Ransomware Detection via File Type and Metadata Profiling
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Solution Overview
Problem
Ransomware attacks pose a significant threat to both individuals and enterprises by encrypting files and denying access until a ransom is paid, with recent attacks targeting backup services, leading to data loss and operational disruptions, and existing solutions rely on signature-based detection methods that can be ineffective against evolving threats.
Innovation Solution
A system and method that employs a ransomware detection engine on endpoints to profile file types and metadata, identifying suspicious activities by monitoring file creations and modifications, and taking remedial actions such as isolating infected devices from the network, without relying on traditional ransomware signatures, thereby containing the spread and enabling quick recovery from backups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signature-based detection methods are used, then detection reliability is improved for known threats, but detection capability deteriorates against evolving ransomware threats
Solution Approach 1:
The patent changes the detection parameters from static ransomware signatures to dynamic behavioral parameters including file type frequency, encryption rate, and file modification patterns. The system monitors multiple parameters simultaneously and uses threshold-based detection to identify ransomware activity, allowing adaptation to new threats without requiring updated signatures.
2Measurement precision
If traditional ransomware signature detection is employed, then detection accuracy is improved for identified threats, but response time deteriorates due to constant signature updates required
Solution Approach 1:
The system performs preliminary actions by establishing baseline file type frequencies and encryption rate thresholds before ransomware attacks occur. During operation, the system continuously monitors current file operations against these pre-established baselines, enabling immediate detection and response without waiting for signature updates.
3Loss of substance
If backup services are targeted by ransomware, then data loss is minimized through backup recovery, but operational disruption worsens during recovery processes
Solution Approach 1:
The system applies preliminary anti-action by detecting ransomware encryption behavior before it can compromise backup services. The monitoring system identifies suspicious encryption patterns and triggers isolation protocols that prevent ransomware from reaching backup infrastructure, thereby protecting data without requiring recovery operations.
Data Source
AI summary
There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a system profile store; and a ransomware detection engine including instructions encoded within the memory to instruct the processor to: detect an operation, by a process, that results in an operation on a file, wherein the operation includes newly creating the file including a file type identifier, or where the file is an existing file, changing a file type identifier for the file; querying the system profile store with a combination of the file type identifier and metadata about the file; based at least in part on the querying, determining that the process is a suspected ransomware attack; and taking a remedial action.