vitae (CV)


I am a PhD student at Georgia Tech in the ECE department. I am interested in using data mining and data analytic techniques to augment system and network artifacts for security applications. I am researching and measuring home-based smart device security through systematic evaluation. I am also working on understanding malware threats that target these devices through system and network analysis.



  1. R. Duan, A. Bijlani, Y. Ji, O. Alrawi, Y. Xiong, M. Ike, B. Saltaformaggio, W. Lee; Automating Patching of Vulnerable Open-Source Software Versions in Application Binaries, to appear in NDSS, Feb 2019
  2. Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose; SoK: Security Evaluation of Home-Based IoT Deployments, To appear in IEEE S&P, May 2019. (slides)
  3. Omar Alrawi, Aziz Mohaisen; Chains of Distrust: Towards Understanding Certificates Used for Signing Malicious Applications, WWW 2016 Companion, April 2016.
  4. Aziz Mohaisen, Omar Alrawi; Behavior-based Automated Malware Analysis and Classification, Elsevier Computers & Security, 2015.
  5. A Mohaisen, AG West, A Mankin, O Alrawi; Chatter: Classifying Malware Families Using System Event Ordering. IEEE CNS 2014.
  6. Aziz Mohaisen, Omar Alrawi; AMAL: High-Fidelity, Behavior-based Automated Malware Analysis and Classification. WISA 2014. Best Paper.
  7. Aziz Mohaisen, Omar Alrawi,; AV-Meter: An Evaluation of Antivirus Scans and Labels. DIMVA 2014.
  8. Aziz Mohaisen, Omar Alrawi, Andrew G. West, and Allison Mankin; Babble: Identifying Malware by Its Dialects. IEEE CNS 2013.
  9. Aziz Mohaisen, Omar Alrawi, Matt Larson, and Danny McPherson; Towards A Methodical Evaluation of Antivirus Scans and Labels. WISA 2013.
  10. Aziz Mohaisen, Omar Alrawi; Unveiling Zeus Automated Classification of Malware Samples. WWW Workshops 2013.