activity
20042026
most citedPreserving Both Privacy and Utility in Network Trace Anonymization

32 citations · 40 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2026

Evidence-Grounded Retrieval for Investigation Hunt Lead Generation from CTI Reports

Akash Prakash, Boubakr Nour, Makan Pourzandi +2

Threat hunting increasingly depends on converting unstructured knowledge (e.g., Cyber Threat Intelligence reports) into actionable hunt leads: concise, investigable hypotheses grou…

cs.CR2026

From Threat Intelligence to Detection: Knowledge-driven Enrichment and Template-based Rule Grounding for Automated Sigma Rule Generation

Sepehr Ghaffarzadegan, Boubakr Nour, Makan Pourzandi +2

Mechanisms for dynamically converting cyber threat intelligence (CTI) into actionable detection capabilities are necessary due to the rapid evolution of Advanced Persistent Threats…

cs.LG2025

PUL-Inter-slice Defender: An Anomaly Detection Solution for Distributed Slice Mobility Attacks

Ricardo Misael Ayala Molina, Hyame Assem Alameddine, Makan Pourzandi +1

Network Slices (NSs) are virtual networks operating over a shared physical infrastructure, each designed to meet specific application requirements while maintaining consistent Qual…

cs.CR2025

Automated Attack Testflow Extraction from Cyber Threat Report using BERT for Contextual Analysis

Faissal Ahmadou, Sepehr Ghaffarzadegan, Boubakr Nour +3

In the ever-evolving landscape of cybersecurity, the rapid identification and mitigation of Advanced Persistent Threats (APTs) is crucial. Security practitioners rely on detailed t…

cs.CR2022★ 2 cited

DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning

Meisam Mohammady, Han Wang, Lingyu Wang +6

Outsourcing anomaly detection to third-parties can allow data owners to overcome resource constraints (e.g., in lightweight IoT devices), facilitate collaborative analysis (e.g., u…

cs.CR2020

RDP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions

Meisam Mohammady, Shangyu Xie, Yuan Hong +4

Differential privacy (DP) has emerged as a de facto standard privacy notion for a wide range of applications. Since the meaning of data utility in different applications may vastly…