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The Development of an Internet of Things (IoT) Network Traffic Dataset with Simulated Attack Data

Wangji Wanglu Jishu Xuekan = Journal of Internet Technology, 2023-03, Vol.24 (2), p.345-356

2023

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CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection

IEEE access, 2020, Vol.8, p.132911-132921

2020

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The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities

JMIR medical informatics, 2021-07, Vol.9 (7), p.e21929-e21929

2021

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Investigating Brute Force Attack Patterns in IoT Network

Journal of Electrical and Computer Engineering, 2019-01, Vol.2019 (2019), p.1-13

2019

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IoT botnet attack detection using deep autoencoder and artificial neural networks

KSII Transactions on Internet and Information Systems, 2023, 17(5), , pp.1310-1338

2023

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Ping Flood Attack Pattern Recognition Using a K-Means Algorithm in an Internet of Things (IoT) Network

IEEE access, 2021, Vol.9, p.116475-116484

2021

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Effective and efficient approach in IoT Botnet detection

Sinergi (Fakultas Teknologi Industri Univeritas Mercu Buana., 2024, Vol.28 (1), p.31-42

2024

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Correction: The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities

JMIR medical informatics, 2021-08, Vol.9 (8), p.e32869-e32869

2021

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Mobile Application of Electronic Prescribing for Supporting E-Health Services

E3S web of conferences, 2019-01, Vol.125, p.25004

2019

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Cyberattacks and data breaches in Indonesia by Bjorka: hacker or data collector?

Bulletin of electrical engineering and informatics (edisi elektronik), 2022-12, Vol.11 (6), p.2989-2994

2022

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Penetration Testing and Network Auditing: Linux

JIPS(Journal of Information Processing Systems), 2015, 11(1), 35, pp.104-115

2015

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Attack classification of an intrusion detection system using deep learning and hyperparameter optimization

Journal of information security and applications, 2021-05, Vol.58, p.102804, Article 102804

2021

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Proposal of the S-score for measuring the performance of researchers, institutions, and journals in Indonesia

Science editing, 2018-08, Vol.5 (2), p.135-141

2018

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Penetration Testing and Network Auditing: Linux

Journal of information processing systems, 2015-03, Vol.11 (1), p.104-115

2015

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An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction

International journal of information security, 2024-06, Vol.23 (3), p.1619-1648

2024

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CNN-LSTM Hybrid Model for Improving Bitcoin Price Prediction Results

Applied mathematics and computational intelligence, 2023-11, Vol.12 (4), p.13-26

2023

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Proposed threshold-based and rule-based approaches to detecting duplicates in bibliographic database

Bulletin of electrical engineering and informatics (edisi elektronik), 2024-06, Vol.13 (3), p.2036-2047

2024

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Automatic Features Extraction Using Autoencoder in Intrusion Detection System

2018 International Conference on Electrical Engineering and Computer Science (ICECOS), 2018, p.219-224

2018

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IoT botnet attack detection using deep autoencoder and artificial neural networks

KSII transactions on Internet and information systems, 2023, Vol.17 (5), p.1310-1338

2023

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WhatsApp, Viber and Telegram which is Best for Instant Messaging?

International journal of electrical and computer engineering (Malacca, Malacca), 2016-06, Vol.6 (3), p.909

2016

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Deep learning with focal loss approach for attacks classification

Telkomnika, 2021-08, Vol.19 (4), p.1407-1418

2021

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The incorporation of stacked long short-term memory into intrusion detection systems for botnet attack classification

IAES international journal of artificial intelligence, 2024-09, Vol.13 (3), p.3657

2024

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The Implementation of Deep Neural Networks Algorithm for Malware Classification

Computer engineering and applications journal, 2019-09, Vol.8 (3), p.189-202

2019

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Improvement of attack detection performance on the internet of things with PSO-search and random forest

Journal of computational science, 2022-10, Vol.64, p.101833, Article 101833

2022

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Ransomware Detection Based On Opcode Behavior Using K-Nearest Neighbors Algorithm

Information technology and control, 2021-09, Vol.50 (3), p.495-506

2021

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The Development of an Internet of Things (IoT) Network Traffic Dataset with Simulated Attack Data

CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection

The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities

Investigating Brute Force Attack Patterns in IoT Network

IoT botnet attack detection using deep autoencoder and artificial neural networks

Ping Flood Attack Pattern Recognition Using a K-Means Algorithm in an Internet of Things (IoT) Network

Effective and efficient approach in IoT Botnet detection

Correction: The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities

Mobile Application of Electronic Prescribing for Supporting E-Health Services

Cyberattacks and data breaches in Indonesia by Bjorka: hacker or data collector?

Penetration Testing and Network Auditing: Linux

Attack classification of an intrusion detection system using deep learning and hyperparameter optimization

Proposal of the S-score for measuring the performance of researchers, institutions, and journals in Indonesia

Penetration Testing and Network Auditing: Linux

An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction

CNN-LSTM Hybrid Model for Improving Bitcoin Price Prediction Results

Proposed threshold-based and rule-based approaches to detecting duplicates in bibliographic database

Automatic Features Extraction Using Autoencoder in Intrusion Detection System

IoT botnet attack detection using deep autoencoder and artificial neural networks

WhatsApp, Viber and Telegram which is Best for Instant Messaging?

Deep learning with focal loss approach for attacks classification

The incorporation of stacked long short-term memory into intrusion detection systems for botnet attack classification

The Implementation of Deep Neural Networks Algorithm for Malware Classification

Improvement of attack detection performance on the internet of things with PSO-search and random forest

Ransomware Detection Based On Opcode Behavior Using K-Nearest Neighbors Algorithm

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