Anomalous Network Packet Detection Using Data Stream Mining

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Journal of Information Security

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

Google-based Impact Factor: 3.79
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"Anomalous Network Packet Detection Using Data Stream Mining"
written by Zachary Miller, William Deitrick, Wei Hu,
published by Journal of Information Security, Vol.2 No.4, 2011

has been cited by the following article(s):

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CrossRef

[1]	Unsupervised anomaly detection: methods and applications
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[2]	Analysis of Darknet Traffic for Criminal Activities Detection Using TF-IDF and Light Gradient Boosted Machine Learning Algorithm
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[3]	Online Anomaly Detection Leveraging Stream-Based Clustering and Real-Time Telemetry
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[4]	Real-time anomaly detection and mitigation using streaming telemetry in SDN
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[5]	Mobile Agents for Detecting Network Attacks Using Timing Covert Channels.
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[6]	Anomaly Detection System for Internet Traffic based on TF-IDF and BFR Clustering Algorithms
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[7]	Mobile Agents for Detecting Network Attacks Using Timing Covert Channels
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[8]	NEW APPROACH FOR CLASSIFICATION R2L AND U2R ATTACKS IN INTRUSION DETECTION SYSTEM
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[9]	The use of Histogram Analysis to Support Fast Selection of Predictive Features for Data Stream Mining
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[10]	Minimal Triangle Area Mahalanobis Distance for Stream Homogeneous Group-based DDoS Classification.
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[11]	Telemetry-based stream-learning of BGP anomalies
	Big-DAMA 2018 Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018

[12]	Long Short-Term Memory-Based Recurrent Neural Network Approach for Intrusion Detection
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[13]	Efficient intrusion detection using machine learning techniques
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[14]	Outlier detection in the context of data stream mining: survey of approaches and cloud computing case study
	2017

[15]	Design of anomaly packet detection framework by data mining algorithm for network flow
	2017

[16]	Multistage process to decrease processing time in intrusion prevention system
	2017

[17]	Temporal Data Streams for Anomaly Intrusion Detection (Extended Version)
	2016

[18]	Anomaly Detection in Network Traffic Using Stream Data Mining: Review
	2016

[19]	A Survey on Outlier Detection in the Context of Stream Mining: Review of Existing Approaches and Recommadations
	Intelligent Systems Design and Applications, 2016

[20]	Anomalous network packet detection
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[21]	Statistical analysis on aggregate and flow based traffic features distribution
	2015 1st International Conference on Wireless and Telematics (ICWT), 2015

[22]	Data mining framework for computer Network security Management
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[23]	Online Network Intrusion Detection System Using VFDT
	S Gore, P Gupta - ijetae.com, 2014

[24]	ТЕНДЕНЦИИ РАЗВИТИЯ ТЕХНОЛОГИИ ОБНАРУЖЕНИЯ АНОМАЛИЙ СЕТЕВОГО ТРАФИКА
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[25]	Anomaly detection system by mining frequent pattern using data mining algorithm from network flow
	2014

[26]	Online network intrusion detection system using temporal logic and stream data processing
	NULL 2013

[27]	Data Stream Subspace Clustering for Anomalous Network Packet Detection
	Journal of Information Security, 2012

[28]	Data Stream Subspace Clustering for Anomalous Network Packet Detection.
	2012

[1]	Online Anomaly Detection Leveraging Stream-Based Clustering and Real-Time Telemetry IEEE Transactions on Network and Service Management, 2021 DOI:10.1109/TNSM.2020.3037019

[2]	Telemetry-based stream-learning of BGP anomalies Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018 DOI:10.1145/3229607.3229611

[3]	Telemetry-based stream-learning of BGP anomalies Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks - Big-DAMA '18, 2018 DOI:10.1145/3229607.3229611

[4]	The use of Histogram Analysis to Support Fast Selection of Predictive Features for Data Stream Mining 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), 2018 DOI:10.1109/ICABCD.2018.8465411

[5]	Context-aware multimodal recommendations of multimedia data in cyber situational awareness Multimedia Tools and Applications, 2017 DOI:10.1007/s11042-017-4681-2

[6]	Design of anomaly packet detection framework by data mining algorithm for network flow 2017 International Conference on Computational Intelligence in Data Science(ICCIDS), 2017 DOI:10.1109/ICCIDS.2017.8272665

[7]	Multistage process to decrease processing time in intrusion prevention system 2017 3rd International Conference on Wireless and Telematics (ICWT), 2017 DOI:10.1109/ICWT.2017.8284138

[8]	Statistical analysis on aggregate and flow based traffic features distribution 2015 1st International Conference on Wireless and Telematics (ICWT), 2015 DOI:10.1109/ICWT.2015.7449255

[9]	Data Stream Subspace Clustering for Anomalous Network Packet Detection Journal of Information Security, 2012 DOI:10.4236/jis.2012.33027

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