Zheng, 2020 - Google Patents
Intrusion detection based on convolutional neural networkZheng, 2020
- Document ID
- 14153815888081603628
- Author
- Zheng W
- Publication year
- Publication venue
- 2020 international conference on computer engineering and application (ICCEA)
External Links
Snippet
To solve the problem of low accuracy and low adaptability of traditional intrusion detection technology, we propose an intrusion detection algorithm based on convolutional neural network. In this paper, two convolution layers and pooling layers are used, and a batch …
- 238000001514 detection method 0 title abstract description 44
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
- G06N3/0472—Architectures, e.g. interconnection topology using probabilistic elements, e.g. p-rams, stochastic processors
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