Description: 基于LS-SVM的入侵检测模型与实时测试平台研究-LS-SVM based intrusion detection model and real-time test platform for research Platform: |
Size: 3575808 |
Author:林辉 |
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Description: 采用one-class svm进行入侵检测的文章，比较简洁，采用online训练的方法-Using one-class svm for intrusion detection articles, more concise, using online method of training Platform: |
Size: 99328 |
Author:Yrf |
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Description: SVM用于入侵检测的PPT，适合初学者，有关于SVM理论的介绍，入门。-SVM for intrusion detection of PPT, suitable for beginners, an introduction on the SVM theory, Getting Started. Platform: |
Size: 335872 |
Author:猫猫 |
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Description: matlab源文件，对网络数据进行入侵检测，利用libsvm工具箱，对特征进行分类。内容包括：数据的归一化，参数择优（交叉验证），建立svm模型，性能评价。压缩包内有详细的说明文档。-matlab source files, network data for intrusion detection, to use libsvm toolbox, to classify the characteristics. The contents include: data normalization, parameters and selection of the best (cross-validation), the establishment of SVM model performance evaluation. Compressed within a detailed documentation. Platform: |
Size: 8890368 |
Author:畅畅 |
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Description: 随着计算机和网络技术应用的日益普及，网络安全问题
日显突出。来自计算机系统外部和内部的入侵者可能会对系
统进行破坏，或者试图窃取客户的个人信息。为了保证计算
机系统及信息的安全，网络入侵检测技术得到了发展和应用。-In order to optimize test efficiency of Intrusion Detection System(IDS) based on Support Vector Machine(SVM), a new intrusion
detection method based on Graphics Processing Unit(GPU) and feature selection is proposed. During the process of intrusion detection, GPU-based
parallel computing model is adopted and features of samples are reasonable selected. Experimental results demonstrate that the proposed method can
reduce time consumption in the training procedure of IDS and the performance for intrusion detection is kept as usual. Platform: |
Size: 223232 |
Author:闫雪 |
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Description: 为了提高网络入侵检测的正确率，提出一种改进蚁群优化算法（ACO）和支持向量机（SVM）相融合的网络入侵检测方法（ACO-SVM）。-In order to improve network intrusion detection accuracy, this paper proposes a network detection method based
on improved Ant Colony Optimization algorithm（ACO）and Support Vector Machine（ACO-SVM）. Platform: |
Size: 533504 |
Author:mafeng |
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Description: In recent years, the needs of the Internet are felt in lives of all people.
Accordingly, many studies have been done on security in virtual environment. Old
technics such as firewalls, authentication and encryption could not provide Internet
security completely; So, Intrusion detection system is created as a new solution and
a defense wall in cyber environment. Many studies were performed on different
algorithms but the results show that using machine learning technics and swarm
intelligence are very effective to reduce processing time and increase accuracy as
well. In this paper, hybrid SVM and ABC algorithms has been suggested to select
features to enhance network intrusion detection and incr Platform: |
Size: 11619328 |
Author:alqatf |
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Description: 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.) Platform: |
Size: 3457024 |
Author:JACKYANG11 |
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Search - intrusion detection SVM