Data Stream Subspace Clustering for Anomalous Network Packet Detection

Journals Menu

Follow SCIRP

ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.org/journal/jis
E-mail: jis@scirp.org

"Data Stream Subspace Clustering for Anomalous Network Packet Detection"
written by Zachary Miller, Wei Hu,
published by Journal of Information Security, Vol.3 No.3, 2012

has been cited by the following article(s):

[1]	An intrusion detection algorithm based on data streams mining and cognitive computing
	2020

[2]	Haliteds: Fast and Scalable Subspace Clustering for Multidimensional Data Streams
	2016

[3]	'HALITE IND. DS': fast and scalable subspace clustering for multidimensional data streams
	2016

[4]	Anomalous network packet detection
	2015

[5]	Early detection of network element outages based on customer trouble calls
	Decision Support Systems, 2015

[6]	'HALITE IND. DS': agrupamento de dados em subespaços de séries temporais multidimensionais
	2014

[7]	Halite-ds: Agrupamento de Dados em Subespaços de Séries Temporais Multidimensionais.
	2014

[8]	Haliteds: Agrupamento de Dados em Subespa?os de Séries Temporais Multidimensionais
	2014

[9]	Panda (Processing And Analysis Of Network Data) Para La Deteccion De Ataques Syn-Flood Y Satan Sobre Flujos Continuos De Paquetes De Red Mediante …
	2013

[10]	Panda (Processing And Analysis Of Network Data) Para La Deteccion De Ataques Syn-Flood Y Satan Sobre Flujos Continuos De Paquetes De Red …
	2013

[1]	Simulation-based evaluation of advanced threat detection and response in financial industry networks using zero trust and blockchain technology Simulation Modelling Practice and Theory, 2025 DOI:10.1016/j.simpat.2024.103027

[2]	Enhancing Network Intrusion Detection System Using NDAE With Xgboost 2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), 2024 DOI:10.1109/AIBThings63359.2024.10863806

[3]	Testing data-centric services using poor quality data: from relational to NoSQL document databases Journal of the Brazilian Computer Society, 2017 DOI:10.1186/s13173-017-0063-x

[4]	Early detection of network element outages based on customer trouble calls Decision Support Systems, 2015 DOI:10.1016/j.dss.2015.02.014

Follow SCIRP