An Improved Live Anomaly Detection System (I-LADS) based on Deep Learning Algorithms

Proceedings of the 18th International Conference on Security and Cryptography ◽

10.5220/0010573705680575 ◽

2021 ◽

Author(s):

Gustavo Gonzalez-Granadillo ◽

Alejandro Bedoya ◽

Rodrigo Diaz

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection System ◽

Learning Algorithms ◽

Anomaly Detection System

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An Improved Live Anomaly Detection System (I-LADS) based on Deep Learning Algorithms

10.5220/0010573700002998 ◽

2021 ◽

Author(s):

Gustavo Gonzalez-Granadillo ◽

Alejandro Bedoya ◽

Rodrigo Diaz

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection System ◽

Learning Algorithms ◽

Anomaly Detection System

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A Novel Missing Data Imputation Algorithm for Deep Learning-Based Anomaly Detection System in IIoT Networks

10.1201/9781003156123-2 ◽

2021 ◽

pp. 27-46

Author(s):

Ancy Jose ◽

S.V. Annlin Jeba ◽

Beulah Joslyn Jose

Keyword(s):

Deep Learning ◽

Missing Data ◽

Anomaly Detection ◽

Detection System ◽

Data Imputation ◽

Missing Data Imputation ◽

Anomaly Detection System

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Dynamic management of a deep learning-based anomaly detection system for 5G networks

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-018-0813-4 ◽

2018 ◽

Vol 10 (8) ◽

pp. 3083-3097 ◽

Cited By ~ 13

Author(s):

Lorenzo Fernández Maimó ◽

Alberto Huertas Celdrán ◽

Manuel Gil Pérez ◽

Félix J. García Clemente ◽

Gregorio Martínez Pérez

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection System ◽

5G Networks ◽

Dynamic Management ◽

Anomaly Detection System

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Ensembled Deep Learning Approach for Maritime Anomaly Detection System

Proceedings of ICETIT 2019 - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-030-30577-2_77 ◽

2019 ◽

pp. 862-869 ◽

Cited By ~ 1

Author(s):

Ximi Hoque ◽

Sudhir Kumar Sharma

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection System ◽

Learning Approach ◽

Anomaly Detection System

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On the performance of a deep learning-based anomaly detection system for 5G networks

2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) ◽

10.1109/uic-atc.2017.8397440 ◽

2017 ◽

Cited By ~ 4

Author(s):

Lorenzo Fernandez Maimo ◽

Felix J. Garcia Clemente ◽

Manuel Gil Perez ◽

Gregorio Martinez Perez

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection System ◽

5G Networks ◽

Anomaly Detection System

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Performances of Machine Learning Algorithms for Binary Classification of Network Anomaly Detection System

Journal of Physics Conference Series ◽

10.1088/1742-6596/1018/1/012015 ◽

2018 ◽

Vol 1018 ◽

pp. 012015 ◽

Cited By ~ 5

Author(s):

Mukrimah Nawir ◽

Amiza Amir ◽

Ong Bi Lynn ◽

Naimah Yaakob ◽

R. Badlishah Ahmad

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Detection System ◽

Binary Classification ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Network Anomaly Detection ◽

Anomaly Detection System

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Dynamic Network Anomaly Detection System by Using Deep Learning Techniques

Cloud Computing – CLOUD 2019 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-23502-4_12 ◽

2019 ◽

pp. 161-176 ◽

Cited By ~ 10

Author(s):

Peng Lin ◽

Kejiang Ye ◽

Cheng-Zhong Xu

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection System ◽

Dynamic Network ◽

Learning Techniques ◽

Network Anomaly Detection ◽

Anomaly Detection System

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Adaptive Anomaly Detection System Based on Machine Learning Algorithms in an Industrial Control Environment

International Journal of Critical Infrastructure Protection ◽

10.1016/j.ijcip.2021.100446 ◽

2021 ◽

pp. 100446

Author(s):

Jan Vávra ◽

Martin Hromada ◽

Luděk Lukáš ◽

Jacek Dworzecki

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Detection System ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Control Environment ◽

Industrial Control ◽

Anomaly Detection System

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Usage of Machine Learning Algorithms for Flow Based Anomaly Detection System in Software Defined Networks

Advances in Intelligent Systems and Computing - Intelligent and Fuzzy Techniques: Smart and Innovative Solutions ◽

10.1007/978-3-030-51156-2_135 ◽

2020 ◽

pp. 1156-1163

Author(s):

Muhammet Fatih Akbaş ◽

Cengiz Güngör ◽

Enis Karaarslan

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Detection System ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Software Defined Networks ◽

Anomaly Detection System

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A comprehensive novel model for network speech anomaly detection system using deep learning approach

International Journal of Speech Technology ◽

10.1007/s10772-020-09693-z ◽

2020 ◽

Vol 23 (2) ◽

pp. 305-313 ◽

Cited By ~ 2

Author(s):

A. Manimaran ◽

D. Chandramohan ◽

S. G. Shrinivas ◽

N. Arulkumar

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection System ◽

Learning Approach ◽

Novel Model ◽

Anomaly Detection System

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