MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202631076820 A) filed by Soumya Shrivastava; and Hari Om on June 22, 2026, for A Privacy-Preserving Explainable Federated Intrusion Detection System And Method For Cloud Computing Environments.
Inventors include Soumya Shrivastava; and Hari Om.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a privacy-preserving explainable federated intrusion detection system for cloud computing environments. The system comprises a plurality of distributed cloud clients, each including a local data repository, a feature extraction module, a Bidirectional Long Short-Term Memory (Bi-LSTM) intrusion detection engine, a differential privacy module, and a communication interface. The system further comprises a federated aggregation server, a reputation evaluation engine, a global model repository, a federated explainability engine, and a security management interface. Network traffic features are extracted and processed locally to generate model updates without transmitting raw traffic data. Differential privacy protection is applied to local model updates prior to communication. The federated aggregation server performs coordinate-wise median reference generation and reputation-weighted aggregation to generate a global intrusion detection model. SHAP- based feature attribution values generated locally at participating clients are aggregated by the federated explainability engine to provide global feature-importance information without exposing local datasets. A computer-implemented method for privacy-preserving explainable intrusion detection in cloud environments is also disclosed.
Disclaimer: Curated by HT Syndication.
