Encrypted Traffic Threat Detection via Packet Correlation Rules

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Solution Overview

Problem

Encrypted communications obscure network threats, making it difficult for existing network-threat detection systems to identify and mitigate potential security risks.

Innovation Solution

A packet-filtering system configured to filter packets based on rule-based detection, identifying both unencrypted and encrypted data to detect network-threat indicators, and correlate packets to determine the presence of threats within encrypted communications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If encrypted communications are used to protect data privacy, then security and confidentiality are improved, but network-threat detection capability deteriorates

Engineering Contradiction:
Improvedata confidentialityVSAvoidthreat detection capability
Core Design Contradiction:
ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs preliminary actions by analyzing unencrypted data (such as DNS queries, SSL/TLS handshakes, and HTTP headers) before the actual encrypted communication takes place. This allows threat detection to occur based on pre-connection information, enabling security measures to be implemented before the encrypted session fully establishes, thus maintaining both confidentiality and detection capability.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If packet-filtering rules are configured to identify encrypted data packets, then threat detection accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvethreat detection accuracyVSAvoidpacket-filtering system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The packet-filtering system is segmented into specialized components that handle different aspects of threat detection: unencrypted data analysis modules, encrypted data identification modules, and correlation engines. Each component focuses on specific task, reducing the complexity burden on any single part while collectively achieving high detection accuracy through coordinated operation.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12513175B2Rule-based network-threat detection for encrypted communications
Publication Date: 2025.12.30 CENTRIPETAL NETWORKS INC
  • US12513175B2 patent drawing
  • US12513175B2 patent drawing
  • US12513175B2 patent drawing

AI summary

A packet-filtering system configured to filter packets in accordance with packet-filtering rules may receive data indicating network-threat indicators and may configure the packet-filtering rules to cause the packet-filtering system to identify packets comprising unencrypted data, and packets comprising encrypted data. A portion of the unencrypted data may correspond to one or more of the network-threat indicators, and the packet-filtering rules may be configured to cause the packet-filtering system to determine, based on the portion of the unencrypted data, that the packets comprising encrypted data correspond to the one or more network-threat indicators.