Kernel File I/O Analysis for Real-Time Ransomware Blocking

Instead of searching for malicious signatures in files (traditional approach), the patent inverts the approach by analyzing file system I/O behaviors and data patterns to detect malicious activities. The kernel driver monitors I/O operations, data access patterns, and behavioral characteristics rather than scanning for known malicious signatures, thereby improving detection accuracy while reducing false positives and maintaining system efficiency.

The patent implements preliminary action by deploying a kernel driver that continuously monitors file system I/O operations and data access patterns before malicious activities can cause significant damage. The system proactively analyzes I/O behaviors, data modification patterns, and access frequencies in real-time, enabling early detection and prevention of ransomware attacks before they complete their encryption process, rather than waiting for log analysis after infection occurs.

The patent extracts and isolates the security monitoring functionality into a dedicated kernel driver component that operates independently within the operating system. This extracted module specifically monitors file system I/O paths and data access patterns without requiring comprehensive system-wide instrumentation, thereby achieving effective detection of malicious behaviors while limiting the increase in overall system complexity to a manageable, isolated component.

The patent applies partial action by selectively monitoring specific file system I/O operations and data access patterns that are indicative of malicious activities, rather than analyzing every single I/O operation in real-time. The kernel driver focuses on detecting suspicious behaviors such as rapid sequential writes, unusual access patterns, and data modification characteristics associated with ransomware, thereby achieving effective detection while reducing processing overhead by avoiding exhaustive analysis of all system I/O traffic.