hybrid anomaly Latest Research Papers

A new vibration-based hybrid anomaly detection model for preventing high-power generator failures in power plants

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2021.1960654 ◽

2021 ◽

pp. 1-19

Author(s):

Ismail Kirbaş ◽

Alper Kerem

Keyword(s):

Anomaly Detection ◽

High Power ◽

Power Plants ◽

Power Generator ◽

Detection Model ◽

Hybrid Anomaly

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ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds

IEEE Transactions on Parallel and Distributed Systems ◽

10.1109/tpds.2020.3025914 ◽

2021 ◽

Vol 32 (3) ◽

pp. 514-526

Author(s):

Sara Kardani-Moghaddam ◽

Rajkumar Buyya ◽

Kotagiri Ramamohanarao

Keyword(s):

Reinforcement Learning ◽

Hybrid Anomaly

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A Hybrid Anomaly Based Intrusion Detection Methodology Using IWD for LSTM Classification

2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) ◽

10.1109/ants50601.2020.9342820 ◽

2020 ◽

Author(s):

Mukesh Madanan ◽

Anita Venugopal ◽

Nitha C.Velayudhan

Keyword(s):

Intrusion Detection ◽

Hybrid Anomaly

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A multilevel hybrid anomaly detection scheme for industrial wireless sensor networks

International Journal of Network Management ◽

10.1002/nem.2144 ◽

2020 ◽

Author(s):

Shashank Gavel ◽

Ajay Singh Raghuvanshi ◽

Sudarshan Tiwari

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Anomaly Detection ◽

Wireless Sensor ◽

Industrial Wireless Sensor Networks ◽

Detection Scheme ◽

Hybrid Anomaly

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A hybrid anomaly-based intrusion detection system to improve time complexity in the Internet of Energy environment

Journal of Parallel and Distributed Computing ◽

10.1016/j.jpdc.2020.06.012 ◽

2020 ◽

Vol 145 ◽

pp. 124-139 ◽

Cited By ~ 1

Author(s):

Thomas Rose ◽

Kashif Kifayat ◽

Sohail Abbas ◽

Muhammad Asim

Keyword(s):

Intrusion Detection ◽

Intrusion Detection System ◽

Time Complexity ◽

Detection System ◽

The Internet ◽

Energy Environment ◽

Hybrid Anomaly

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Hypervisor Based IDS Solution Approach Using Hybrid Anomaly Detection Model in Cloud Computing Environment

Advances in Intelligent Systems and Computing - Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3 ◽

10.1007/978-3-030-63092-8_62 ◽

2020 ◽

pp. 909-920

Author(s):

Frances Osamor ◽

Anteneh Girma

Keyword(s):

Cloud Computing ◽

Anomaly Detection ◽

Computing Environment ◽

Cloud Computing Environment ◽

Solution Approach ◽

Detection Model ◽

Hybrid Anomaly

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An Effective Hybrid Anomaly Detection System Based on Mixture Models

2020 International Symposium on Networks, Computers and Communications (ISNCC) ◽

10.1109/isncc49221.2020.9297170 ◽

2020 ◽

Author(s):

Yogesh Pawar ◽

Nuha Zamzami ◽

Nizar Bouguila

Keyword(s):

Anomaly Detection ◽

Mixture Models ◽

Detection System ◽

Hybrid Anomaly ◽

Anomaly Detection System

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Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS)

IEICE Transactions on Information and Systems ◽

10.1587/transinf.2019edl8180 ◽

2020 ◽

Vol E103.D (4) ◽

pp. 888-891

Author(s):

Minhae JANG ◽

Yeonseung RYU ◽

Jik-Soo KIM ◽

Minkyoung CHO

Keyword(s):

Anomaly Detection ◽

Local Feature ◽

Insider Threats ◽

Global Statistics ◽

Hybrid Anomaly

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HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) ◽

10.1109/fmec49853.2020.9144751 ◽

2020 ◽

Author(s):

Ahmed Abdulhasan Alwan ◽

Mihaela Anca Ciupala ◽

Andres Baravalle ◽

Paolo Falcarin

Keyword(s):

Anomaly Detection ◽

Large Scale ◽

Detection System ◽

Cyber Physical Systems ◽

Physical Systems ◽

Hybrid Anomaly ◽

Anomaly Detection System

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A Hybrid Anomaly Classification with Deep Learning (DL) and Binary Algorithms (BA) as Optimizer in the Intrusion Detection System (IDS)

2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) ◽

10.1109/cspa48992.2020.9068725 ◽

2020 ◽

Author(s):

Kayvan Atefi ◽

Habibah Hashim ◽

Touraj Khodadadi

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Anomaly Classification ◽

Hybrid Anomaly

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hybrid anomaly
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

A new vibration-based hybrid anomaly detection model for preventing high-power generator failures in power plants

ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds

A Hybrid Anomaly Based Intrusion Detection Methodology Using IWD for LSTM Classification

A multilevel hybrid anomaly detection scheme for industrial wireless sensor networks

A hybrid anomaly-based intrusion detection system to improve time complexity in the Internet of Energy environment

Hypervisor Based IDS Solution Approach Using Hybrid Anomaly Detection Model in Cloud Computing Environment

An Effective Hybrid Anomaly Detection System Based on Mixture Models

Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS)

HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems

A Hybrid Anomaly Classification with Deep Learning (DL) and Binary Algorithms (BA) as Optimizer in the Intrusion Detection System (IDS)

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hybrid anomalyRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

A new vibration-based hybrid anomaly detection model for preventing high-power generator failures in power plants

ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds

A Hybrid Anomaly Based Intrusion Detection Methodology Using IWD for LSTM Classification

A multilevel hybrid anomaly detection scheme for industrial wireless sensor networks

A hybrid anomaly-based intrusion detection system to improve time complexity in the Internet of Energy environment

Hypervisor Based IDS Solution Approach Using Hybrid Anomaly Detection Model in Cloud Computing Environment

An Effective Hybrid Anomaly Detection System Based on Mixture Models

Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS)

HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems

A Hybrid Anomaly Classification with Deep Learning (DL) and Binary Algorithms (BA) as Optimizer in the Intrusion Detection System (IDS)

hybrid anomaly
Recently Published Documents