"Network Anomaly Detection Based on ARFIMA Model"

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Book	Author(s)	Year	Publisher
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
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
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
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch	Sridhar Alla; Suman Kalyan Adari	1st ed.	Apress
AUV fault detection using model based observer residuals	James E. Melvin	1998	Naval Postgraduate School;Available from National Technical Information Service
Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks	Muhammad Usman; Vallipuram Muthukkumarasamy; Xin-Wen Wu; Surraya Khanum	1st ed. 2018	Springer Nature Singapore
Model based detection and reconstruction of road traffic accidents	Marcus Hiemer	2005	Universita tsverlag Karlsruhe
Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection	Mehdi Roopaei; Paul Rad	2018	Routledge
A program to compute magnetic anomaly detection probabilities	R. N. Forrest	1990	Naval Postgraduate School;Available from National Technical Information Service
A program to compute electric anomaly detection probabilities	R. N. Forrest	1988	Naval Postgraduate School;Available from National Technical Information Service
Anomaly Detection as a Service: Challenges, Advances, and Opportunities	Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo		Springer International Publishing
empirical comparison of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
Data-Driven and Model-Based Methods for Fault Detection and Diagnosis	Hazem Nounou; Majdi Mansouri; Mohamed Nounou andMohamed-Faouzi Harkat	2020	Elsevier
Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection	Yun Wang	2008	IGI Global
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	1st ed. 2020	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Network Anomaly Detection Based on ARFIMA Model	Tomasz Andrysiak; Łukasz Saganowski	Image Processing & Communications Challenges 6	Ryszard S. Choraś	2015	Springer International Publishing
Network Traffic Prediction and Anomaly Detection Based on ARFIMA Model	Tomasz Andrysiak; Łukasz Saganowski; Michał Choraś; Rafał Kozik	International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Bilbao, Spain, June 25th-27th, 2014, Proceedings	José Gaviria de la Puerta; Iván García Ferreira; Pablo Garcia Bringas; Fanny Klett; Ajith Abraham; André C.P.L.F. de Carvalho; Álvaro Herrero; Bruno Baruque; Héctor Quintián; Emilio Corchado	2014	Springer International Publishing
Network Anomaly Detection Based on WaveNet	Tero Kokkonen; Samir Puuska; Janne Alatalo; Eppu Heilimo; Antti Mäkelä	Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, St. Petersburg, Russia, August 26–28, 2019, Proceedings	Olga Galinina; Sergey Andreev; Sergey Balandin; Yevgeni Koucheryavy	1st ed. 2019	Springer International Publishing
Network Anomaly Detection Based on Probabilistic Analysis	JinSoo Park; Dong Hag Choi; You-Boo Jeon; Se Dong Min; Doo-Soon Park	Advances in Computer Science and Ubiquitous Computing: CSA-CUTE2016	James J. (Jong Hyuk) Park; Yi Pan; Gangman Yi; Vincenzo Loia	1st ed. 2017	Springer Nature Singapore
Network Anomaly Detection Based on Artificial Intelligence	Chia-Mei Chen; Wen-Ling Lo; Gu-Hsin Lai; Yu-Chen Hu	Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, November, 26-28, 2018, Sendai, Japan, Volume 2	Jeng-Shyang Pan; Akinori Ito; Pei-Wei Tsai; Lakhmi C. Jain	1st ed. 2019	Springer International Publishing
Model-Based Anomaly Detection Approaches	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Network Anomaly Detection		Encyclopedia of Big Data Technologies	Sherif Sakr; Albert Zomaya	1st ed. 2019	Springer International Publishing
Anomaly Detection on Network Traffic	Danfeng Daphne Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo	Anomaly Detection as a Service: Challenges, Advances, and Opportunities	Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo		Springer International Publishing
