Federated Learning-based Zero-day Intrusion Detection System with Post Quantum Secure Model Aggregation

R Teaja Shree; Dr.J.Jeba Emilyn

doi:10.36948/ijfmr.2026.v08i01.69814

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Federated Learning-based Zero-day Intrusion Detection System with Post Quantum Secure Model Aggregation

Author(s)	R Teaja Shree, Dr.J.Jeba Emilyn
Country	India
Abstract	This project proposes a Federated Learning-based Zero-Day Intrusion Detection system with Post Quantum Secure ModelAggregation. In the proposed framework, multiple distributed network nodes locally train intrusion detection models using their own traffic data. Federated Learning (FL) enables collaborative model training without transferring raw data, thus preserving privacy. To ensure secure aggregation of model updates, post-quantum cryptographic techniques are applied during the federated aggregation process, protecting the system from future quantum attacks and malicious interference.
Field	Computer > Network / Security
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-02-24
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.69814

View / Download PDF File

E-ISSN 2582-2160

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2 Cover Page Vol 8 Isu 1 Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Federated Learning-based Zero-day Intrusion Detection System with Post Quantum Secure Model Aggregation

Share this