Distributed attack detection scheme using deep learning approach for Internet of Things

Future Generation Computer Systems ◽

10.1016/j.future.2017.08.043 ◽

2018 ◽

Vol 82 ◽

pp. 761-768 ◽

Cited By ~ 164

Author(s):

Abebe Abeshu Diro ◽

Naveen Chilamkurti

Keyword(s):

Deep Learning ◽

Internet Of Things ◽

Attack Detection ◽

Learning Approach ◽

Detection Scheme

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Internet of Things: A Survey on Distributed Attack Detection Using Deep Learning Approach

Proceeding of International Conference on Computational Science and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-0790-8_17 ◽

2020 ◽

pp. 157-165

Author(s):

Saraswati Nagtilak ◽

Sunil Rai ◽

Rohini Kale

Keyword(s):

Deep Learning ◽

Internet Of Things ◽

Attack Detection ◽

Learning Approach

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Attack Detection Scheme Using Deep Learning Approach for IoT

10.1007/978-981-16-4294-4_2 ◽

2021 ◽

pp. 17-30

Author(s):

Vikash Kumar ◽

Sidra Kalam ◽

Ayan Kumar Das ◽

Ditipriya Sinha

Keyword(s):

Deep Learning ◽

Attack Detection ◽

Learning Approach ◽

Detection Scheme

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A Deep Learning Approach Combining Autoencoder with One-class SVM for DDoS Attack Detection in SDNs

2020 IEEE Eighth International Conference on Communications and Networking (ComNet) ◽

10.1109/comnet47917.2020.9306073 ◽

2020 ◽

Author(s):

Lotfi Mhamdi ◽

Desmond McLernon ◽

Fadi El-moussa ◽

Syed Ali Raza Zaidi ◽

Mounir Ghogho ◽

...

Keyword(s):

Deep Learning ◽

Attack Detection ◽

Learning Approach ◽

Ddos Attack ◽

Ddos Attack Detection

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Predicting cardiovascular events with deep learning approach in the context of the internet of things

Neural Computing and Applications ◽

10.1007/s00521-020-05542-x ◽

2021 ◽

Author(s):

Sina Dami ◽

Mahtab Yahaghizadeh

Keyword(s):

Deep Learning ◽

Internet Of Things ◽

Cardiovascular Events ◽

The Internet ◽

Learning Approach ◽

The Internet Of Things

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Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach

IEEE Wireless Communications Letters ◽

10.1109/lwc.2021.3072937 ◽

2021 ◽

pp. 1-1

Author(s):

Eshagh Dehmollaian ◽

Bernhard Etzlinger ◽

Nuria Ballber Torres ◽

Andreas Springer

Keyword(s):

Deep Learning ◽

Channel State Information ◽

Attack Detection ◽

Learning Approach ◽

Ofdm Systems ◽

Channel State ◽

State Information

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Deep Learning-Based Attack Detection in the Internet of Things

Proceedings of Second International Conference on Computing, Communications, and Cyber-Security - Lecture Notes in Networks and Systems ◽

10.1007/978-981-16-0733-2_22 ◽

2021 ◽

pp. 307-319

Author(s):

Parushi Malhotra ◽

Yashwant Singh

Keyword(s):

Deep Learning ◽

Internet Of Things ◽

Attack Detection ◽

The Internet ◽

The Internet Of Things

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RAD-EI: A routing attack detection scheme for edge-based Internet of Things environment

International Journal of Communication Systems ◽

10.1002/dac.4024 ◽

2019 ◽

Vol 32 (15) ◽

pp. e4024 ◽

Cited By ~ 4

Author(s):

Mohammad Wazid ◽

Poonam Reshma Dsouza ◽

Ashok Kumar Das ◽

Vivekananda Bhat K ◽

Neeraj Kumar ◽

...

Keyword(s):

Internet Of Things ◽

Attack Detection ◽

Detection Scheme ◽

Internet Of Things Environment ◽

Routing Attack ◽

Edge Based

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A Deep Learning Approach for Intrusion Detection in Internet of Things using Bi-Directional Long Short-Term Memory Recurrent Neural Network

2018 28th International Telecommunication Networks and Applications Conference (ITNAC) ◽

10.1109/atnac.2018.8615294 ◽

2018 ◽

Cited By ~ 8

Author(s):

Bipraneel Roy ◽

Hon Cheung

Keyword(s):

Neural Network ◽

Deep Learning ◽

Internet Of Things ◽

Intrusion Detection ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Learning Approach ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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RPL Attack Detection and Prevention in the Internet of Things Networks Using a GRU Based Deep Learning

IEEE Access ◽

10.1109/access.2020.3029191 ◽

2020 ◽

Vol 8 ◽

pp. 183678-183689

Author(s):

Semih Cakir ◽

Sinan Toklu ◽

Nesibe Yalcin

Keyword(s):

Deep Learning ◽

Internet Of Things ◽

Attack Detection ◽

The Internet ◽

The Internet Of Things

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Data integrity attack detection in smart grid: a deep learning approach

International Journal of Security and Networks ◽

10.1504/ijsn.2020.106506 ◽

2020 ◽

Vol 15 (1) ◽

pp. 15

Author(s):

Sunitha Basodi ◽

Song Tan ◽

WenZhan Song ◽

Yi Pan

Keyword(s):

Deep Learning ◽

Smart Grid ◽

Data Integrity ◽

Attack Detection ◽

Learning Approach

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