Description: 这个是人工免疫系统中的反向选择算法(Negative Selection Aglorithm)的编程实例,它主要用于异常检测方面。请多指教！-this artificial immune system is the inverse algorithm (A Negative Selection glorithm) programming examples, it was mainly used anomaly detection area. Please advise! Platform: |
Size: 1024 |
Author:HaicoLi |
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Description: 在现有的单层马尔科夫链异常检测模型基础上,提出一种崭新的两层模型.将性质上有较大差异的两个过程,不同的请求和同一请求内的系统调用序列,分为两层,分别用不同的马尔可夫链来处理.两层结构可以更准确地刻画被保护服务进程的动态行为,因而能较大地提高异常的识别率,降低误警报率.-In the existing single-layer Markov chain model for anomaly detection based on a new two-tier model. Will have a larger difference in the nature of the two processes, different requests and requests within the same system call sequence, sub- for a two-tier, respectively, in different Markov chain to deal with it. a two-tier structure can be more accurately portray the process of protection services by the dynamic behavior, which can greatly improve the identification of abnormal rate and reduce false alarm rate. Platform: |
Size: 356352 |
Author:杨奇 |
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Description: 基于背景减除的时间差分法，可以有效的提取出前景，并且可以进行异常检测-Background subtraction based on the time difference method, can effectively extract the prospects, and anomaly detection can be Platform: |
Size: 6846464 |
Author:wangzhen |
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Description: 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。- In order to improve the detection rate for anomaly state and reduce the false positive rate for normal state in the network anomaly detection, a novel method of network anomaly detection based on constructing wavelet neural network (WNN) using quantum-behaved particle swarm optimization (QPSO) algorithm was proposed. The WNN was trained by QPSO. Platform: |
Size: 1024 |
Author:liang |
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Description: 此算法使用于单波段或者多波段图像中的非监督异常检测，性能很好~-The algorithm used in single-band or multi-band image unsupervised anomaly detection, performance very good ~ Platform: |
Size: 1024 |
Author:朱阳阳 |
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Description: 一篇关于DDOS异常检测，找到IP攻击源的论文。对学习网络安全的很有帮助-Anomaly detection on a DDOS to find the source IP attack on the papers. Very helpful for learning network security Platform: |
Size: 408576 |
Author:yihoumei |
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Description: A new system for web attack detection is presented. It
follows the anomaly-based approach, therefore known and
unknown attacks can be detected. The system relies on a XML file
to classify the incoming requests as normal or anomalous. The
XML file, which is built from only normal traffic, contains a
description of the normal behavior of the target web application
statistically characterized. Any request which deviates from the
normal behavior is considered an attack. The system has been
applied to protect a real web application. An increasing number of
training requests have been used to train the system. Experiments
show that when the XML file has enough information to closely
characterize the normal behavior of the target web application, a
very high detection rate is reached while the false alarm rate
remains very low. Platform: |
Size: 688128 |
Author:keerthi |
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Description: A taxonomy was developed by Axelsson to define the space of intrusion detection technology and classify IDSs.
The taxonomy categorizes IDSs by their detection principle and their operational aspects. The two main
categories of detection principles are signature detection and anomaly detection. The remainder of this paper
will compare the two categories of detection principles and describe a new type of anomaly detection based on
protocol standards. While the taxonomy applies to both host-based and network-based IDSs,
and more particularly protocol anomaly filters.
This is the result of research work done at Defcom Sweden, Stockholm. Platform: |
Size: 82944 |
Author:sinsin |
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Description: 结合小波变换和香农定理，介绍了小波时间熵算法，并引用于信号异常检测中-Wavelet transform and the Shannon theorem, introduced the wavelet time entropy algorithm, and applied Signal Anomaly Detection Platform: |
Size: 256000 |
Author:jayzilong |
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Description: 这是一个基于波段子集特征融合的高光谱图像异常检测算法，研究高光谱目标检测的同学可以参考一下。-This is an image-based anomaly detection algorithm for hyperspectral subset of feature fusion band, hyperspectral target detection research students can refer to it. Platform: |
Size: 296960 |
Author:wudaoer |
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Description: 异常检测算法，包括基于聚类的、基于分类的、基于ocsvm的异常检测算法-Anomaly detection algorithms, including those based on clustering, based on the classification based anomaly detection algorithm ocsvm Platform: |
Size: 1024 |
Author:李东 |
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Description: 异常检测和推荐系统的MATLAB实现案例，非常好的机器算法应用学习资料-MATLAB realization Case anomaly detection and recommendation system, a very good machine algorithm learning materials Platform: |
Size: 808960 |
Author:不错哦matlab |
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