Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection

IEEE Access ◽

10.1109/access.2018.2869577 ◽

2018 ◽

Vol 6 ◽

pp. 52843-52856 ◽

Author(s):

Majjed Al-Qatf ◽

Yu Lasheng ◽

Mohammed Al-Habib ◽

Kamal Al-Sabahi

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion ◽

Sparse Autoencoder

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A Deep Learning Approach Based on Sparse Autoencoder with Long Short-Term Memory for Network Intrusion Detection

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.140.592 ◽

2020 ◽

Vol 140 (6) ◽

pp. 592-599

Author(s):

Zolzaya Kherlenchimeg ◽

Naoshi Nakaya

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Short Term Memory ◽

Network Intrusion Detection ◽

Learning Approach ◽

Term Memory ◽

Network Intrusion ◽

Sparse Autoencoder ◽

Long Short Term Memory

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A Deep Learning Approach for Anomaly-Based Network Intrusion Detection

Communications in Computer and Information Science - Big Data and Security ◽

10.1007/978-981-15-7530-3_46 ◽

2020 ◽

pp. 603-615

Author(s):

Najwa Altwaijry ◽

Ameerah ALQahtani ◽

Isra AlTuraiki

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion

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A Deep Learning Approach for Anomaly-Based Network Intrusion Detection Systems: A Survey and an Objective Comparison

10.1007/978-3-030-82469-3_20 ◽

2021 ◽

pp. 227-235

Author(s):

Shailender Kumar ◽

Namrata Jha ◽

Nikhil Sachdeva

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Learning Approach ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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A Deep Learning Approach for Network Intrusion Detection System

Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS) ◽

10.4108/eai.3-12-2015.2262516 ◽

2016 ◽

Author(s):

Ahmad Javaid ◽

Quamar Niyaz ◽

Weiqing Sun ◽

Mansoor Alam

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion ◽

Network Intrusion Detection System

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Network Intrusion Detection System using Threat Intelligence and Deep Learning Approach

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i4.526531 ◽

2019 ◽

Vol 7 (4) ◽

pp. 526-531

Author(s):

Kushal Jani ◽

Punit Lalwani ◽

Deepak Upadhyay ◽

M. B. Potdar

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion ◽

Network Intrusion Detection System ◽

Threat Intelligence

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Deep learning approach for Network Intrusion Detection in Software Defined Networking

2016 International Conference on Wireless Networks and Mobile Communications (WINCOM) ◽

10.1109/wincom.2016.7777224 ◽

2016 ◽

Author(s):

Tuan A Tang ◽

Lotfi Mhamdi ◽

Des McLernon ◽

Syed Ali Raza Zaidi ◽

Mounir Ghogho

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Software Defined Networking ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion

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Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM

Applied Intelligence ◽

10.1007/s10489-021-02205-9 ◽

2021 ◽

Author(s):

Adel Binbusayyis ◽

Thavavel Vaiyapuri

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion ◽

Convolutional Autoencoder ◽

Unsupervised Deep Learning

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A Deep Learning Approach to Network Intrusion Detection

IEEE Transactions on Emerging Topics in Computational Intelligence ◽

10.1109/tetci.2017.2772792 ◽

2018 ◽

Vol 2 (1) ◽

pp. 41-50 ◽

Author(s):

Nathan Shone ◽

Tran Nguyen Ngoc ◽

Vu Dinh Phai ◽

Qi Shi

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion

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A Deep Learning Approach for Network Intrusion Detection Using Non-symmetric Auto-encoder

Algorithms for Intelligent Systems - Intelligent Computing and Communication Systems ◽

10.1007/978-981-16-1295-4_38 ◽

2021 ◽

pp. 371-382

Author(s):

Divya Nehra ◽

Veenu Mangat ◽

Krishan Kumar

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion

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Deep Learning Approach-Based Network Intrusion Detection System for Fog-Assisted IoT

Proceedings of International Conference on Big Data, Machine Learning and their Applications - Lecture Notes in Networks and Systems ◽

10.1007/978-981-15-8377-3_4 ◽

2020 ◽

pp. 39-50

Author(s):

Nausheen Sahar ◽

Ratnesh Mishra ◽

Sidra Kalam

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Learning Approach ◽

Network Intrusion ◽

Network Intrusion Detection System

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