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DeepLearning_IDS-master

于 2019-06-15 发布 文件大小:11347KB
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下载积分: 1 下载次数: 2
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代码说明：

  基于深度学习的入侵检测方法，对入侵检测标准数据集进行检测分类(Detection and classification of intrusion detection standard data sets based on in-depth learning)

文件列表：

DeepLearning_IDS-master, 0 , 2017-05-07
DeepLearning_IDS-master\Autoencoders_ex, 0 , 2017-05-07
DeepLearning_IDS-master\Autoencoders_ex\IMAGES.mat, 20971720 , 2017-05-07
DeepLearning_IDS-master\Autoencoders_ex\autoencoders.py, 10655 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning, 0 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\.gitignore, 16 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\4 attacks distributions.jpg, 21520 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\KDD_Data_Labels.png, 24733 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\MLP_nets.py, 2028 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\SYS_VARS.py, 1294 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__, 0 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__\MLP_nets.cpython-35.pyc, 2320 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__\SYS_VARS.cpython-35.pyc, 1147 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__\analysis_functions.cpython-35.pyc, 3086 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__\autoencoders.cpython-35.pyc, 5471 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__\desktop.ini, 138 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__\load_dataset.cpython-35.pyc, 10281 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\__pycache__\softmax_classifier.cpython-35.pyc, 4394 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\analysis_functions.py, 3080 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\attacks_classified.jpg, 91353 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\autoencoders.py, 9383 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\desktop.ini, 138 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\load_dataset.py, 16432 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\main_dl_experiments.py, 12601 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\softmax_classifier.py, 4332 , 2017-05-07
DeepLearning_IDS-master\IDS_Deeplearning\test, 0 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex, 0 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\MLP_nets.py, 2651 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\MLP_nets_sknn.py, 21 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\__pycache__, 0 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\__pycache__\MLP_1x64.cpython-35.pyc, 1044 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\__pycache__\MLP_nets.cpython-35.pyc, 2329 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\main_mlp.py, 1034 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\mlp_example.py, 3195 , 2017-05-07
DeepLearning_IDS-master\MultiLayerPerceptron_ex\multilayer_perceptron_playfunctions.py, 1598 , 2017-05-07
DeepLearning_IDS-master\README.md, 78 , 2017-05-07

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  • flyme7 root
    说明：  146849215+8182161261281(1456216126184581hrhrqhq)
    2020-06-20 09:20:01下载
    积分：1
  • dgxfz
    等高线赋值工具，可以选用拉线方式统赋值，需指定初始等高线高程(Contour assignment tool, you can use Pull system assignment, you need to specify the initial contour elevation)
    2013-04-20 12:08:55下载
    积分：1
  • svd
    奇异值分解算法的m代码，实现了数字水印技术的嵌入及提取过程，效果不错。(Singular value decomposition algorithm m code, the realization of the digital watermark embedding and extraction technology process, good results.)
    2009-06-14 10:34:45下载
    积分：1
  • C语言 图像边缘算法
    使用C语言编写的几种图像算法，可以用于边缘模糊，抗锯齿等。(graphic using c language)
    2020-06-16 13:40:02下载
    积分：1
  • 在windows下运行RTI，除了相关的设置之外你还必须有本文件
    在windows下运行RTI，除了相关的设置之外你还必须有本文件-In the windows running under RTI, apart from the relevant settings in addition you must have this document
    2023-03-24 20:25:04下载
    积分：1
  • upload
    说明：  这些文件将在两用户非正交多址（NOMA）系统中实现用于信号检测的深度学习方法[1]。三个主要脚本分别是生成训练数据、训练神经网络和生成测试结果。该神经网络用于相位衰落的静态标量信道，用于NOMA系统中同时检测2个用户的单个子载波上的传输符号。考虑并测试了两种情况：一种是导频符号数目较少，另一种是循环前缀长度较短。在这两种情况下，深度学习方法都比传统的信道估计方法具有更强的鲁棒性。(These files are to implement the deep learning method for signal detection in a two-user non-orthogonal multiple access (NOMA) system [1]. The 3 main scripts are to generate training data, to train the neural network and to produce testing results, respectively. The neural network is trained for a static scalar channel with phase fading and is used to detect transmitted symbols on a single subcarrier for 2 users simultaneously in a NOMA system. Two scenarios are considered and tested: one is with fewer number of pilot symbols and the other is with shorter length of cyclic prefix. The deep learning method is shown to be more robust than conventional channel estimation methods in both cases.)
    2020-11-16 17:49:40下载
    积分：1
  • A large number of icons, web development, when done do not have to find a suitab...
    大量的图标，做web开发的时候不用为找不到合适的图标而范悉了-A large number of icons, web development, when done do not have to find a suitable icon and noted a Fan
    2022-08-22 17:54:49下载
    积分：1
  • 对雷达网的多机伴随式协同干扰技术研究_张养瑞
    认知电子战的研究文章,,多机伴随干扰技术(Research Articles on Cognitive Electronic Warfare)
    2021-04-14 21:28:55下载
    积分：1
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    国外简约时尚大气jquery幻灯片插件，移至你的网页，用来实现图片推荐、精品推荐版块，相当合适了。本图片切换采用滚动切换的方式，点击缩略图后，大图片左右滚动出现，文字描述则上下滚动出现，形成了极具动感效果的图片展示特效，而且兼容各大浏览器。
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    说明：  5432-mcu屏驱动,BOE玻璃，库存玻璃，库存IC 已经在记录仪验证(5432-mcu lcd driver)
    2019-01-07 10:44:51下载
    积分：1
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