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Intelligent firewall: packet-based recognition against internet-scale virus attacks

机译:智能防火墙:基于数据包的识别对互联网级病毒攻击

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We report in this paper on research in progress concerning the packet-based recognition against Internetscale viruses. This research is one part of the Janus project to build an Intelligent Firewall. A main purpose of this project is to integrate a packet-based classification engine and a smart detection engine into a firewall. The packet-based classification engine aims at classifying Internet-scale virus packets apart from normal packets using packet header and payload, and then the smart detection engine deals with stream of filtered packets from the classification engine which selected them as having a high probability of containing malicious content. To classify and detect malicious packets from normal packets, we surveyed statistics of current internet-scale viruses and analyzed malicious packets. In this paper, we focus on Internet-scale virus recognition using data packets. In addition, we present current Internet-scale virus statistics, virus statistics, analysis of Internet-Scale Virus attacks, and why data packet detection is necessary. Finally, we introduce the concept of packet-based detection components in the Intelligent Firewall.
机译:我们在本文中报告了关于对互联仪病毒的数据包识别的研究进展。这项研究是Janus项目的一部分,用于构建智能防火墙。该项目的主要目的是将基于数据包的分类引擎和智能检测引擎集成到防火墙中。基于数据包的分类引擎旨在分类来自使用数据包标题和有效载荷的正常数据包分类的互联网级病毒数据包,然后智能检测引擎与分类引擎的过滤数据包流统一,该分类引擎选择它们具有高概率的概率恶意内容。要从正常数据包分类和检测恶意数据包,我们调查了当前互联网规模病毒的统计数据并分析了恶意数据包。在本文中,我们专注于使用数据包的互联网级病毒识别。此外,我们目前呈现目前的Internet级病毒统计,病毒统计,对互联网级病毒攻击的分析以及为什么需要数据包检测。最后,我们在智能防火墙中介绍基于数据包的检测组件的概念。

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