MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074601 A) filed by Dr. Santha Lalitha Anepu; Dr V Mnssvkr Gupta; Sana Saraswathi; Y. Sherly Priscilla; Suresh Sappa; Mr. G. Ravindranath; Dr B Veeramallu; and Dr Gunupusala Satyanarayana on June 16, 2026, for An Explainable Deep Learning-Based Intrusion Detection System With Adaptive Threat Intelligence Integration.
Inventors include Dr. Santha Lalitha Anepu; Dr V Mnssvkr Gupta; Sana Saraswathi; Y. Sherly Priscilla; Suresh Sappa; Mr. G. Ravindranath; Dr B Veeramallu; and Dr Gunupusala Satyanarayana.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The invention employs intelligent data preprocessing, feature extraction, anomaly detection, and threat classification mechanisms to identify a wide range of cyberattacks, including malware infections, ransomware attacks, denial-of-service attacks, insider threats, advanced persistent threats, and zero-day exploits. To overcome the limitations of conventional black-box artificial intelligence systems, the invention incorporates Explainable Artificial Intelligence (XAI) techniques that generate transparent and interpretable explanations for detection outcomes, enabling cybersecurity professionals to understand the reasoning behind threat classifications and make informed security decisions. The system further includes an adaptive threat intelligence integration framework that continuously gathers, updates, and incorporates threat indicators, vulnerability information, attack signatures, and emerging threat patterns from multiple intelligence sources. This dynamic adaptation capability allows the system to respond effectively to evolving cyber threats while reducing reliance on manual updates.
Disclaimer: Curated by HT Syndication.
