Hybrid data mining approach for intrusion detection using modified AODV algorithm

2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE) ◽

10.1109/mite.2013.6756315 ◽

2013 ◽

Author(s):

Maheshwari Shashikant ◽

Sumit Shrivastava

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Data Mining Approach ◽

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A Hybrid Data Mining Approach for Intrusion Detection on Imbalanced NSL-KDD Dataset

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2016.070603 ◽

2016 ◽

Vol 7 (6) ◽

Author(s):

Mohammad Reza ◽

Samaneh Miri ◽

Reza Javidan

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Data Mining Approach ◽

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Data Mining Approach for Intrusion Detection

Business Intelligence - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-76508-8_15 ◽

2021 ◽

pp. 201-219

Author(s):

Mohamed Azalmad ◽

Youssef Fakir

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Data Mining Approach

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Development of a soldering quality classifier system using a hybrid data mining approach

Expert Systems with Applications ◽

10.1016/j.eswa.2011.11.097 ◽

2012 ◽

Vol 39 (5) ◽

pp. 5727-5738 ◽

Author(s):

Tsung-Nan Tsai

Keyword(s):

Data Mining ◽

Classifier System ◽

Data Mining Approach ◽

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A hybrid data-mining approach in genomics and text structures

Third IEEE International Conference on Data Mining ◽

10.1109/icdm.2003.1250999 ◽

2004 ◽

Author(s):

H.-N. Teodorescu ◽

L.I. Fira

Keyword(s):

Data Mining ◽

Data Mining Approach ◽

Text Structures ◽

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Hybrid data mining approach for pattern extraction from wafer bin map to improve yield in semiconductor manufacturing

International Journal of Production Economics ◽

10.1016/j.ijpe.2006.05.015 ◽

2007 ◽

Vol 107 (1) ◽

pp. 88-103 ◽

Author(s):

Shao-Chung Hsu ◽

Chen-Fu Chien

Keyword(s):

Data Mining ◽

Semiconductor Manufacturing ◽

Pattern Extraction ◽

Data Mining Approach ◽

Hybrid Data ◽

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A Data Mining Approach for Attribute Selection in Intrusion Detection System

International Journal of Computer Applications ◽

10.5120/ijca2017915056 ◽

2017 ◽

Vol 172 (1) ◽

pp. 11-14

Author(s):

Richa Pandey ◽

Janmejay Pant

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Attribute Selection ◽

Data Mining Approach

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A Hybrid Data Mining based Intrusion Detection System for Wireless Local Area Networks

International Journal of Computer Applications ◽

10.5120/7663-0774 ◽

2012 ◽

Vol 49 (10) ◽

pp. 19-28

Author(s):

M. Moorthy ◽

S. Sathiyabama

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Local Area Networks ◽

Wireless Local Area Networks ◽

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Intrusion Detection Using Neural Networks: A Grid Computing Based Data Mining Approach

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10684-2_87 ◽

2009 ◽

pp. 777-785 ◽

Author(s):

Marcello Castellano ◽

Giuseppe Mastronardi ◽

Gianfranco Tarricone

Keyword(s):

Data Mining ◽

Neural Networks ◽

Intrusion Detection ◽

Grid Computing ◽

Data Mining Approach

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Hybrid Data Mining to Reduce False Positive and False Negative Prediction in Intrusion Detection System

Advances in Intelligent Systems and Computing - Advances in Information and Communication Networks ◽

10.1007/978-3-030-03405-4_1 ◽

2018 ◽

pp. 1-12

Author(s):

Bala Palanisamy ◽

Biswajit Panja ◽

Priyanka Meharia

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

False Positive ◽

Intrusion Detection System ◽

Detection System ◽

False Negative ◽

Negative Prediction ◽

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A Rough Neuro Data Mining Approach for Network Intrusion Detection

Distributed Computing - IWDC 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30536-1_61 ◽

2004 ◽

pp. 534-534

Author(s):

Tarun Bhaskar ◽

B. Narasimha Kamath

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Data Mining Approach ◽

Network Intrusion

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