"Adaptive Ensemble Learning with Concept Drift Detection for Intrusion Detection"

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Book	Author(s)	Year	Publisher
Intrusion Detection with Snort	Jack Koziol	2003	Sams Publishing
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Intrusion Detection	Rebecca Gurley Bace	December 21, 1999	Sams
Intrusion Detection Systems	Roberto Di Pietro; Luigi V. Mancini	2008	Springer US
Intrusion Detection Systems	Luigi V. Mancini	Nov 23, 2010	Springer
SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention	Abdulmohsen Almalawi; Zahir Tari; Adil Fahad; Xun Yi	2021	Wiley Data and Cybersecurity
Particle Detection with Drift Chambers	Walter Blum; Luigi Rolandi	1993	Springer Berlin Heidelberg
Particle Detection with Drift Chambers	Walter Blum; Werner Riegler; Luigi Rolandi	2nd ed. 2008	Springer Berlin Heidelberg
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Privacy-Respecting Intrusion Detection	Ulrich Flegel	2007	Springer US
Intrusion Detection and Prevention	Carl Endorf, Gene Schultz, Jim Mellander	2003	McGraw-Hill Osborne Media
Intrusion Detection and Prevention for Mobile Ecosystems	Georgios Kambourakis; Asaf Shabtai; Constantinos Kolias; Dimitrios Damopoulos	2017	Routledge
Understanding Intrusion Detection through Visualization	Stefan Axelsson; David Sands	2006	Springer US
Snort Intrusion Detection 2. 0	Jay Beale; James C. Foster; Jeffrey Posluns and Brian Caswell	2003	Syngress
Cisco Secure Intrusion Detection System	Earl Carter	October 2001	Cisco Press
Detection Intrusion Reseaux CP Reference	Novak; Northcutt	January 24, 2001	Simon et Schuster Macmillan France
Datenschutzorientiertes Intrusion Detection: Grundlagen, Realisierung, Normung	Michael Sobirey	1999	Vieweg+Teubner Verlag
Intrusion Detection: A Data Mining Approach	Nandita Sengupta; Jaya Sil	1st ed. 2020	Springer Nature Singapore
OSSEC Host-Based Intrusion Detection Guide	Andrew Hay; Daniel Cid; Creator of OSSEC; Rory Bary and Stephen Northcutt	2008	Syngress
Snort Intrusion Detection and Prevention Toolkit	Jay Beale; Members of the Snort Team; Andrew R. Baker; Joel Esler; Stephen Northcutt; Toby Kohlenberg; Raven Alder; Dr. Everett F. (Skip) Carter; Jr; James C. Foster; Matt Jonkman; Raffael Marty and Eric Seagren	2006	Syngress
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Adaptive Ensemble Learning with Concept Drift Detection for Intrusion Detection	Deepa Mulimani; Shashikumar G. Totad; Prakashgoud Patil; Shivananda V. Seeri	Data Engineering and Intelligent Computing: Proceedings of ICICC 2020	Vikrant Bhateja; Suresh Chandra Satapathy; Carlos M. Travieso-González; V. N. Manjunath Aradhya	1st ed. 2021	Springer Nature Singapore
Learning with Drift Detection	João Gama; Pedro Medas; Gladys Castillo; Pedro Rodrigues	Advances in Artificial Intelligence - SBIA 2004: 17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, September 29-October 1, 2004, Proceedings	Ana L. C. Bazzan; Sofiane Labidi	2004	Springer Berlin Heidelberg
Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift	Teo Susnjak; Andre L. C. Barczak; Ken A. Hawick	Neural Information Processing. Theory and Algorithms: 17th International Conference, ICONIP 2010, Sydney, Australia, November 21-25, 2010, Proceedings, Part I	Kok Wai Wong; B. Sumudu U. Mendis; Abdesselam Bouzerdoum	2011	Springer Berlin Heidelberg
Deep Network for Network Intrusion with Concept Drift	Shivam Prasad; Osho Agyeya; Prateek Singh; Shridevi S. Krishnakumar	Inventive Communication and Computational Technologies: Proceedings of ICICCT 2020	G. Ranganathan; Joy Chen; Álvaro Rocha	1st ed. 2021	Springer Nature Singapore
Concept drift and drift detection		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection	Anastasios Panagiotis Psathas; Lazaros Iliadis; Antonios Papaleonidas; Dimitris Bountas	Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021	Lazaros Iliadis; John Macintyre; Chrisina Jayne; Elias Pimenidis	1st ed. 2021	Springer International Publishing
