Mohammad M. Masud

Orcid: 0000-0002-5274-5982

Affiliations:
  • United Arab Emirates University, Abu Dhabi, UAE


According to our database1, Mohammad M. Masud authored at least 68 papers between 2006 and 2023.

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Bibliography

2023
Deep learning approach to security enforcement in cloud workflow orchestration.
J. Cloud Comput., December, 2023

A data-efficient zero-shot and few-shot Siamese approach for automated diagnosis of left ventricular hypertrophy.
Comput. Biol. Medicine, September, 2023

Social media bot detection with deep learning methods: a systematic review.
Neural Comput. Appl., April, 2023

Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal.
CoRR, 2023

A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques.
IEEE Access, 2023

A Comparative Study of Transformer Based Pretrained AI Models for Content Summarization.
Proceedings of the 15th International Conference on Innovations in Information Technology, 2023

Orbit Propagation and Determination using Genetic Algorithms.
Proceedings of the 15th International Conference on Innovations in Information Technology, 2023

An Enhanced Deepfake Video Detection Technique.
Proceedings of the 15th International Conference on Innovations in Information Technology, 2023

Social Media Misinformation Propagation and Detection.
Proceedings of the 15th International Conference on Innovations in Information Technology, 2023

TiVEx: Optimized Processing for Time Series Visual Exploration.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data.
Soc. Netw. Anal. Min., 2022

Predictive Modeling for the Diagnosis of Gestational Diabetes Mellitus Using Epidemiological Data in the United Arab Emirates.
Inf., 2022

BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Mixed Data Imputation Using Generative Adversarial Networks.
IEEE Access, 2022

2021
A panel data estimation of the determinants of life expectancy in selected SAARC countries.
Oper. Res. Decis., 2021

Distributed Algorithms for Multiple Path Backbone Discovery in Thick Linear Sensor Networks.
J. Sens. Actuator Networks, 2021

Blockchain-based Secure CIDS Operation.
Proceedings of the 5th Cyber Security in Networking Conference, 2021

Smart Online Exam Proctoring Assist for Cheating Detection.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Deep Learning Based Cardiac Phase Detection Using Echocardiography Imaging.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020
Online streaming feature selection with incremental feature grouping.
WIREs Data Mining Knowl. Discov., 2020

BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data.
CoRR, 2020

Thwarting ICMP Low-Rate Attacks Against Firewalls While Minimizing Legitimate Traffic Loss.
IEEE Access, 2020

Effective Patient Similarity Computation for Clinical Decision Support Using Time Series and Static Data.
Proceedings of the Australasian Computer Science Week, 2020

2018
A Framework for Utilizing Lab Test Results for Clinical Prediction of ICU Patients.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Resource-Aware Mobile-Based Health Monitoring.
IEEE J. Biomed. Health Informatics, 2017

Hybrid mechanism towards network packet early acceptance and rejection for unified threat management.
IET Inf. Secur., 2017

Android based mobile apps for information security hands-on education.
Educ. Inf. Technol., 2017

Efficient topology discovery and routing in thick wireless Linear Sensor Networks.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Survival prediction of ICU patients using knowledge intensive data grouping and selection.
Proceedings of the 6th International Conference on Information and Communication Technology and Accessibility, 2017

Toward Optimal Streaming Feature Selection.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Multistream regression with asynchronous concept drift detection.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream.
IEEE Trans. Knowl. Data Eng., 2016

An extended identity-based cryptography protocol based on biometric.
Int. J. Inf. Priv. Secur. Integr., 2016

Mortality prediction of ICU patients using lab test data by feature vector compaction & classification.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Network Packet Filtering and Deep Packet Inspection Hybrid Mechanism for IDS Early Packet Matching.
Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016

2015
A social learning analytics approach to cognitive apprenticeship.
Smart Learn. Environ., 2015

On Investigating the Effectiveness of Biometric Readers in Thwarting Network Attacks: A Secure Architecture Design Proposal.
J. Intell. Syst., 2015

ICU Patient Deterioration prediction: a Data-Mining Approach.
CoRR, 2015

Statistical dynamic splay tree filters towards multilevel firewall packet filtering enhancement.
Comput. Secur., 2015

Online Prediction of Chess Match Result.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Trusting the same: Using similarity to establish trust among vehicles.
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015

2014
A data driven firewall for faster packet filtering.
Proceedings of the Fourth International Conference on Communications and Networking, 2014

FSBD: A Framework for Scheduling of Big Data Mining in Cloud Computing.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams.
IEEE Trans. Knowl. Data Eng., 2013

Firewall performance optimization using data mining techniques.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

2012
Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Cloud Guided Stream Classification Using Class-Based Ensemble.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
Cloud-based malware detection for evolving data streams.
ACM Trans. Manag. Inf. Syst., 2011

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints.
IEEE Trans. Knowl. Data Eng., 2011

Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing.
IEEE Trans. Knowl. Data Eng., 2011

Facing the reality of data stream classification: coping with scarcity of labeled data.
Knowl. Inf. Syst., 2011

Detecting Recurring and Novel Classes in Concept-Drifting Data Streams.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Classification and Novel Class Detection in Data Streams with Active Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Addressing Concept-Evolution in Concept-Drifting Data Streams.
Proceedings of the ICDM 2010, 2010

2009
Exploiting an antivirus interface.
Comput. Stand. Interfaces, 2009

Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

2008
A scalable multi-level feature extraction technique to detect malicious executables.
Inf. Syst. Frontiers, 2008

Detecting Remote Exploits Using Data Mining.
Proceedings of the Advances in Digital Forensics IV, 2008

A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Data Mining for Security Applications.
Proceedings of the 2008 IEEE/IPIP International Conference on Embedded and Ubiquitous Computing (EUC 2008), 2008

Peer to peer botnet detection for cyber-security: a data mining approach.
Proceedings of the 4th annual workshop on Cyber security and information intelligence research, 2008

2007
E-Mail Worm Detection Using Data Mining.
Int. J. Inf. Secur. Priv., 2007

Feature Based Techniques for Auto-Detection of Novel Email Worms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A Hybrid Model to Detect Malicious Executables.
Proceedings of IEEE International Conference on Communications, 2007

2006
Email Worm Detection Using Naïve Bayes and Support Vector Machine.
Proceedings of the Intelligence and Security Informatics, 2006


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