数据链路层网络攻击分析及防范

Ravi Shanker, Aman Singh
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引用次数: 1

摘要

各种数据包捕获工具可以捕获数据集形式的数据包,现在可以使用几个知名的数据集来对入侵检测系统的网络攻击进行基准测试,并吸引研究人员进一步分析这些攻击,以备将来的攻击。这些数据集包含几个参数,可用于识别跨层攻击。这里的交叉层是指数据链路层、网络层、传输层和应用层。这些数据集可用于新型攻击的识别和自动化研究。本文重点研究了数据链路层网络攻击的类型和分类。后期分析将探讨使用Snort作为入侵检测工具识别数据链路层攻击的可能性。Snort通常在网络层及以上工作,因此并非所有数据链路层攻击都可以由IDS识别。对于目前的工作,将把已经研究的各种解决方案放在一起,借助Snort分析数据链路层的攻击。此分析将有助于理解使用Snort在数据链路层组合各种攻击的可能性,或者提供各种研究人员已经提出的解决方案。
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Analysis of Network Attacks at Data Link Layer and its Mitigation
Various packet capturing tools are available to capture packets in the form of datasets and several well-known datasets available now a day for benchmarking the network attacks for intrusion detection system and attracted the researchers to further analyse these attacks for future attacks also. These datasets contain several parameters that can be utilized for identification of attack at cross layers. Here the cross layer refers the data link layer, network layer, transport layer and application layer. These datasets can be used in research for identification and automation of novel attack. This paper concentrates on the attack types and classification of network attacks on data link layer. Post analysis will investigate the possibility of using Snort as intrusion detection tool for identifying attack at data link layer. Snort generally works at network layer and above so not all data link layer attack can be identified by IDS. For the current work a various solution already researched will be put together to analyse attack at data link layer with the help of Snort. This analysis will help in understanding the possibility to put together various attack at data link layer using Snort or provide already suggested solution done by various researcher.
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