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A Novel Approach to Deep Packet Inspection for Intrusion Detection

机译:一种用于入侵检测的深度包检查的新方法

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摘要

Intrusion detection and prevention is an integral part of Deep packet inspection. There are many methods and algorithms to detect signatures; each has its own merits and limitations. The measure of this time, accuracy and space requirement. All methods and algorithms are enhanced with technology revolutions. The development in anomaly and misuse detection in this decade is crucial as web services grow vast. Managing secure network is a challenge today. The objectives vary according to the infrastructure management and security policy. There are various ways to identify payload traffic using DPI, Network security, privacy and QoS. The functions of DPI are protocol detection, anti-virus, anti-malware and IDS/IPS. The detection engine may support by a signatures or heuristics. Most of the algorithms do training and testing separately, it takes approximately double time. The paper suggests a new model to improve performance of deep packet inspection for Intrusion detection system.
机译:入侵检测和预防是深度包检查的组成部分。有很多方法和算法可以检测签名。每个都有其优点和局限性。此时间的度量,准确性和空间要求。随着技术革命,所有方法和算法都得到了增强。随着Web服务的发展,这十年中异常和滥用检测的发展至关重要。管理安全网络是当今的挑战。目标根据基础结构管理和安全策略而有所不同。有多种使用DPI,网络安全性,隐私和QoS识别有效负载流量的方法。 DPI的功能是协议检测,防病毒,防恶意软件和IDS / IPS。检测引擎可以通过签名或试探法来支持。大多数算法分别进行训练和测试,大约需要两倍的时间。本文提出了一种提高入侵检测系统深度包检测性能的新模型。

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