MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611065057 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 23, 2026, for Hybrid Machine-Learning And Rule-Based Authentication Log Forensic Analysis System.
Inventors include Dr. Shailendrah Prakash; Pawan Chawla; Prince Patel; Shubh Khandelwal; Shubham Kumar; Prashant Mishra; Prashant Singh; Shubham Singh; Utkarsh Yadav; Komal Agarwal; and Sachin Choudhary.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Abstract A hybrid digital forensics analyzer is disclosed for digital forensic analysis of authentication logs. The system receives CSV authentication logs, timestamps, user identifiers, source IP addresses, login status and access frequency indicators from authentication servers, network applications, identity systems and security analysts through an input interface. A conditioning portion prepares the received input by filtering, normalizing, parsing, segmenting or otherwise converting the input into a structured representation suited to the particular processing task. A decision portion then converts raw logs into structured events, scores events using an anomaly model, applies explicit security rules and attaches a reason label to each suspicious login event. The system generates normal or suspicious classifications, reason-tagged alerts, confidence values and forensic investigation records through an output interface and stores a corresponding processing record. The arrangement links acquisition, conditioning, decision processing and output generation in one operative chain, because the model score and rule reason are preserved together in the final event record. Dated 13 May 2026 Kumar Tushar Srivastava IN/PA- 3973 Agent for the Applicant
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