activity
20232026
most citedForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability

5 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2026

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

Alex Carbajal, Caleb Faultersack, Jonahtan Vasquez +2

The rise of automated scanning tools and AI assisted reconnaissance agents has significantly altered internet background traffic patterns, threatening the baseline assumptions unde…

cs.CR2026

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

Shereen Ismail, Taelyn Dyer, Raul Martinez +3

Network telescopes serve as a critical passive monitoring tool for capturing unsolicited Internet traffic, providing insights into global scanning and reconnaissance behavior. This…

cs.CR2026

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

Manuella Christelle Tossa, Fernando Madrigal, Ryan Blosser +1

Reliable grid operation depends on accurate and timely telemetry, making modern power systems vulnerable to communication layer cyberattacks. This paper evaluates how Denial of Ser…

cs.CR2026

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

Alex Carbajal, Asma Jodeiri Akbarfam

Wi-Fi deauthentication attacks remain a practical denial-of-service (DoS) threat by exploiting unprotected management frames to disrupt client connectivity. In this work, we introd…

cs.CR2025

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

Mohamed Elmahallawy, Asma Jodeiri Akbarfam

The rise of space AI is reshaping government and industry through applications such as disaster detection, border surveillance, and climate monitoring, powered by massive data from…

cs.CR2024

SOK: Blockchain for Provenance

Asma Jodeiri Akbarfam, Hoda Maleki

Provenance, which traces data from its creation to manipulation, is crucial for ensuring data integrity, reliability, and trustworthiness. It is valuable for single-user applicatio…

cs.CR2024

Secure Cross-Chain Provenance for Digital Forensics Collaboration

Asma Jodeiri Akbarfam, Gokila Dorai, Hoda Maleki

In digital forensics and various sectors like medicine and supply chain, blockchains play a crucial role in providing a secure and tamper-resistant system that meticulously records…

cs.CR2023★ 2 cited

Deep Learning meets Blockchain for Automated and Secure Access Control

Asma Jodeiri Akbarfam, Sina Barazandeh, Deepti Gupta +1

Access control is a critical component of computer security, governing access to system resources. However, designing policies and roles in traditional access control can be challe…

cs.CR2023★ 5 cited

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

Asma Jodeiri Akbarfam, Mahdieh Heidaripour, Hoda Maleki +2

Maintaining accurate provenance records is paramount in digital forensics, as they underpin evidence credibility and integrity, addressing essential aspects like accountability and…

cs.CR2023★ 5 cited

DLACB: Deep Learning Based Access Control Using Blockchain

Asma Jodeiri Akbarfam, Sina Barazandeh, Hoda Maleki +1

In general, deep learning models use to make informed decisions immensely. Developed models are mainly based on centralized servers, which face several issues, including transparen…