Curriculum Vitae (CV)

About (Google Scholar, Twitter, LinkedIn)

I am an ECE Ph.D. student candidate at Georgia Tech advised by Dr. Antonakakis. I work on the security of home-based IoT devices, mobile apps, cloud backends, and network security using active and passive techniques. Additionally, I am investigating malware threats affecting IoT, mobile apps, and cloud backends.

Education

Honors & Awards

Publication

  1. Omar Alrawi*, Athanasios Avgetidis*, Kevin Valakuzhy, Charles Lever, Paul Burbage, Angelos Keromytis, Fabian Monrose, Manos Antonakakis; Beyond The Gates: An Empirical Analysis of HTTP-Managed Password Stealers and Operators, to appear in USENIX Security, August 2023. (Acceptance rate: ??).

  2. Omar Alrawi, Charles Lever, Kevin Valakuzhy, Ryan Court, Kevin Snow, Fabian Monrose, Manos Antonakakis; The Circle Of Life: A Large-Scale Study of The IoT Malware Lifecycle, USENIX Security, August 2021. (Acceptance rate 18.8%).
  3. Omar Alrawi*, Moses Ike*, Matthew Pruett, Ranjita Pai Kasturi, Srimanta Barua, Taleb Hirani, Brennan Hill, Brendan Saltaformaggio; Forecasting Malware Capabilities From Cyber Attack Memory Images, USENIX Security, August 2021. (Acceptance rate 18.8%).
  4. R. Duan, O. Alrawi, R. P Kasturi, R. Elder, B. Saltaformaggio, W. Lee. Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages, NDSS 2021. (Acceptance rate 15.2%).

  5. R. Perdisci, T. Papastergiu, O. Alrawi, M. Antonakakis. IoTFinder: Efficient Large-Scale Identification of IoT Devices via Passive DNS Traffic Analysis, EuroS&P, Septmber 2020. (Acceptance rate 14.6%).
  6. R. P Kasturi, Y. Sun, R. Duan, O. Alrawi, E. Asdar, V. Zhu, Y. Kwon, B. Saltaformaggio; TARDIS: Rolling Back The Clock On CMS-Targeting Cyber Attacks, IEEE S&P (Oakland), May 2020. (Acceptance rate 12.3%).

  7. Omar Alrawi*, Chaoshun Zuo*, Ruian Duan, Ranjita Kasturi, Zhiqiang Lin, Brendan Saltaformaggio; The Betrayal At Cloud City: An Empirical Analysis Of Cloud-Based Mobile Backends, USENIX Security, August 2019. (Acceptance rate 16.2%).
  8. Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose; SoK: Security Evaluation of Home-Based IoT Deployments, IEEE S&P (Oakland), May 2019. (Acceptance rate 12.4%).
  9. 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, NDSS, Feb 2019. (Acceptance rate 17.1%).

  10. Omar Alrawi, Aziz Mohaisen; Chains of Distrust: Towards Understanding Certificates Used for Signing Malicious Applications, WWW 2016 Companion, April 2016.
  11. Aziz Mohaisen, Omar Alrawi; Behavior-based Automated Malware Analysis and Classification, Elsevier Computers & Security, 2015.

  12. A Mohaisen, AG West, A Mankin, O Alrawi; Chatter: Classifying Malware Families Using System Event Ordering. IEEE CNS 2014.

  13. Aziz Mohaisen, Omar Alrawi; AMAL: High-Fidelity, Behavior-based Automated Malware Analysis and Classification. WISA 2014. Best Paper Award.

  14. Aziz Mohaisen, Omar Alrawi,; AV-Meter: An Evaluation of Antivirus Scans and Labels. DIMVA 2014. (Acceptance rate 23.3%).

  15. Aziz Mohaisen, Omar Alrawi, Andrew G. West, and Allison Mankin; Babble: Identifying Malware by Its Dialects. IEEE CNS 2013.

  16. Aziz Mohaisen, Omar Alrawi, Matt Larson, and Danny McPherson; Towards A Methodical Evaluation of Antivirus Scans and Labels. WISA 2013.

  17. Aziz Mohaisen, Omar Alrawi; Unveiling Zeus Automated Classification of Malware Samples. WWW Workshops 2013.

Patents

SKILLS