搜索资源列表
lisys-0.1
- 基于人工免疫原理的入侵检测系统框架，有着很好的扩展性，由java 语言实现。-on the immune-based Intrusion Detection System Framework, the good scalability, java language.
MWM
- 多模式字符串匹配算法WU-MANNER算法的实现，从入侵检测系统SNORT提取出来。
ruih
- 分析了人工免疫系统的原理,简单建立了一种基于否定选择算法的网络入侵检测系统, 引入了一种用于异常事件识别的r-字符块匹配规则,并对规则存在的漏洞进行了分析。 -The paper gives a brief introduction to the principle of Immune System·In particular,the paper gives a simple NIDS model based on negative selection algorithm,intro
BM_FROM_SNORT
- BM算法的实现，从入侵检测系统snort中抽取出来的。可供BM算法的编程参考。-BM Algorithm, from the intrusion detection system snort drawn out. BM algorithm for programming reference.
wangluoanquan
- 基于数据挖掘的智能入侵检测系统研究，提出了一个基于数据挖掘、Agent技术的入侵检测系统框架-Intelligent data mining-based intrusion detection system, proposed based on data mining, Agent Intrusion Detection System
bucuo
- 针对现有入侵 检测系统的不足,对数据挖掘技术和智能检测代理应用于入侵检测系统进行了研究,提出一个基于数据挖掘技 术的智能入侵检测系统模型-Intrusion detection system for the existing shortage of data mining and intelligent detection agents used in intrusion detection systems have been studied, proposed a data min
IDS
- 一本关于入侵检测的书，内容具体，系统全面。-A book on intrusion detection, content specific, systematic and comprehensive.
PSstem
- PSO算法和神经网络的入侵检测系统设计PSO algorithm and neural network Intrusion Detection System-PSO algorithm and neural network Intrusion Detection System
nmf(train)
- 用于入侵检测系统开发的非负矩阵分解算法，用于对KDD99数据进行样本训练。-Intrusion detection system for the development of non-negative matrix factorization algorithm, the data sample used for KDD99 training.
nmf(test)
- 用于入侵检测的系统的ＮＭＦ算法，此部分为用于KDD99数据的测试部分的代码。-Intrusion detection system for NMF algorithm, this part of the test data for KDD99 part of the code.
BP-Intrusion-Detection-System
- 本文详细介绍了BP神经网络在入侵检测系统中的应用及优化。-This paper describes the application and optimization of the BP neural network intrusion detection system.
SIDSfazhaani
- 自1980年产生IDS概念以来，已经出现了基于主机和基于网络的入侵检测系统，出现了基于知识的模型识别、、异常识别和协议分析等入侵检测技术，并能够对百兆、千兆甚至更高流量的网络系统执行入侵检测。 已通过测试。 -Since 1980 to produce the IDS concept, host-based and network-based intrusion detection systems, knowledge-based model identification, anomaly
Hacker-intrusion-detection-system
- 本文的目的就是对人工神经网络进行适当的改进，将其应用于网络黑客入侵检测系统中，以提高系统的效率，包括检测速度的提高、减少漏报率和误报率-The purpose of this paper is the appropriate improvement of artificial neural networks, intrusion detection system applied to hackers in order to improve the efficiency of the system
1004-9762(2011)01-0056-05
- 基于协议分析和SVM 多分类的入侵检测系统研究*-Multi-protocol analysis and SVM based classification Intrusion Detection System*
bp
- 对kddcup数据集进行分析，通过该算法能够鉴别非法流量以及合法流量(The KDDCUP data set can be analyzed by this code, and the algorithm can identify illegal traffic and legitimate traffic)
KDD99-SVM
- 根据SVM，基于向量机算法的入侵检测系统，依托的是KDD99数据集(According to SVM, the intrusion detection system based on vector machine algorithm relies on KD99 data set.)