"Network Anomaly Detection: A Machine Learning Perspective"

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Book	Author(s)	Year	Publisher
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Control Charts and Machine Learning for Anomaly Detection in Manufacturing	Kim Phuc Tran	1st ed. 2022	Springer International Publishing
Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video	Olga Isupova	1st ed. 2018	Springer International Publishing
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Machine learning: a probabilistic perspective	Kevin P Murphy	2012	MIT Press
Machine learning: a probabilistic perspective /	Murphy, Kevin P.,	©2012.	MIT Press,
Network traffic anomaly detection and prevention: concepts, techniques, and tools	Bhattacharyya, Dhruba K.; Bhuyan, Monowar H.; Kalita, Jugal Kumar	2017	Springer
Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools	Monowar H. Bhuyan; Dhruba K. Bhattacharyya; Jugal K. Kalita	1st ed. 2017	Springer International Publishing
Tuning Metaheuristics: A Machine Learning Perspective	Mauro Birattari	2009	Springer Berlin Heidelberg
Moving Objects Detection Using Machine Learning	Navneet Ghedia; Chandresh Vithalani; Ashish M. Kothari; Rohit M. Thanki	1st ed. 2022	Springer International Publishing
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Anomaly Detection: Techniques and Applications	Saira Banu, Shriram Raghunathan, Dinesh Mavaluru, A. Syed Mustafa	2021	Nova Science
Machine Learning: An Algorithmic Perspective	Stephen Marsland	2014	Routledge
Structural Health Monitoring - A Machine Learning Perspective	Charles R. Farrar	2012	John Wiley & Sons
Visual Saliency Computation: A Machine Learning Perspective	Jia Li; Wen Gao	2014	Springer International Publishing
Machine Learning and IoT: A Biological Perspective	Shampa Sen; Leonid Datta; Sayak Mitra	2018	Routledge
Machine Learning with Health Care Perspective: Machine Learning and Healthcare	Vishal Jain; Jyotir Moy Chatterjee	1st ed. 2020	Springer International Publishing
A Machine-Learning Approach to Phishing Detection and Defense	I.S. Amiri; O.A. Akanbi and E. Fazeldehkordi	2015	Syngress
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine Learning: Anomaly Detection		Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things	Michael G. Pecht; Myeongsu Kang	2019	Wiley-IEEE Press
Machine Learning for Anomaly Detection	Sumeet Dua; Xian Du	Data Mining and Machine Learning in Cybersecurity	Sumeet Dua; Xian Du	2011	Routledge
Machine Learning-Driven Algorithms for Network Anomaly Detection	Md. Sirajul Islam; Mohammad Abdur Rouf; A. H. M. Shahariar Parvez; Prajoy Podder	Inventive Computation and Information Technologies: Proceedings of ICICIT 2021	S. Smys; Valentina Emilia Balas; Ram Palanisamy	1st ed. 2022	Springer Nature Singapore
A Machine Learning Approach for Idle State Network Anomaly Detection	T. P. Fowdur; Y. Beeharry; K. Aucklah	Smart and Sustainable Engineering for Next Generation Applications: Proceeding of the Second International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM 2018), November 28–30, 2018, Mauritius	Peter Fleming; Beatrys Margaretha Lacquet; Saeid Sanei; Kalyanmoy Deb; Andreas Jakobsson	1st ed. 2019	Springer International Publishing
Anomaly detection using machine learning algorithms	Y. Pant; A. Cheema; B. Negi	Smart Computing: Proceedings of the 1st International Conference on Smart Machine Intelligence and Real-Time Computing (SmartCom 2020), 26-27 June 2020, Pauri, Garhwal, Uttarakhand, India	Mohammad Ayoub Khan; Sanjay Gairola; Bhola Jha; Pushkar Praveen	2021	Routledge
4 Machine Learning for Anomaly Detection		Security in Autonomous Driving	Obaid Ur-Rehman; Natasa Zivic	2020	De Gruyter Oldenbourg
