AITIR Research and Publications
Version: 2.0.0 Status cutoff: 2026-08-05
This page separates published works, submitted manuscripts, repository artifacts, and future research. Submission does not imply acceptance or endorsement.
Published AITIR lineage
- Hossain, M. S., & Reddy, K. K. P. (2024). “AI-Enhanced Identity Threat Detection and Automated Response: An AITIR Framework for Optimized Cybersecurity Operations.” International Journal on Science and Technology, 15(2). https://doi.org/10.71097/IJSAT.v15.i2.11300
- Role: early AITIR conceptual and reported simulation lineage.
- Boundary: results are reported prior evidence and are not independently reproduced by this Version 2 repository.
- Hossain, M. S., Md, S. M. F., Hemal, M. A. K. P., & Shamarukh, S. (2025). “AI-Assisted Identity and Access Threat Detection Using the AITIR Framework for Public-Sector Cybersecurity Environments.” Journal of Computer Science and Technology Studies, 7(12), 557-572. https://doi.org/10.32996/jcsts.2025.7.12.62
- Role: public-sector identity-centered framework lineage.
- Boundary: synthetic/simulated evaluation; no production deployment claim.
Verified submitted manuscripts
| Venue/status | Manuscript | Version 2 module | Evidence boundary |
|---|---|---|---|
| JIDMIS, submission 1402 | “A Comprehensive Cyber Security Architecture for Government Agencies Based on the AITIR Framework” | seven-plane architecture, design requirements, standards crosswalk, pilot scorecard | design-science architecture and 12-row artifact audit; no field deployment |
| IJCISIM, submission 4189 | “When AITIR Should Abstain: Calibrated Selective Risk Scoring for Insider-Threat Response Under Temporal Shift” | calibration, abstention, coverage-risk, review-cost model | synthetic CERT r4.2; modeled perfect review; no real employee data |
| MDPI Journal of Cybersecurity and Privacy, submission jcp-4513665 | “Planning Identity Remediation with an Uncertain Attack Graph: A Cost-Constrained AITIR Study on Synthetic Active Directory Networks” | uncertainty-aware identity-graph remediation | synthetic ADSynth graphs; experimental confidence and cost assumptions |
| Journal of Universal Computer Science, submission 210531 | “Verifying Identity-Response Authority Before Automation: An Explicit-State AITIR Guardrail Study” | response state machine and authority guard categories | finite-policy conformance and mutation testing; not legal or production sufficiency |
These records were verified in the author’s publication register. Their status may change after this cutoff; live venue status should be checked before reuse.
Relationship to Version 2
Version 2 synthesizes interfaces and safeguards across the four research modules. It does not aggregate their numerical findings into a single efficacy claim. The architecture intentionally labels:
- standards-derived requirements;
- Version 2 architectural propositions;
- published prior findings;
- submitted-study findings;
- reproduced repository checks;
- future operational evidence.
Repository artifact
The Version 2 repository provides schemas, documentation, a 12-row synthetic conformance example, a validator, diagrams, and public PDFs. It does not include the licensed/raw datasets or every implementation artifact from the submitted studies.
Research priorities
- prospective, lawful, multi-organization identity telemetry evaluation;
- measured analyst review accuracy and workload under abstention;
- calibrated relation confidence and local disruption cost for identity graphs;
- response-authority policies reviewed by real mission, legal, privacy, continuity, and security owners;
- adversarial testing of telemetry, models, threat feeds, identity resolution, and generative-AI assistance;
- connector fault injection, evidence preservation, rollback, and service-continuity measurement;
- independent replication and control assessment.
Citation and provenance
- Framework citation:
../CITATION.cff - Detailed standards and literature ledger:
../research/version-2-research-ledger.md - Public repository: https://github.com/sajjad47/AITIR-Framework
- Author ORCID: https://orcid.org/0009-0009-4948-1179
Claim policy
Do not describe submitted work as accepted. Do not describe synthetic or simulated data as production evidence. Do not claim that repository documentation independently reproduces results whose data and code are not present. Cite the exact work for its exact contribution and limitations.