Asma Jodeiri Akbarfam

According to our database, Asma Jodeiri Akbarfam authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Characterizing AI-Assisted Bot Traffic in Darknet Data: Implications for ICS and IIoT Security.

Alex Carbajal, Caleb Faultersack, Jonahtan Vasquez, Shereen Ismail, Asma Jodeiri Akbarfam

CoRR, May, 2026

Analyzing Unsolicited Internet Traffic: Measuring IoT Security Threats via Network Telescopes.

Shereen Ismail, Taelyn Dyer, Raul Martinez, Garrett Gastman, Yozelyn Chavez, Asma Jodeiri Akbarfam

CoRR, May, 2026

Time Stepped Cyber Physical Simulation of DoS, DoD, and FDI Attacks on the IEEE 14 Bus System.

Manuella Christelle Tossa, Fernando Madrigal, Ryan Blosser, Asma Jodeiri Akbarfam

CoRR, March, 2026

A Software-Defined Testbed for Quantifying Deauthentication Resilience in Modern Wi-Fi Networks.

Alex Carbajal, Asma Jodeiri Akbarfam

CoRR, February, 2026

2025

Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks.

Mohamed Elmahallawy, Asma Jodeiri Akbarfam

Proceedings of the IEEE International Conference on Big Data, 2025

2024

SOK: Blockchain for Provenance.

Asma Jodeiri Akbarfam, Hoda Maleki

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Secure Cross-Chain Provenance for Digital Forensics Collaboration.

Asma Jodeiri Akbarfam, Gokila Dorai, Hoda Maleki

Proceedings of the 5th IEEE International Conference on Trust, 2024

2023

Deep Learning meets Blockchain for Automated and Secure Access Control.

Asma Jodeiri Akbarfam, Sina Barazandeh, Deepti Gupta, Hoda Maleki

CoRR, 2023

DLACB: Deep Learning Based Access Control Using Blockchain.

Asma Jodeiri Akbarfam, Sina Barazandeh, Hoda Maleki, Deepti Gupta

CoRR, 2023

ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability.

Asma Jodeiri Akbarfam, Mahdieh Heidaripour, Hoda Maleki, Gokila Dorai, Gagan Agrawal

Proceedings of the 5th IEEE International Conference on Trust, 2023

Classify Me Correctly if You Can: Evaluating Adversarial Machine Learning Threats in NIDS.

Neea Rusch, Asma Jodeiri Akbarfam, Hoda Maleki, Gagan Agrawal, Gokila Dorai

Proceedings of the Security and Privacy in Communication Networks, 2023