Learning with Local Drift Detection	João Gama; Gladys Castillo	Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi' an, China, August 14-16, 2006, Proceedings	Xue Li; Osmar R. Zaiane; Zhanhuai Li	2006	Springer Berlin Heidelberg
Learning Classifier Systems for Adaptive Learning of Intrusion Detection System	Chang Seok Lee; Sung Bae Cho	International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding	Hilde Pérez García; Javier Alfonso-Cendón; Lidia Sánchez González; Héctor Quintián; Emilio Corchado	1st ed. 2018	Springer International Publishing
Group Sparse Ensemble Learning for Visual Concept Detection	Yongqing Sun; Kyoko Sudo; Yukinobu Taniguchi	Advances in Multimedia Information Processing - PCM 2013: 14th Pacific-Rim Conference on Multimedia, Nanjing, China, December 13-16, 2013, Proceedings	Benoit Huet; Chong-Wah Ngo; Jinhui Tang; Zhi-Hua Zhou; Alexander G. Hauptmann; Shuicheng Yan	2013	Springer International Publishing
GEP-Based Ensemble Classifier with Drift-Detection	Joanna Jȩdrzejowicz; Piotr Jȩdrzejowicz	Artificial Intelligence XXXV: 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings	Max Bramer; Miltos Petridis	1st ed. 2018	Springer International Publishing
Designing Scalable Intrusion Detection Systems with Stacking Based Ensemble Learning	A. Sujan Reddy; S. Akashdeep; S. Sowmya Kamath; Bhawana Rudra	Intelligent Systems Design and Applications: 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021) Held During December 13–15, 2021	Ajith Abraham; Niketa Gandhi; Thomas Hanne; Tzung-Pei Hong; Tatiane Nogueira Rios; Weiping Ding	1st ed. 2022	Springer International Publishing
Machine Learning for Intrusion Detection		Mining Massive Data Sets for Security: Advances in Data Mining, Search, Social Networks and Text Mining, and their Applications to Security - Volume 19. . . Information and Communication Security)	F. Fogelman-Soulie	2008	IOS Press
Adaptive Clustering for Network Intrusion Detection	Joshua Oldmeadow; Siddarth Ravinutala; Christopher Leckie	Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings	Honghua Dai; Ramakrishnan Srikant; Chengqi Zhang	2004	Springer Berlin Heidelberg
65 Concept drift detection		Handbook of Big Data Analytics: Methodologies (Computing and Networks)	Vadlamani Ravi (editor), Aswani Kumar Cherukuri (editor)	2021	The Institution of Engineering and Technology
Accuracy Updated Ensemble for Data Streams with Concept Drift	Dariusz Brzeziński; Jerzy Stefanowski	Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II	Emilio Corchado; Marek Kurzynski; Michal Wozniak	2011	Springer Berlin Heidelberg
Ensemble Classifier for Concept Drift Data Stream	S. Senthamilarasu; M. Hemalatha	Informatics and Communication Technologies for Societal Development: Proceedings of ICICTS 2014	Elijah Blessing Rajsingh; Anand Bhojan; J. Dinesh Peter	2015	Springer India
Concept Drift Adaptive Physical Event Detection for Social Media Streams	Abhijit Suprem; Aibek Musaev; Calton Pu	Services – SERVICES 2019: 15th World Congress, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings	Yunni Xia; Liang-Jie Zhang	1st ed. 2019	Springer International Publishing
Feature Selection Using Fast Ensemble Learning for Network Intrusion Detection	Ujjwal Pasupulety; C. D. Adwaith; Suraj Hegde; Nagamma Patil	Intelligent Systems Design and Applications: 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) held in Vellore, India, December 6-8, 2018, Volume 1	Ajith Abraham; Aswani Kumar Cherukuri; Patricia Melin; Niketa Gandhi	1st ed. 2020	Springer International Publishing
GP Ensemble for Distributed Intrusion Detection Systems	Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano	Pattern Recognition and Data Mining: Third International Conference on Advances in Pattern Recognition, ICAR 2005, Bath, UK, August 22-25, 2005, Part I	Sameer Singh; Maneesha Singh; Chid Apte; Petra Perner	2005	Springer Berlin Heidelberg
09 Ensemble Learning with LDA Topic Models for Visual Concept Detection		Multimedia - A Multidisciplinary Appr. to Complex Issues	I. Karydis	2012	Intech
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