Tiered Network Flow Analysis for Intrusion Detection
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Solution Overview
Problem
Current networking systems are vulnerable to intrusion attacks and struggle to detect them quickly while maintaining reasonable network throughput and latency, often straining resources.
Innovation Solution
Implementing a tiered network flow analysis system that performs a rapid, inexpensive first-tier analysis on incoming network flows, redirecting suspicious flows to a deeper analysis process if necessary, and forwarding non-suspicious flows to their intended recipients, while handling detected issues by ignoring, delaying, or flagging them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deep analysis is performed on all network flows to detect intrusion attacks, then detection precision is improved, but network throughput deteriorates and latency increases
Solution Approach 1:
The analysis system is segmented into multiple tiers: a first tier that performs rapid lightweight analysis on all flows, and a second tier that performs deep analysis only on suspicious flows. This segmentation allows the system to maintain high throughput for normal traffic while applying rigorous detection only where needed, resolving the contradiction between detection precision and network throughput.
Solution Approach 2:
Different analysis depths are applied to different network flows based on their characteristics. Non-suspicious flows receive minimal analysis (high throughput, low detection depth), while suspicious flows receive deep analysis (lower throughput, high detection depth). This local differentiation of analysis quality maintains overall system productivity while improving detection precision for critical cases.
2Measurement precision
If deep analysis is performed on all network flows to detect intrusion attacks, then detection precision is improved, but latency increases
Solution Approach 1:
The analysis process is divided into two sequential stages: rapid first-tier analysis for all flows, and deep second-tier analysis only for suspicious flows. This segmentation ensures that the majority of flows experience minimal latency while suspicious flows receive the necessary deep analysis, balancing detection precision with acceptable latency for normal traffic.
Solution Approach 2:
The first-tier rapid analysis is performed as a preliminary action before deep analysis. This preliminary filtering identifies and eliminates non-suspicious flows early in the process, preventing them from undergoing time-consuming deep analysis and thus reducing overall network latency while maintaining detection precision for actual threats.
3Reliability
If comprehensive network flow analysis is performed to detect intrusion attacks, then reliability is improved, but resource consumption increases
Solution Approach 1:
The detection system is segmented into two resource-consuming operations: low-resource first-tier analysis applied to all flows, and high-resource second-tier analysis applied only to suspicious flows. This segmentation maintains high detection reliability by ensuring suspicious flows receive thorough analysis while preventing excessive resource consumption by limiting deep analysis to only necessary cases.
Solution Approach 2:
Instead of performing complete deep analysis on all flows (excessive action), the system performs partial analysis (first-tier) on all flows and reserves full deep analysis (second-tier) only for suspicious cases. This partial action approach maintains detection reliability for critical threats while avoiding the excessive resource consumption that would result from universal deep analysis.
Data Source
AI summary
The effects on networking systems of attacks on vulnerabilities, such as vulnerable modules in a webserver, SYN flooding, etc, can be devastating to a network environment. In various embodiments, a first, quick, or inexpensive analysis is performed on incoming network flows. If an intrusion issue or other problem is suspected based on the first, rapid, or an inexpensive analysis, then the flow can be flagged for redirection to another process, virtual machine, or physical computer module that will perform a deeper, more expensive analysis on the network flow. If there are no issues detected in the second, deeper analysis, then the network flow can be forwarded to its intended recipient. If an issue is detected in the second, deeper analysis, then the network flow can be throttled, quarantined, ignored, sent to an un-trusted portion of the system, sent for more analysis, or otherwise handled or flagged.