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Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4372

2020

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Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features

Electronics (Basel), 2020-01, Vol.9 (1), p.144

2020

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An Efficient Detection Mechanism of Network Intrusions in IoT Environments Using Autoencoder and Data Partitioning

Computers (Basel), 2024-10, Vol.13 (10), p.269

2024

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A Survey on Feature Selection Techniques Based on Filtering Methods for Cyber Attack Detection

Information (Basel), 2023-03, Vol.14 (3), p.191

2023

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A voting-based sequential pattern recognition method

PloS one, 2013-10, Vol.8 (10), p.e76980-e76980

2013

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A Sequential Detection Method for Intrusion Detection System Based on Artificial Neural Networks

International Journal of Networking and Computing, 2020, Vol.10(2), pp.213-226

2020

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Lightweight Classification of IoT Malware Based on Image Recognition

2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018, Vol.2, p.664-669

2018

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A Detection System for Distributed DoS Attacks Based on Automatic Extraction of Normal Mode and Its Performance Evaluation

Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017, Vol.10656, p.461-473

2017

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Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework

IEICE Transactions on Information and Systems, 2013/10/01, Vol.E96.D(10), pp.2235-2244

2013

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Part-based methods for handwritten digit recognition

Frontiers of Computer Science, 2013-08, Vol.7 (4), p.514-525

2013

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Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-Based Feature Selection and Its Performance Evaluation

Advanced Information Networking and Applications, 2019, Vol.926, p.458-469

2019

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Efficient Evaluation of Partially-Dimensional Range Queries Using Adaptive R-tree

Database and Expert Systems Applications, 2006, p.687-696

2006

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Ag-Tree: A Novel Structure for Range Queries in Data Warehouse Environments

Database Systems for Advanced Applications, 2006, p.498-512

2006

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Skew Estimation by Parts

IEICE Transactions on Information and Systems, 2013/07/01, Vol.E96.D(7), pp.1503-1512

2013

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Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework

IEICE transactions on information and systems, 2013, Vol.E96.D (10), p.2235-2244

2013

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A New Structure for Accelerating XPath Location Steps

Advances in Web-Age Information Management, 2006, p.49-60

2006

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Selective Concealment of Characters for Privacy Protection

2014 22nd International Conference on Pattern Recognition, 2014, p.333-338

2014

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Non-Markovian dynamic time warping

Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012, p.2294-2297

2012

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Feature Selection for Machine Learning-Based Early Detection of Distributed Cyber Attacks

2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2018, p.173-180

2018

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A Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional Network

Science of Cyber Security, p.513-523

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On the possibility of instance-based stroke recovery

2012 International Conference on Frontiers in Handwriting Recognition, 2012, p.29-34

2012

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Watching pattern distribution via massive character recognition

2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011, p.1-6

2011

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A Machine Learning Based Approach for Detecting DRDoS Attacks and Its Performance Evaluation

2016 11th Asia Joint Conference on Information Security (AsiaJCIS), 2016, p.80-86

2016

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A Proposal for Cyber-Attack Trace-Back Using Packet Marking and Logging

2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2016, p.603-607

2016

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A Proposal for Detecting Distributed Cyber-Attacks Using Automatic Thresholding

2015 10th Asia Joint Conference on Information Security, 2015, p.152-159

2015

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Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture

Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features

An Efficient Detection Mechanism of Network Intrusions in IoT Environments Using Autoencoder and Data Partitioning

A Survey on Feature Selection Techniques Based on Filtering Methods for Cyber Attack Detection

A voting-based sequential pattern recognition method

A Sequential Detection Method for Intrusion Detection System Based on Artificial Neural Networks

Lightweight Classification of IoT Malware Based on Image Recognition

A Detection System for Distributed DoS Attacks Based on Automatic Extraction of Normal Mode and Its Performance Evaluation

Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework

Part-based methods for handwritten digit recognition

Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-Based Feature Selection and Its Performance Evaluation

Efficient Evaluation of Partially-Dimensional Range Queries Using Adaptive R-tree

Ag-Tree: A Novel Structure for Range Queries in Data Warehouse Environments

Skew Estimation by Parts

Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework

A New Structure for Accelerating XPath Location Steps

Selective Concealment of Characters for Privacy Protection

Non-Markovian dynamic time warping

Feature Selection for Machine Learning-Based Early Detection of Distributed Cyber Attacks

A Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional Network

On the possibility of instance-based stroke recovery

Watching pattern distribution via massive character recognition

A Machine Learning Based Approach for Detecting DRDoS Attacks and Its Performance Evaluation

A Proposal for Cyber-Attack Trace-Back Using Packet Marking and Logging

A Proposal for Detecting Distributed Cyber-Attacks Using Automatic Thresholding

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