MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621073601 A) filed by Rajveer Khanvilkar; Pimpri Chinchwad College Of Engineering & Research; Swarali Rupesh Adhau; and Dr. Vijay Kotkar on June 13, 2026, for A System And Method For Pre-Emptive Interception And Deterministic Analysis Of Package Archive Intents In Mobile Operating Systems.
Inventors include Rajveer Khanvilkar; and Swarali Rupesh Adhau.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to an autonomous security gatekeeper apparatus and method for mobile operating systems designed for the pre-emptive interception, analysis, and selective blocking of malicious application package (APK) installation intents. The system comprises an intent-interception layer configured with a high- priority broadcast receiver (Priority 1000), a deterministic analysis engine for detecting permission-cluster risks, and a zero-permission delegation module for secure file handover. The apparatus is configured to identify "Scam Clusters"—specifically concurrent requests for Accessibility Services and System Overlay permissions—while performing source-ingress verification to identify files originating from third-party communication folders such as WhatsApp or Telegram. The system further includes a secure FileProvider mechanism that generates temporary, non-privileged URIs for installation, ensuring the security application remains a non-administrative entity during the verification process. A visual risk renderer translates heuristic threat scores into technical block-reasons for the end-user, while a background reconciliation layer provides persistent monitoring of filesystem directories to detect unscanned files. The invention provides a compact, local, and autonomous security framework that combines the effectiveness of deep-packet analysis with a pre-emptive intent-dispatch barrier to protect users from social engineering scams and unauthorized installation sequences before the native OS installer interface is rendered.
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