Multi-method Gateway Network Security System for Intrusion Detection
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Solution Overview
Problem
Current network security technologies are inadequate in detecting and preventing sophisticated network security breaches, as they often result in high false alarm rates, fail to examine packets effectively, and cannot prevent attacks in real-time, especially when integrated with firewalls and intrusion detection systems.
Innovation Solution
A multi-method network security system (MMIDP) that integrates stateful signature detection, traffic signature detection, and protocol anomaly detection, equipped with software modules like IP defragmentation, flow management, and protocol anomaly detection, to accurately identify and drop suspicious packets before they reach network hosts or the outside network, while being centrally managed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple detection methods are integrated to improve detection accuracy, then the system complexity increases
Solution Approach 1:
The system divides intrusion detection into three independent modules: stateful signature detection module, traffic signature detection module, and protocol anomaly detection module. Each module handles specific detection tasks separately, allowing the system to achieve comprehensive detection accuracy while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent combines three different detection methodologies (stateful inspection, signature matching, and anomaly detection) into a unified intrusion detection system. The modules work together synergistically, with each contributing unique detection capabilities that complement the others, achieving higher overall detection accuracy than any single method could provide alone.
2Reliability
If real-time packet examination is performed to prevent attacks, then the processing time and system resource consumption increase
Solution Approach 1:
The system performs preliminary classification of packets using efficient filtering mechanisms before applying more intensive detection methods. Routine packets are processed quickly through simple filters, while only suspicious packets undergo deeper examination, reducing overall processing time while maintaining reliable attack prevention.
Solution Approach 2:
The system applies full-depth inspection only to packets that trigger suspicion thresholds, rather than examining every packet with maximum scrutiny. This partial action approach maintains high reliability for detecting actual attacks while significantly reducing average processing time for normal traffic.
3Measurement precision
If comprehensive packet inspection is performed to reduce false alarms, then the false alarm rate decreases but the system complexity increases
Solution Approach 1:
Different detection modules apply specialized inspection techniques tailored to specific packet characteristics and threat types. The stateful signature detection module examines connection states, the traffic signature module patterns data flows, and the protocol anomaly module validates protocol compliance. This localized specialization reduces false alarms while keeping each module's complexity manageable.
Solution Approach 2:
The system uses a composite detection approach combining multiple detection methodologies (stateful inspection, signature matching, anomaly detection) that work together to provide comprehensive verification. This composite strategy cross-validates findings across different detection methods, significantly reducing false alarms through multi-faceted verification.
Data Source
AI summary
Systems and methods for detecting and preventing network security breaches are described. The systems and methods present a gateway-based packet-forwarding network security solution to not only detect security breaches but also prevent them by directly dropping suspicious packets and connections. The systems and methods employ multiple techniques to detect and prevent network security breaches, including stateful signature detection, traffic signature detection, and protocol anomaly detection.