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论文对比了诸多安全系统采用的被动反应式“签名”检测技术,介绍了一种可有效构建异常行为检测模型的安全策略和技术方法,并在实际项目研发和权威性测试中得到验证:它提供了一条开发主动、实时,基于行为防御恶意攻击技术的有效途径,安全效能显著,尤其是针对新型网络恶意代码的攻击。
The dissertation compares the passive reactive signatures detection technology adopted by many security systems, introduces a kind of security strategy and technical method which can effectively construct the abnormal behavior detection model, and is verified in the actual project research and authoritative test: It provides an effective way to develop proactive, real-time, behavioral-based defense against malicious attacks with significant security effectiveness, especially against new types of network malicious code.