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Home/Authors/Ali Shoker

Ali Shoker

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×3AI×2Emerging Tech×1

Frequent co-authors

Hassan Jalil Hadi2×
Rehana Yasmin2×
Paulo Esteves-Verissimo1×
Christopher G. Pedraza Pohlenz1×
Ali Hassan1×

Research Timeline

2026
Toward Space-Based Public Key Systems: Enabling Secure Space Communications through In-Orbit Trust Services

This paper proposes and analyzes architectural designs for space-based Public Key Infrastructure (PKI) to enable secure, low-latency authentication and trust services for rapidly expanding satellite constellations.

LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution

The paper introduces LCC-LLM, a code-centric framework and dataset that significantly improves the reliability of malware attribution and static analysis by grounding LLM reasoning in comprehensive, multi-source code evidence.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

The paper introduces GenTI, a novel LLM-driven benchmark and dataset, to automatically generate high-quality, deployable IDPS rules for detecting unseen and zero-day cyber attacks.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentJun 4, 2026

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

Hassan Jalil Hadi, Rehana Yasmin, Ali Shoker

The paper introduces GenTI, a novel LLM-driven benchmark and dataset, to automatically generate high-quality, deployable IDPS rules for detecting unseen and zero-day cyber attacks.

View →
cs.CRcs.ETRecentMay 7, 2026

Toward Space-Based Public Key Systems: Enabling Secure Space Communications through In-Orbit Trust Services

Rehana Yasmin, Paulo Esteves-Verissimo, Ali Shoker

This paper proposes and analyzes architectural designs for space-based Public Key Infrastructure (PKI) to enable secure, low-latency authentication and trust services for rapidly expanding satellite c…

View →
cs.CRcs.AIRecentMay 7, 2026

LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution

Christopher G. Pedraza Pohlenz, Hassan Jalil Hadi, Ali Hassan, Ali Shoker

The paper introduces LCC-LLM, a code-centric framework and dataset that significantly improves the reliability of malware attribution and static analysis by grounding LLM reasoning in comprehensive, m…

View →