Publications

A. AlSabeh, K. Friday, E. F. Kfoury, J. Crichigno, and E. Bou-Harb, “On DGA detection and classification using P4 programmable switches”, Computers & Security, July, 2024.

J. Gomez, E. Kfoury, J. Crichigno, and G. Srivastava, “Improving TCP Fairness in Non-programmable Networks using P4-programmable Data Planes”, in IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Tbilisi, Georgia, June, 2024.

J. Gomez, E. F. Kfoury, J. Crichigno, and G. Srivastava, “Evaluating TCP BBRv3 Performance in Wired Broadband Networks”, Computer Communications, April, 2024.

A. Mazloum, A. AlSabeh, E. Kfoury, and J. Crichigno, “perfSONAR: Enhancing Data Collection through Adaptive Sampling”, in IEEE/IFIP Network Operations and Management Symposium (NOMS), Seoul, South Korea, May, 2024.

C. Vega, E. F. Kfoury, J. Gomez, J. E. Pezoa, M. Figueroa, and J. Crichigno, “Machine learning controller for data rate management in science DMZ networks”, Computer Networks, 2024.

J. Gomez, E. F. Kfoury, J. Crichigno, and G. Srivastava, “Reducing the Impact of RTT Unfairness using P4-Programmable Data Planes”, in IEEE International Conference on Communications (ICC), Denver, CO, June, 2024.

E. Kfoury, J. Crichigno, and E. Bou-Harb, “P4BS: Leveraging Passive Measurements from P4 Switches to Dynamically Modify a Router’s Buffer Size”, IEEE Transactions on Network and Service Management, February, 2024.

A. Vehabovic et al., “Federated Learning Approach for Distributed Ransomware Analysis”, vol. 13907. Springer Nature Switzerland, October, 2023.

K. Friday, E. Bou-Harb, J. Crichigno, M. Scanlon, and N. Beebe, “Offloading network forensic analytics to programmable data plane switches”. World Scientific, In Innovations in Digital Forensics, pp. 139–190, 2023.

A. Vehabovic et al., “Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution”, in IEEE/IFIP Network Operations and Management Symposium (NOMS), Miami, FL, May, IEEE, May, 2023.