File Restore Activity Monitoring for Malware Detection
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Solution Overview
Problem
The increasing use of computing devices has led to a rise in malware threats that common signature-based detection systems cannot adequately identify and counter, posing a risk to sensitive data and requiring effective methods to detect and address suspicious file restore activities.
Innovation Solution
A computer-implemented method and system that detect restore activities, determine if the number of files restored exceeds a threshold, and perform security actions to protect the client device from malicious threats by identifying and blocking suspicious processes and sources, correlating data across multiple devices to prevent malware attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signature-based detection systems are used to identify malware, then the detection process is simple and fast, but the systems cannot adequately identify emerging malware threats
Solution Approach 1:
The system performs preliminary actions by monitoring file system activities and tracking file restore operations before malware can execute its malicious payload. By detecting restore activities and analyzing file metadata changes in advance, the system identifies potential malware threats before they compromise the system, thereby improving detection reliability without requiring complex signature databases
Solution Approach 2:
The system dynamically adapts its detection approach by transitioning from static signature-based detection to dynamic behavior-based monitoring. It continuously observes file system operations, process activities, and restore patterns, adjusting its analysis in real-time to identify emerging malware threats. This dynamic approach enables the system to detect novel malware without complex predefined signatures
2Reliability
If the system monitors and analyzes all file restore activities, then malware threats can be detected early, but the system consumes more computing resources and time
Solution Approach 1:
The system applies local quality by focusing monitoring resources on specific critical file system operations rather than uniformly analyzing all activities. It prioritizes monitoring file restore activities, metadata changes, and operations involving recently modified files, which are indicative of malware behavior. This selective approach maintains high threat detection capability while reducing overall system resource consumption
Solution Approach 2:
The system changes monitoring parameters dynamically based on system state and threat indicators. It adjusts the depth of analysis, sampling rates, and alert thresholds according to current system performance conditions and detected anomaly patterns. This allows the system to maintain effective threat detection while optimizing resource usage and preserving system productivity under normal operating conditions
3Reliability
If the system blocks suspicious processes and files during restore activities, then client devices are protected from malicious threats, but legitimate file restoration may be interrupted
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring blocked processes and analyzing their behavior patterns. When suspicious restore activities are detected, the system blocks them and provides feedback to users and administrators through alerts and detailed reports. This feedback loop allows for verification of false positives and enables administrators to adjust blocking rules, thereby maintaining device security while preserving legitimate file restoration operations
Solution Approach 2:
The system acts as an intermediary between file restore operations and the file system, intercepting and analyzing restore activities before they complete. It uses metadata analysis and behavior monitoring to distinguish between malicious and legitimate restore operations. By providing a layer of mediation rather than direct blocking, the system can prevent malicious threats while allowing legitimate file restoration to proceed with minimal disruption to ease of operation
Data Source
AI summary
The disclosed computer-implemented method for detecting and addressing suspicious file restore activities may include (i) detecting a restore activity during which files are restored to a client device from a previously stored backup of the files, (ii) determining that a total number of the files restored during the restore activity exceeds a threshold number, and (iii) performing, based on the total number of the files exceeding the threshold number, a security action to protect the client device from a malicious threat associated with the restore activity. Various other methods, systems, and computer-readable media are also disclosed.