Chapter 11: Machine Learning Anomaly Detection		Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization	Stefanie Molin	2021	Packt Publishing
Network Anomaly Detection		Encyclopedia of Big Data Technologies	Sherif Sakr; Albert Zomaya	1st ed. 2019	Springer International Publishing
A Novel Algorithm for Network Anomaly Detection Using Adaptive Machine Learning	D. Ashok Kumar; S. R. Venugopalan	Progress in Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2016, Volume 2	Khalid Saeed; Nabendu Chaki; Bibudhendu Pati; Sambit Bakshi; Durga Prasad Mohapatra	1st ed. 2018	Springer Nature Singapore
Attacks and Anomaly Detection in IoT Network Using Machine Learning	Amani Alzahrani; Tahani Baabdullah; Danda B. Rawat	HCI International 2021 - Posters: 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part II	Constantine Stephanidis; Margherita Antona; Stavroula Ntoa	1st ed. 2021	Springer International Publishing
Anomaly Detection in IoT Using Machine Learning	Saadat Hasan Khan; Aritro Roy Arko; Amitabha Chakrabarty	Artificial Intelligence for Cloud and Edge Computing	Sanjay Misra; Amit Kumar Tyagi; Vincenzo Piuri; Lalit Garg	1st ed. 2022	Springer International Publishing
Applications of Machine Learning in Anomaly Detection	Gadilli Sai Nikhil; Arun Sekar Rajasekaran; Madupathi Parimala; S. Velliangiri	Computational Intelligence in Machine Learning: Select Proceedings of ICCIML 2021	Amit Kumar; Jacek M. Zurada; Vinit Kumar Gunjan; Raman Balasubramanian	1st ed. 2022	Springer Nature Singapore
Anomaly Detection Using Unsupervised Machine Learning Algorithms	Pavitra Kadiyala; K. V. Shanmukhasai; Sai Shashank Budem; Praveen Kumar Reddy Maddikunta	Deep Learning for Security and Privacy Preservation in IoT	Aaisha Makkar; Neeraj Kumar	1st ed. 2021	Springer Nature Singapore
Machine Learning for Network Intrusion Detection	Zonghua Zhang	Encyclopedia of Cryptography, Security and Privacy	Sushil Jajodia; Pierangela Samarati; Moti Yung	0th ed. 2019	Springer Berlin Heidelberg
Network Anomaly Detection Using Federated Learning and Transfer Learning	Ying Zhao; Junjun Chen; Qianling Guo; Jian Teng; Di Wu	Security and Privacy in Digital Economy: First International Conference, SPDE 2020, Quzhou, China, October 30 – November 1, 2020, Proceedings	Shui Yu; Peter Mueller; Jiangbo Qian	1st ed. 2020	Springer Nature Singapore
Dictionary Learning Anomaly Detection		Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data	Ankur A. Patel	2019	O'Reilly Media
Anomaly Detection in Drones with Machine Learning Algorithms	Soumya Shaw; Kartik Joshi; Akhil Pathak; Abitha K. Thyagarajan; G. Vidya; Rahul Hemal Shah et al.	Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2020	A. Sivasubramanian; Prasad N. Shastry; Pua Chang Hong	1st ed. 2022	Springer Nature Singapore
Anomaly Detection in Cellular IoT with Machine Learning	Bernardo Santos; Imran Qayyrm Khan; Bruno Dzogovic; Boning Feng; Van Thuan Do; Niels Jacot et al.	Smart Objects and Technologies for Social Good: 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15–17, 2021, Proceedings	Ivan Miguel Pires; Susanna Spinsante; Eftim Zdravevski; Petre Lameski	1st ed. 2021	Springer International Publishing
Anomaly-Based Web Attacks Detection Using Machine Learning	Mohammed Hashem Almourish; Osamah A. I. Abduljalil; Abdulfattah Esmail Ba Alawi	Proceedings of 2nd International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2021)	Prasant Kumar Pattnaik; Mangal Sain; Ahmed A. Al-Absi	1st ed. 2022	Springer Nature Singapore
9 - Machine learning for intrusion and anomaly detection		Network Security: A Decision and Game-Theoretic Approach	Tansu Alpcan; Tamer Başar	2010-10	Cambridge University Press
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Showing 1 to 20 of 100 entries

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