Encrypted Traffic Threat Detection Using Metadata Risk Scoring
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Solution Overview
Problem
Existing systems struggle to detect threats in encrypted communications without decryption or deep packet inspection, which is crucial for securing evolving machine-to-machine (M2M) networks against advanced cyber threats.
Innovation Solution
A system and method for real-time threat detection in encrypted communications that passively monitors and analyzes non-encrypted metadata, enriches it with contextual data, and calculates a risk probability score using statistical analysis and machine learning, without decrypting the message data, to initiate automated threat mitigation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If decryption and deep packet inspection are used to detect threats in encrypted communications, then detection accuracy is improved, but system complexity and processing overhead increase
Solution Approach 1:
The patent extracts only the metadata portion (headers, packet sizes, timing information) from encrypted communications for analysis, while leaving the encrypted payload intact. This allows threat detection without decryption or deep packet inspection of the actual message content, reducing system complexity while maintaining detection capability through metadata enrichment and machine learning analysis
Solution Approach 2:
The patent introduces an intermediary metadata enrichment layer that collects, enriches, and analyzes communication metadata from multiple sources before threat assessment. This intermediary processing layer enables sophisticated threat detection using enriched contextual data without requiring direct decryption of encrypted communications, thus avoiding the complexity of decryption infrastructure
2Measurement precision
If metadata enrichment with multiple signal sources is implemented, then detection accuracy is improved, but data processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-collecting, pre-enriching, and pre-processing metadata from multiple signal sources before actual threat assessment is needed. Historical data is aggregated and contextualized in advance, enabling rapid threat evaluation when new communications are detected without performing enrichment operations in real-time
Solution Approach 2:
The patent implements feedback mechanisms where detection results and contextual information from multiple signal sources continuously refine future analysis. The system learns from past detections and updates its understanding of normal versus malicious patterns, improving accuracy over time while reducing processing requirements through adaptive algorithms
3Speed
If real-time monitoring of encrypted communications is implemented, then threat response speed is improved, but network overhead increases
Solution Approach 1:
The patent extracts only essential metadata elements (packet headers, sizes, timing, flow information) for real-time monitoring, completely excluding the encrypted payload data from analysis. This selective extraction enables real-time threat detection and rapid response while minimizing network overhead, as only minimal metadata is processed and transmitted through the monitoring system
Data Source
AI summary
A system and method for real-time threat detection for encrypted communications are provided. A method includes monitoring a data stream in a network, such as an M2M network, including encrypted message data and non-encrypted metadata associated with the encrypted message data being transmitted between endpoints on the network. The method includes extracting data stream metadata from the data stream including data points extracted from the non-encrypted metadata. The method includes enriching the data stream metadata with contextual data relating to one or more of threat, vulnerability and reputation data points and being obtained from one or more signal sources to output enriched data. The enriched data is analysed and a risk probability score associated therewith is calculated. An action is initiated in accordance with the risk probability score so as to mitigate a threat present on the network.