Intrusion Detection System Reputation-Based Packet Routing
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Solution Overview
Problem
Intrusion detection and prevention systems (IDPS) face challenges in effectively managing quality-of-service (QoS) and reputation-based filtering to protect networks from malicious activities, as they struggle to prioritize and analyze network traffic efficiently amidst constantly changing threat landscapes and varying reputation scores of IP addresses and sources.
Innovation Solution
The integration of quality-of-service (QoS) and Internet protocol reputation into IDPS, which utilizes reputation databases to classify and prioritize network packets based on their source reputation and QoS levels, allowing for targeted screening and analysis, and implementing behavioral-based protection to guard against unknown threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the IDPS analyzes all network packets in detail, then detection accuracy improves, but processing speed and system performance deteriorate
Solution Approach 1:
The patent segments network traffic into different categories based on QoS levels and reputation scores. High-priority traffic with good reputation is routed through expedited paths with minimal inspection, while low-priority or suspicious traffic undergoes more thorough analysis. This segmentation allows the system to maintain high detection accuracy for potentially malicious packets while preserving processing speed for legitimate traffic.
Solution Approach 2:
The system applies different inspection intensities to different packets based on their local characteristics (QoS level, reputation score, traffic pattern). Packets from reputable sources with high QoS receive lightweight processing, while packets from unknown or low-reputation sources undergo comprehensive scrutiny. This local quality approach optimizes the balance between detection accuracy and processing throughput.
2Reliability
If the IDPS implements comprehensive reputation-based filtering, then network security improves, but system complexity increases
Solution Approach 1:
The system performs preliminary reputation assessment and QoS classification of network packets before they enter the main inspection pipeline. By pre-evaluating packet sources against reputation databases and determining QoS levels upfront, the system simplifies subsequent processing decisions and reduces the complexity of real-time security analysis.
Solution Approach 2:
The patent introduces intermediary components including reputation databases, QoS classification mechanisms, and packet routing intermediaries that mediate between incoming network traffic and the core IDPS. These intermediaries handle complex reputation evaluation and traffic categorization tasks, allowing the main detection system to focus on security analysis with reduced complexity.
3Productivity
If the IDPS prioritizes processing of high-reputation packets, then legitimate traffic flow improves, but detection of sophisticated attacks deteriorates
Solution Approach 1:
The system dynamically adjusts processing priorities based on evolving threat intelligence and observed traffic patterns. Reputation scores and QoS levels are not static but are continuously updated based on new information from reputation databases and real-time analysis. This dynamic approach allows the system to maintain high legitimate traffic flow while adapting to detect sophisticated attacks that may attempt to exploit static prioritization rules.
Solution Approach 2:
The IDPS incorporates feedback mechanisms where detection results, threat intelligence, and traffic analysis continuously update reputation scores and QoS classifications. When sophisticated attacks are detected, the system learns from these events and adjusts its prioritization logic, ensuring that future detection capabilities improve while maintaining efficient legitimate traffic flow through feedback-driven adaptation.
Data Source
AI summary
An intrusion prevention system includes a processor, processing engines, buffers that are associated with a different range of reputation scores, and a storage device having a database and an application. The processor executes the application to determine that a firewall has admitted a packet, determine a reputation score for the packet from the database, provide the packet to a buffer that has a reputation score range that includes the reputation score of the packet, provide the packet from the buffer to a processing engine, process the packet by in the processing engine to determine if the packet includes an exploit, and forward the packet to the protected network if the first packet does not include the exploit.