Md. Shamsul Huda

According to our database1, Md. Shamsul Huda authored at least 46 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

2022
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion.
Inf. Fusion, 2022

2021
An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model.
IEEE Trans. Ind. Informatics, 2021

A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment.
IEEE Internet Things J., 2021

Improving malicious PDF classifier with feature engineering: A data-driven approach.
Future Gener. Comput. Syst., 2021

A predictive intelligence approach to classify brain-computer interface based eye state for smart living.
Appl. Soft Comput., 2021

An Efficient, Hybrid Authentication Using ECG and Lightweight Cryptographic Scheme for WBAN.
IEEE Access, 2021

An Unsupervised Model for Identifying and Characterizing Dark Web Forums.
IEEE Access, 2021

2020
Increasing the Trustworthiness in the Industrial IoT Networks Through a Reliable Cyberattack Detection Model.
IEEE Trans. Ind. Informatics, 2020

A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection.
J. Netw. Comput. Appl., 2020

An adaptive framework against android privilege escalation threats using deep learning and semi-supervised approaches.
Appl. Soft Comput., 2020

A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids.
Appl. Soft Comput., 2020

Avoiding Future Digital Extortion Through Robust Protection Against Ransomware Threats Using Deep Learning Based Adaptive Approaches.
IEEE Access, 2020

Evolution of Dark Web Threat Analysis and Detection: A Systematic Approach.
IEEE Access, 2020

2019
Human emotion recognition using deep belief network architecture.
Inf. Fusion, 2019

Automatic extraction and integration of behavioural indicators of malware for protection of cyber-physical networks.
Future Gener. Comput. Syst., 2019

2018
A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network.
J. Parallel Distributed Comput., 2018

Human Activity Recognition from Body Sensor Data using Deep Learning.
J. Medical Syst., 2018

Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction.
Inf. Fusion, 2018

A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection.
Future Gener. Comput. Syst., 2018

Identifying cyber threats to mobile-IoT applications in edge computing paradigm.
Future Gener. Comput. Syst., 2018

Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks.
Appl. Soft Comput., 2018

Malware Threats and Detection for Industrial Mobile-IoT Networks.
IEEE Access, 2018

An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction.
IEEE Access, 2018

A Framework for Software Defect Prediction and Metric Selection.
IEEE Access, 2018

2017
Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data.
Inf. Sci., 2017

Exponentially weighted control charts to monitor multivariate process variability for high dimensions.
Int. J. Prod. Res., 2017

A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression.
Concurr. Comput. Pract. Exp., 2017

A parallel framework for software defect detection and metric selection on cloud computing.
Clust. Comput., 2017

2016
Hybrids of support vector machine wrapper and filter based framework for malware detection.
Future Gener. Comput. Syst., 2016

A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis.
IEEE Access, 2016

2014
Hybrid Metaheuristic Approaches to the Expectation Maximization for Estimation of the Hidden Markov Model for Signal Modeling.
IEEE Trans. Cybern., 2014

A Hybrid Wrapper-Filter Approach for Malware Detection.
J. Networks, 2014

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process.
Eur. J. Oper. Res., 2014

2013
An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy.
Artif. Intell. Medicine, 2013

2011
Smart RFID Reader Protocol for Malware Detection.
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011

Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem.
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011

A Reinforcement Learning Approach with Spline-Fit Object Tracking for AIBO Robot's High Level Decision Making.
Proceedings of the Software Engineering, 2011

Hybrid Wrapper-filter Aapproaches for Input Feature Selection using Maximum relevance-Minimum redundancy and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).
Proceedings of the Thirty-Fourth Australasian Computer Science Conference, 2011

2010
Smokers' Characteristics and Cluster Based Quitting Rule Discovery Model for Enhancement of Government's Tobacco Control Systems.
Proceedings of the Pacific Asia Conference on Information Systems, 2010

Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum Relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).
Proceedings of the Fourth International Conference on Network and System Security, 2010

Cluster Based Rule Discovery Model for Enhancement of Government's Tobacco Control Strategy.
Proceedings of the Fourth International Conference on Network and System Security, 2010

2009
A Constraint-Based Evolutionary Learning Approach to the Expectation Maximization for Optimal Estimation of the Hidden Markov Model for Speech Signal Modeling.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model.
Pattern Recognit. Lett., 2009

Process Performance Evaluation Using Evolutionary Algorithm.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009

2007
A Hybrid Algorithm for Estimation of the Parameters of Hidden Markov Model based Acoustic Modeling of Speech Signals using Constraint-Based Genetic Algorithm and Expectation Maximization.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals.
Proceedings of the Advances in Data Mining, 2006


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