NLP/AI/Statistics

[Slideshare] Zero Wall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks 본문

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[Slideshare] Zero Wall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

Danbi Cho 2021. 4. 30. 14:04

Title: Zero wall: detecting zero-wall web attacks through encoder-decoder recurrent neural networks

Authors: Tang, R., Wang, Z., Li, Z., Meng, W., Wang, H., Li, Q., ..., Liu, Y.

Published: In IEEE INFOCOM 2020-IEEE Conference on Computer Communications, pp. 2479-2488, 2020.

Paper: ieeexplore.ieee.org/abstract/document/9155278

 

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

The following topics are dealt with: learning (artificial intelligence); optimisation; telecommunication traffic; Internet; cloud computing; computational complexity; mobile computing; resource allocation; security of data; and telecommunication network ro

ieeexplore.ieee.org

 

Slideshare: www.slideshare.net/DanbiCho2/zero-wall-detecting-zeroday-web-attacks-through-encoderdecoder-recurrent-neural-networks-242495433

 

Zero wall detecting zero-day web attacks through encoder-decoder recu…

The presentation describes the zero-day detection using encoder-decoder recurrent neural networks while getting ideas from machine translation of natural langu…

www.slideshare.net

 

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