一种基于时间攻击的网络流量审计优化防御方法
By generating dynamic time strategies and time feature masquerading, combined with real-time monitoring and optimization, the problem of detecting advanced time feature masquerading attacks in network traffic auditing has been solved, achieving precise blocking and efficient response to time attacks.
CN120546986BActive Publication Date: 2026-07-17BEIJING INST OF COMP TECH & APPL
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING INST OF COMP TECH & APPL
- Filing Date
- 2025-07-01
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing network traffic auditing technologies struggle to detect advanced time-based spoofing attacks, lack the ability to model time-series behavior baselines, and suffer from high latency in responding to dynamic attacks.
Method used
By generating dynamic time strategies, adding time feature camouflage information, and monitoring and optimizing in real time, combined with self-similarity analysis and trusted time chain verification, the detection model is optimized to identify time attacks.
Benefits of technology
It achieves accurate detection and efficient response to time-based attacks, improves the attack detection rate, reduces detection latency, and has the ability to continuously evolve.
✦ Generated by Eureka AI based on patent content.
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Figure CN120546986B_ABST
Abstract
本发明涉及一种基于时间攻击的网络流量审计优化防御方法，属于网络安全技术领域。该方法通过时序行为建模、实时检测和动态防御设计，实现了网络流量审计优化，使审计系统能够实现对时间攻击的精准阻断。本发明可用于对此类攻击的精准检测发现。
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Citation Information
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