Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP
type: Item
instance of: scholarly article
title: Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP
zbMATH Open document ID: 1497.68426
author: Mariam Kiran
author: Cong Wang
author: George Papadimitriou
author: Anirban Mandal
author: Ewa Deelman
published in: Machine Learning
publication date: 2020-07-27T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68M10
zbMATH DE Number: 7224994
zbMATH Keywords: autoencoders
zbMATH Keywords: isolation forest
zbMATH Keywords: network traffic
zbMATH Keywords: PCA
MaRDI profile type: Publication
full work available at URL: s10994-020-05870-y
OpenAlex ID: W3011778916
cites work: Learning Deep Architectures for AI
cites work: Q4413108
cites work: Passive analysis of TCP anomalies
DOI: 10.1007/S10994-020-05870-Y
description: scientific article; zbMATH DE number 7224994