Patent
A DDoS attack detection method
Tian Qiuting,Han Dezhi,Wang Jun,Bi Kun +3 more
- 25 Jan 2019
4
TL;DR: Wang et al. as mentioned in this paper proposed a DDoS attack detection method, which comprises the following steps: collecting data streams in a network and preprocessing the collected data streams; optimizing the weights and thresholds of BP neural network by using the global unbiased search strategy bee colony algorithm, and training the DDoS detection model with the preprocessed data.
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Abstract: The invention discloses a DDoS attack detection method, which comprises the following steps: collecting data streams in a network and preprocessing the collected data streams; optimizing the weights and thresholds of BP neural network by using the global unbiased search strategy bee colony algorithm, and training the DDoS attack detection model with the preprocessed data; performing on-line detection of anomaly data streams based on the training DDoS attack detection model; Judging whether the detected abnormal data stream is an abnormal data stream of DDoS attack, if so, processing the abnormal data stream of DDoS attack, otherwise, processing other abnormal data streams; All abnormal data streams detected are handled with exception, and an early warning is given. The invention has the advantages that: the problems that the traditional BP neural network algorithm is easy to fall into the local optimum and the convergence speed is slow are improved; The accuracy of DDoS attack detection is improved. The generalization ability of the detection model is improved.
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Citations
Patent
data flow online abnormity detection method based on integrated learning
Lei Song,Haoran Liang,Taisheng Zheng,Lili Guo,Li Xuzhi +4 more
- 31 May 2019
TL;DR: In this paper, a data flow online abnormity detection method based on integrated learning is proposed, where a Bagging integrated learning framework is applied, a stable LSTM prediction model is obtained through multiple times of iterative training of an LSTMs model, and the depth of the abnormal sample is identified; Meanwhile, a payload data flow is used as input.
4
Patent
monitoring harmful gas prediction method and system based on an artificial bee colony and a neural network
Lyu Jing
- 21 Jun 2019
TL;DR: In this article, a monitoring harmful gas prediction method based on an artificial bee colony and a neural network is proposed, which consists of the steps of obtaining gas monitoring data; segmenting the gas data according to time periods to obtain a gas data set of each time period; judging outliers in the gas dataset, converting all outliers into normal data values, removing null points and over-range points in the data set, and forming a new gas dataset.
1
Patent
Microgrid attack identification method based on convolutional neural network and microgrid coordination controller
Liu Yongliang,Xu Chengbin,He Shengguo,Tong Qiang,Chen Rui,Ding Kai,Chen Yuansheng,Zhan Jiewen,Wang Qiangang,Zhu Xiaofan,Chang Hongliang,Wang Huiqin,Deng Wei,He Hongyan,Huang Zhiwei,Xiao Shengyuan,Xi Wei,Kuang Xiaoyun,Yao Hao,Yu Yang,Jian Ganyang,Yang Yiwei +21 more
- 12 May 2020
TL;DR: In this paper, a microgrid attack identification method based on a convolutional neural network is proposed, which comprises the steps of collecting a data stream; preprocessing the acquired data streams; inputting the preprocessed data flow into a CNN model for real-time detection and classification; outputting a classification result, wherein the classification comprises a normal class and an abnormal class, and the classification result is the classification condition of each piece of data in the data stream, intercepting or forwarding the data flow according to the classification results; when the abnormal class exists in the classification
Patent
Gas calibration classification method and system based on artificial bee colony and neural network
Lyu Jing
- 28 Jun 2019
TL;DR: In this article, a gas calibration classification method based on an artificial bee colony and a neural network was proposed, and the predicted trend containing harmful gas can be predicted accurately; and the prediction result is accurate.
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Patent
Method for detecting DDoS (Distributed Denial of Service) attack in big data environment
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Patent
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Patent
CFA algorithm and BP neural network-based invasion detection method
Ling Jie,Huang Sheng,Luo Yu,Xie Rui,Gong Yi +4 more
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TL;DR: In this paper, a CFA algorithm and BP neural network-based invasion detection method was proposed, which comprises the following steps of: encoding operation parameters of a BP Neural Network as cell individuals in a cFA algorithm; taking an error function as an adaptive value function of the CFA algorithms; after carrying out iteration for multiple times, selecting the parameter with the optimum fitness as an initial weight value and threshold value of the BP neural networks to carry out training; and finally applied the trained BP neural Network into a classifier for invasion detection.
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Patent
Method and device for detecting intrusion on basis of weighted distance measurement and matrix decomposition
Zhang Shuang,Zhang Yong,Ning Li +2 more
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TL;DR: In this paper, the authors proposed a method and a device for detecting intrusion on the basis of weighted distance measurement and matrix decomposition, which is applicable to the technical field of information safety.
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