Scientific Positioning
Research-3 is framed as a distinct contribution built from Research-1 and Research-2, not a copy. The novelty is architectural, methodological, and operational.
Research-3 Focus
A complete journal artifact website
This website is intentionally structured around your journal narrative: motivation, prior-work lineage, architecture, methodology, results, reproducibility assets, and controlled manuscript distribution.
Enterprise Multi-Tenant Model
Super-control governance provisions corporate clients while each tenant runs a compact subsystem with resilient local protection and synchronized upgrades.
Continuous Threat Adaptation
OSINT feeds are fused with runtime telemetry to support drift-aware adaptation and better handling of emerging threats and zero-day signals.
Key Journal Contributions
- Unified ASLF-OSINT architecture with super-control and tenant-local subsystems.
- REST API-driven intelligence ingestion from MISP, OTX, and VirusTotal.
- Multi-paradigm learning stack: PPO, continual adaptation, meta-learning, transfer, federated aggregation.
- Real-time role-aware operations through authenticated control APIs and dashboard streaming.
Research Lineage
Research-1 -> Research-2 -> Research-3
This section explicitly links all three stages and clarifies what each stage contributes to the final ASLF-OSINT journal system.
Stage progression
- Research-1: LSTM-based serverless IDS baseline with zero-trust direction.
- Research-2: Cross-cloud adaptation and hybrid XGBoost+BiGRU security workflow.
- Research-3: Autonomous OSINT-driven firewall with federated multi-tenant control architecture.
Novelty Matrix
| Dimension | R1 | R2 | R3 |
|---|---|---|---|
| Core model | LSTM | XGBoost+BiGRU | Multi-paradigm adaptive stack |
| Scope | Baseline IDS | Cross-cloud orchestration | Super/tenant federation |
| Update mode | Manual retrain | Scheduled refresh | Autonomous OSINT-driven |
| Tenant governance | Limited | Partial | Full multi-tenant lifecycle |
| Operational readiness | Research baseline | Prototype | Journal + deployable artifact |
Journal Summary
Everything aligned to your manuscript
Abstract snapshot
ASLF-OSINT addresses evolving cloud-native threats by combining live threat intelligence, adaptive learning, and federated zero-trust governance. The system demonstrates strong detection quality while maintaining low latency and multi-tenant operational control.
Method stack
- PPO policy optimization
- Continual drift adaptation
- Few-shot meta-learning
- Transfer learning
- FedNova-based federated updates
Data and runtime scope
- CICIDS2017, CSE-CIC-IDS2018, UNSW-NB15, NSL-KDD
- 30-day live OSINT ingestion
- AWS Lambda, Azure Functions, GCP Functions
- Proxmox federation node deployment path
Research question answered in this portal
Can a single architecture simultaneously deliver autonomous learning, federated zero-trust control, enterprise tenant management, and practical low-latency response for serverless systems?
Overview Video
Walkthrough of the Research-3 system
Interactive chapter controls are tied to your official video link.
System Architecture
Unique Research-3 architecture explorer
This architecture is rebuilt for ASLF-OSINT Research-3 from your journal: it combines Research-1 detection foundations, Research-2 cross-cloud adaptation, and a new super-control plus tenant-compact federation model.
Research-3 architecture: Research-1 + Research-2 lineage integrated into OSINT-driven autonomous learning with super-control and tenant compact subsystems.
Research-3 architectural structure
Switch interpretation modes to inspect lineage integration, data flow, and deployment governance.
- Foundation from Research-1: baseline LSTM IDS signal and threat classification path.
- Expansion from Research-2: cross-cloud hybrid adaptation and unified policy controls.
- New in Research-3: super-control governance, tenant-local autonomy, and OSINT-driven continuous adaptation.
Logical architecture view
Layered architecture description appears here.
ASLF-OSINT subsystem explorer
OSINT aggregation and trust-scored indicator intake
Select a subsystem node to inspect how Research-3 uniquely combines your prior studies with ASLF-OSINT control logic.
Evaluation
Graphically interactive results dashboard
All charts below are aligned with your published lineage and Research-3 reported metrics.
Research stage comparison (bar)
Cross-cloud runtime and sync delay (bar)
Accuracy trend (line)
Attack distribution (pie)
Policy maturity (radar)
Latency vs cost (scatter)
Journal headline metrics
| Metric | Value |
|---|---|
| Detection accuracy | 98.7% |
| Few-shot zero-day detection | 94.3% |
| Average response latency | 87 ms |
| Drift adaptation | 12.4 minutes |
| Federated policy consistency | 99.8% |
ASLF-OSINT Test Lab
Interactive simulation for reviewers and users
Use real-time controls to emulate threat scenarios and observe policy decisions for your firewall framework.
Input controls
Adjust event features and run a simulated decision path.
Simulation output
Simulated ASLF-OSINT assessment
0
Composite risk score
Awaiting simulation
Awaiting simulation
Journal Assets
Paper, source, and reproducibility resources
Public first-page preview plus secure encrypted downloads, following your policy requirements.
Research-3 Journal
ASLF-OSINT
Autonomous Self-Learning Serverless Intelligent Firewall: Integrating REST API-Driven Open-Source Threat Intelligence, Multi-Paradigm Machine Learning, and Federated Zero-Trust Architectures
Full manuscript artifacts are encrypted. The public site provides first-page visibility and complete policy-guided access flow.
Citation (BibTeX)
@article{chowdhury2026aslf,
title = {Autonomous Self-Learning Serverless Intelligent Firewall: Integrating REST API-Driven Open-Source Threat Intelligence, Multi-Paradigm Machine Learning, and Federated Zero-Trust Architectures},
author = {Chowdhury, Md Anisur Rahman and Wang, Kefei},
year = {2026}
}
Author Profiles
Identity, publication, and contact channels
Professional profile and background.
linkedin.com/in/md-anisur-rahman-chowdhury-15862420aGitHub
Code repositories and artifact history.
github.com/ANIS151993Google Scholar
Publication and citation profile.
scholar.google.com/citations?user=NQyywPoAAAAJPortfolio
Extended projects and technical showcase.
marcbd.comResearchGate
Academic collaboration profile.
researchgate.net/profile/Md-Anisur-Rahman-ChowdhuryPassword and collaboration requests.
engr.aanis@gmail.com