most citedLLMAC: A Global and Explainable Access Control Framework with Large Language Model

2 citations · 4 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Trust propagation and structural containment in Multi-agent LLM pipelines

Tanzim Hossain Safin, Sharif Noor Zisad, Swakkhar Shatabda +1

Multi-agent LLM systems increasingly automate tasks involving agents with different levels of privilege, creating a security risk in which a compromised low-privilege agent can inf…

cs.CR2026

When the Ruler is Broken: Parsing-Induced Suppression in LLM-Based Security Log Evaluation

Chaitanya Vilas Garware, Sharif Noor Zisad

LLM-based SOC log classifiers are commonly evaluated using regular-expression pipelines that extract structured fields from free-form model output. We demonstrate that this practic…

cs.CR2026

OpenSOC-AI: Democratizing Security Operations with Parameter Efficient LLM Log Analysis

Chaitanya Vilas Garware, Sharif Noor Zisad

Small and medium sized businesses (SMBs) face an escalating cybersecurity threat landscape, yet most lack the resources to staff full Security Operations Centers (SOCs) or deploy e…

cs.CR2026★ 2 cited

LLMAC: A Global and Explainable Access Control Framework with Large Language Model

Sharif Noor Zisad, Ragib Hasan

Today's business organizations need access control systems that can handle complex, changing security requirements that go beyond what traditional methods can manage. Current appro…

cs.CR2026

IPBAC: Interaction Provenance-Based Access Control for Secure and Privacy-Aware Systems

Sharif Noor Zisad, Ragib Hasan

Traditional access control systems, including RBAC, face significant limitations such as inflexible role definitions, difficulty handling dynamic scenarios, and lack of detailed ac…

cs.CL2025★ 1 cited

Comparative Analysis of Transformer Models in Disaster Tweet Classification for Public Safety

Sharif Noor Zisad, N. M. Istiak Chowdhury, Ragib Hasan

Twitter and other social media platforms have become vital sources of real time information during disasters and public safety emergencies. Automatically classifying disaster relat…