Elias Bou-Harb

Associate Professor

Contact

ebouharb@lsu.edu
Office 3272Q
Patrick F. Taylor Hall

Educational Background

Postdoctoral Training in empirical cyber security, Carnegie Mellon ¾Å¾Å¸£ÀûÍø (CMU), USA.

Ph.D. in Computer Science, Concordia ¾Å¾Å¸£ÀûÍø, Canada.

MASc. in Information Systems Security, Concordia ¾Å¾Å¸£ÀûÍø, Canada.

BASc. in Computer Science, Notre Dame ¾Å¾Å¸£ÀûÍø, Lebanon.

Elias Bou-Harb

  • CSC 2362: Intro to Cybersecurity and Defense
  • CSC 4501: Computer Networks
  • Operational cyber security
  • Cyber forensics
  • Critical infrastructure security
  • Empirical Data analytics,
  • Digital investigation
  • Network Security
  • Network Management
  • Manuel, D., Islam, N. T., Khoury, J., Nunez, A., Bou-Harb, E., & Najafirad, P. (2024). Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries. arXiv preprint arXiv:2411.04981.
  • AlSabeh, A., Friday, K., Kfoury, E., Crichigno, J., & Bou-Harb, E. (2024). On dga detection and classification using p4 programmable switches. Computers & Security, 145, 104007.
  • Torabi, S., Klisura, D., Khoury, J., Bou-Harb, E., Assi, C., & Debbabi, M. (2024). Internet-Wide Analysis, Characterization, and Family Attribution of IoT Malware: A Comprehensive Longitudinal Study. IEEE Transactions on Dependable and Secure Computing.
  • Islam, N. T., Khoury, J., Seong, A., Bou-Harb, E., & Najafirad, P. (2024). Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs. arXiv preprint arXiv:2409.00571.
  • Friday, K., & Bou-Harb, E. (2024, August). Accelerating Ransomware Defenses with Computational Storage Drive-Based API Call Sequence Classification. In Proceedings of the 17th Cyber Security Experimentation and Test Workshop (pp. 8-16).
  • Gharaibeh, T., Seiden, S., Abouelsaoud, M., Bou-Harb, E., & Baggili, I. (2024, July). Don't, Stop, Drop, Pause: Forensics of CONtainer CheckPOINTs (ConPoint). In Proceedings of the 19th International Conference on Availability, Reliability and Security (pp. 1-11).
  • Tieby, N., Khoury, J., & Bou-Harb, E. (2024, June). Characterizing and analyzing leo satellite cyber landscape: A starlink case study. In ICC 2024-IEEE International Conference on Communications (pp. 1352-1357). IEEE.
  • Khoury, J., Nader, C., Pour, M. S., & Bou-Harb, E. (2024). An Internet-Scale Data-Driven Approach for Exploring Cyber Threats Amid Global Conflicts. IEEE Internet of Things Magazine.
  • Friday, K., Bou-Harb, E., Lee, R., Peethambaran, P., & Saxena, M. (2024, June). Empowering Data Centers with Computational Storage Drive-Based Deep Learning Inference Functionality to Combat Ransomware. In 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S) (pp. 125-132). IEEE.
  • Khoury, J., Nader, C., Pour, M. S., & Bou-Harb, E. (2024, June). Exploring Internet-Scale Data-Driven Intelligence: Empirical Analysis of the Russo-Ukrainian Conflict. In 2024 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 896-901). IEEE.
  • 2024: UT System-wide Distinguished Research Award, Texas
  • 2023: ¾Å¾Å¸£ÀûÍø-wide Service Award for Center Leadership, UTSA 
  • 2021/2022: Sole Recipient of All UTSA’s Faculty Research Award 
  • 2020: Named the Recipient of UTSA College of Business Col. Jean Piccione and Lt. Col. Philip Piccione Endowed Faculty Award for Research Excellence 
  • 2020: Elevated to IEEE Senior Member 
  • 2019: Sole Recipient of the Junior, Faculty-wide, Research Award, FAU
  • 2015-2023: Six Best Conference Research Paper Awards
  • 2016: Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship (PDF): Top .5% of all Canadian Computer Science Ph.D. Students 
  • 2015: Fonds de recherche du Québec - Fellowship, Ranked 1st in the province of Quebec 
  • 2024: Source: National Science Foundation (NSF), Title: Collaborative Research: CISE MSI: RPEP: OAC: Macroscopic and Microscopic Inference and Analysis of Vulnerabilities within EV Charging-Management Systems, PI: Elias Bou-Harb, $369,998.
  • 2024: Source: National Science Foundation (NSF), Title: OAC Core: Enhancing Network Security by Implementing an ML Malware Detection and Classification Scheme in P4 Programmable Data Planes and SmartNICs, Co-PI: Elias Bou-Harb, $599,999.
  • 2023: Source: National Science Foundation (NSF), Title: Collaborative Research: CyberTraining: Implementation: Medium: Cross-Disciplinary Training for Joint Cyber-Physical Systems and IoT Security, PI: Elias Bou-Harb, $383,953. 
  • 2023: Source: National Science Foundation (NSF), Title: OAC Core: Data-driven Methods and Techniques For Protecting Research and Critical Cyberinfrastructure By Characterizing and Defending Against Ransomware, PI: Elias Bou-Harb, $481,693. 
  • 2023: Source: National Science Foundation (NSF), Title: Collaborative Research: CyberTraining: Implementation: Medium: Cross-Disciplinary Training for Joint Cyber-Physical Systems and IoT Security, PI: Elias Bou-Harb, $399,493.
  • 2021: Source: National Science Foundation (NSF), Title: OAC Core: Data-driven Methods and Techniques For Protecting Research and Critical Cyberinfrastructure By Characterizing and Defending Against Ransomware, PI: Elias Bou-Harb, $500,000. 
  • 2019: Source: National Science Foundation (NSF), Title: CRII: OAC: Inferring, Attributing, Mitigating and Analyzing the Malicious Orchestration of Internet-scale Exploited IoT Devices: A Network Telescope Approach, PI: Elias Bou-Harb, $111,831.
  • 2019: Source: National Science Foundation (NSF), Title: OAC Core: Small: Devising Data-driven Methodologies by Employing Large-scale Empirical Data to Fingerprint, Attribute, Remediate and Analyze Internet-scale IoT Maliciousness, PI: Elias Bou-Harb, $496,898. 
  • 2018: Source: National Science Foundation (NSF), Title: CRII: OAC: Inferring, Attributing, Mitigating and Analyzing the Malicious Orchestration of Internet-scale Exploited IoT Devices: A Network Telescope Approach, PI: Elias Bou-Harb, $175,000.