Dynamic Network Attack Defense System for HTTP Flood Mitigation
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Solution Overview
Problem
Existing network attack defense systems rely on fixed defense strategies, leading to increased false positive and false negative rates due to the dynamic nature of network environments, causing inefficiencies in detecting HTTP flood attacks.
Innovation Solution
A dynamic network attack defense system that transitions between defense modes based on statistical attributes and rolling averages of site traffic, deploying appropriate defense strategies to adjust false positive and false negative rates by using Boolean functions and state machines to determine operation mode transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed defense strategies are used to detect HTTP flood attacks, then the detection mechanism is simple to implement, but the false positive and false negative rates increase over time due to changing network environments
Solution Approach 1:
The patent implements dynamic defense strategies that automatically adapt to changing network conditions. The system monitors network traffic patterns and dynamically adjusts detection thresholds and defense parameters in real-time, transitioning between different operation modes (normal, attack detected, mitigation) based on current network state. This resolves the contradiction by making the defense strategy flexible rather than fixed, maintaining detection accuracy without sacrificing implementation feasibility through automated adaptation.
Solution Approach 2:
The system changes detection parameters dynamically based on network conditions. It adjusts thresholds for attack detection, modifies traffic analysis parameters, and alters defense response levels according to observed network patterns. This allows the system to maintain high detection accuracy across varying network environments while using standardized implementation approaches.
2Device complexity
If fixed defense strategies are used, then the system structure remains simple, but the system cannot adapt to evolving attack patterns and network conditions
Solution Approach 1:
The patent creates a dynamic system that automatically adapts to changing network conditions and attack patterns. The defense strategy transitions between different operation modes based on real-time network analysis, enabling the system to respond to evolving threats without requiring complex manual reconfiguration. The system maintains relatively simple structure through automated adaptation mechanisms rather than complex static configurations.
Solution Approach 2:
The system implements continuous feedback loops where network traffic is monitored, analyzed, and used to automatically adjust defense parameters. The feedback mechanism enables the system to learn from observed patterns and adapt to new attack methods while maintaining a relatively simple overall structure through automated control rather than complex decision-making architecture.
3Reliability
If dynamic defense strategies are implemented to reduce false positives and negatives, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements dynamic operation modes that transition between normal, attack detected, and mitigation states based on network conditions. This dynamic approach improves detection accuracy by adapting to current traffic patterns while managing complexity through standardized transition protocols and automated decision-making frameworks.
Solution Approach 2:
The system performs self-adjustment of defense parameters based on automated network analysis. It independently monitors traffic patterns, detects anomalies, and modifies detection thresholds without external intervention. This self-service capability improves detection accuracy while containing complexity within automated algorithms rather than requiring complex manual management systems.
Data Source
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AI summary
Network attack defense includes: obtaining a set of one or more statistical attributes for a protected site by gathering statistics for a set of one or more site attributes of the protected site, the site attributes indicating an operation mode of the protected site; determining, based on the set of one or more statistical attributes, that the protected site is to transition from a current operation mode to a target operation mode, wherein the current operation mode has a current defense strategy different from a target defense strategy of the target operation mode; and if the protected site is to transition from the current operation mode to the target operation mode, transitioning from the current operation mode to the target operation mode and applying the target defense strategy for the protected site instead of the current operation mode.