Network Traffic Prioritized Matching Using Microcode State Machines
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Solution Overview
Problem
Current network security and monitoring systems, including firewalls and anti-virus software, are inadequate in detecting new types of attacks and reacting to threats effectively, as they rely on outdated hardware architectures that are costly, inefficient, and inflexible, failing to provide comprehensive monitoring and rapid reaction capabilities for high-speed networks.
Innovation Solution
An apparatus utilizing microcode controlled state machines and a distribution circuit to process network traffic according to provisioned rules and policies, enabling prioritized matching and flexible, advanced network security and monitoring features, which includes granular traffic modifications and deep packet inspection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional firewalls and anti-virus software are used for network security, then basic filtering and virus detection are provided, but the systems cannot detect new types of attacks and lack flexibility in reaction capabilities
Solution Approach 1:
The system dynamically adapts its behavior based on detected attack patterns. The monitoring apparatus learns from observed traffic patterns and automatically adjusts its detection rules and reaction strategies, transitioning from static signature-based detection to dynamic behavior-based detection that can identify new attack types without explicit signatures.
Solution Approach 2:
The system changes its operational parameters based on the type and severity of detected threats. Different detection thresholds, inspection depths, and reaction intensities are applied depending on the situation, allowing the system to optimize its detection capability while maintaining network performance and adapting to various attack scenarios.
2Reliability
If advanced security systems with multiple co-processors and content addressable memories are deployed, then enhanced monitoring and detection capabilities are achieved, but the cost and device complexity increase substantially
Solution Approach 1:
The monitoring apparatus is designed as a universal platform that can perform multiple security functions including intrusion detection, traffic analysis, pattern recognition, and automated response. A single integrated system replaces the need for multiple specialized co-processors and content addressable memories, reducing overall complexity while maintaining comprehensive monitoring capabilities.
Solution Approach 2:
The system incorporates automated self-learning and self-adjustment capabilities. The monitoring apparatus automatically analyzes traffic patterns, updates detection rules, and adjusts its operational parameters without requiring complex external configuration or management infrastructure, thereby reducing system complexity while enhancing monitoring effectiveness.
3Ease of manufacture
If hardware architectures are not customized for network security applications, then general-purpose computing resources are used, but performance becomes non-deterministic and validation is difficult
Solution Approach 1:
The system performs preliminary analysis and classification of network traffic using optimized algorithms and data structures that are pre-configured for security monitoring. By preparing detection patterns and classification rules in advance, the system achieves deterministic performance characteristics while maintaining the flexibility of software-based implementation on general-purpose hardware.
4Productivity
If memory hierarchy and complex queuing structures are added to support high bandwidth networks, then network performance degradation is avoided, but the device complexity and cost increase
Solution Approach 1:
The monitoring apparatus processes network traffic in a continuous stream without requiring complex buffering or queuing structures. By implementing efficient real-time analysis algorithms and maintaining continuous operation at wire speed, the system achieves high network throughput while avoiding the complexity of memory hierarchies and sophisticated queue management mechanisms.
Data Source
AI summary
An apparatus is described that performs prioritized matching through processing of network traffic in accordance with provisioned rules and policies. The apparatus includes a plurality of microcode controlled state machines, and a distribution circuit that routes input data to the plurality of microcode controlled state machines, such that the plurality of microcode controlled state machines apply rules to the input data to determine matches and produce priority indicators, wherein each match has an associated priority indicator. At least one of the matches is selected based on the priority indicators. Advantageously, the apparatus provides an architectural framework well suited to a low cost, high speed, robust implementation of flexible, advanced network security and monitoring features and network traffic analysis.