Immune Network Based Anomaly Detection Algorithm	Xinlei Hu; Zhengxia Wang; Yunbing Hu	Big Data and Security: Second International Conference, ICBDS 2020, Singapore, Singapore, December 20–22, 2020, Revised Selected Papers	Yuan Tian; Tinghuai Ma; Muhammad Khurram Khan	1st ed. 2021	Springer Nature Singapore
Bearing Anomaly Detection Based on Generative Adversarial Network	Jun Dai; Jun Wang; Weiguo Huang; Changqing Shen; Juanjuan Shi; Xingxing Jiang et al.	Advances in Condition Monitoring and Structural Health Monitoring: WCCM 2019	Len Gelman; Nadine Martin; Andrew A. Malcolm; Chin Kian (Edmund) Liew	1st ed. 2021	Springer Nature Singapore
Anomaly-based detection		Cybersecurity – Attack and Defense Strategies: Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals, 2nd Edition	Yuri Diogenes, Erdal Ozkaya	2019	Packt Publishing
Network-Based Anomaly Detection Using an Elman Network	En Cheng; Hai Jin; Zongfen Han; Jianhua Sun	Networking and Mobile Computing: 3rd International Conference, ICCNMC 2005, Zhangjiajie, China, August 2-4, 2005, Proceedings	Xicheng Lu; Wei Zhao	2005	Springer Berlin Heidelberg
Drowning Detection Based on Video Anomaly Detection	Xinyu He; Fei Yuan; Yi Zhu	Image and Graphics: 11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part III	Yuxin Peng; Shi-Min Hu; Moncef Gabbouj; Kun Zhou; Michael Elad; Kun Xu	1st ed. 2021	Springer International Publishing
Network Anomaly Detection Based on DSOM and ACO Clustering	Yong Feng; Jiang Zhong; Zhong-yang Xiong; Chun-xiao Ye; Kai-gui Wu	Advances in Neural Networks - ISNN 2007: 4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part II	Derong Liu; Shumin Fei; Zengguang Hou; Huaguang Zhang; Changyin Sun	2007	Springer Berlin Heidelberg
Network Anomaly Detection Based on DSOM and ACO Clusteri		Advances in Neural Networks – ISNN 2007: 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part II	Hongwei Wang, Hong Gu (auth.), Derong Liu, Shumin Fei, Zengguang Hou, Huaguang Zhang, Changyin Sun (eds.)	2007	Springer-Verlag Berlin Heidelberg
Communication Network Anomaly Detection Based on Log File Analysis	Xin Cheng; Ruizhi Wang	Rough Sets and Knowledge Technology: 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings	Duoqian Miao; Witold Pedrycz; Dominik Ślȩzak; Georg Peters; Qinghua Hu; Ruizhi Wang	2014	Springer International Publishing
Network Anomaly Detection Based on Clustering of Sequence Patterns	Sang-Kyun Noh; Yong-Min Kim; DongKook Kim; Bong-Nam Noh	Computational Science and Its Applications - ICCSA 2006: International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part II	Osvaldo Gervasi; Vipin Kumar; C.J. Kenneth Tan; David Taniar; Antonio Laganà; Youngsong Mun; Hyunseung Choo	2006	Springer Berlin Heidelberg
Anomaly Network Traffic Detection Based on Deep Transfer Learning	Pengfei Xiong; Baojiang Cui; Zishuai Cheng	Innovative Mobile and Internet Services in Ubiquitous Computing: Proceedings of the 14th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2020)	Leonard Barolli; Aneta Poniszewska-Maranda; Hyunhee Park	1st ed. 2021	Springer International Publishing
NADSR: A Network Anomaly Detection Scheme Based on Representation	Xu Liu; Xiaoqiang Di; Weiyou Liu; Xingxu Zhang; Hui Qi; Jinqing Li et al.	Knowledge Science, Engineering and Management: 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I	Gang Li; Heng Tao Shen; Ye Yuan; Xiaoyang Wang; Huawen Liu; Xiang Zhao	1st ed. 2020	Springer International Publishing
Network Traffic Anomaly Detection Based on Optimized Transfer Learning	Yonghua Huo; Libin Jiao; Ping Xie; Zhiming Fu; Zhuo Tao; Yang Yang	The 10th International Conference on Computer Engineering and Networks	Qi Liu; Xiaodong Liu; Tao Shen; Xuesong Qiu	1st ed. 2021	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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