Deep Learning Approaches for Network Intrusion Detection (original) (raw)

A Deep Learning Approach to Network Intrusion Detection Using Deep Autoencoder

Gayatri Ketepalli

Revue d'intelligence artificielle, 2020

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A Case Study on Using Deep Learning for Network Intrusion Detection

Shouhuai Xu

IEEE Milcom'2019, 2019

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Towards Detecting and Classifying Network Intrusion Traffic Using Deep Learning Frameworks

Lucas Walgren, Ram Basnet, Clayton Johnson

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Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation

Adel Binbusayyis

PeerJ Computer Science

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Deep Learning for Cyber Security Intrusion Detection: Approaches, Datasets, and Comparative Study

Sotiris Moschoyiannis

Journal of Information Security and Applications , 2020

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A Method For Network Intrusion Detection Using Deep Learning

Nihar Mudigonda

Journal of Student Research

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AI-Driven Intrusion Detection Systems:Leveraging Deep Learning for Network Security

Mohit Kadwal

Nanotechnology Perceptions, 2024

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Network Intrusion Classifier Using Autoencoder with Recurrent Neural Network

Naoshi Nakaya, SDIWC Organization, Zolzaya Kherlenchimeg

The Fourth International Conference on Electronics and Software Science (ICESS2018), 2018

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Detection of Attacks in Network Traffic with the Autoencoder-Based Unsupervised Learning Method

yalçın özkan

Acta Infologica

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Network Intrusion Detection using Deep Learning

Aparna Gullapelly

SpringerBriefs on Cyber Security Systems and Networks, 2018

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Deep Learning Approach for Intelligent Intrusion Detection System

umarani srikanth

IEEE Access, 2019

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A Deep Learning Approach to Network Intrusion Detection

Nathan Shone

IEEE Transactions on Emerging Topics in Computational Intelligence

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Network Intrusion Detection System using Deep Learning

Cihan H Dagli

Procedia Computer Science, 2021

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Deep Learning Techniques for Cyber Security Intrusion Detection : A Detailed Analysis

Leandros Maglaras

Electronic Workshops in Computing, 2019

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Intelligent intrusion detection through deep autoencoder and stacked long short-term memory

International Journal of Electrical and Computer Engineering (IJECE)

International Journal of Electrical and Computer Engineering (IJECE), 2024

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A Novel Intrusion Detection System Using Deep Learning

Vatsal Agarwal

Advances in Intelligent Systems and Computing, 2021

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Intrusion Detection System Based on Network Traffic Using Deep Neural Networks

Eleni Ketzaki

2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2019

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Deep Learning Techniques for Intrusion Detection

Zubair Jeelani

International Conference on Innovative Trends in Business & Technology iCITBT 2020, 2020

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Predictive Model for Network Intrusion Detection System Using Deep Learning

krishna kishore kolli

Revue d'Intelligence Artificielle, 2020

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SecureNet: Network Intrusion Detection using Machine Learning and Deep Learning Techniques

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2024

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Comparison of Machine Learning and Deep Learning algorithms for Detecting Intrusions in Network

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

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A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks

syed muhammad usman

Wireless Communications and Mobile Computing

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A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs)

Vinayakumar Ravi

International Journal of Digital Crime and Forensics, 2019

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NETWORK INTRUSION DETECTION SYSTEM USING NOVEL DEEP LEARNING MODEL

aasif Khan

Mohammed Aasif Khan, 2024

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Deep Learning Approaches for Intrusion Detection

Zryan Rashid

Asian Journal of Research in Computer Science, 2021

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OPTIMIZATION ACCURACY OF INTRUSION DETECTION FOR CYBERSECURITY SYSTEMS USING AUTOENCODER DEEP LEARNING MODEL

Dr. Vinod Kumar Yadav

2023

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Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Johari Abdullah

Transactions on Emerging Telecommunications Technologies, 2020

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