Syed Atif Moqurrab

Orcid: 0000-0003-3284-1755

According to our database1, Syed Atif Moqurrab authored at least 17 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A robust Internet of Drones security surveillance communication network based on IOTA.
Internet Things, April, 2024

Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues.
Expert Syst. J. Knowl. Eng., January, 2024

An adaptive ensemble deep learning framework for reliable detection of pandemic patients.
Comput. Biol. Medicine, January, 2024

2023
ShareChain: Blockchain-enabled model for sharing patient data using federated learning and differential privacy.
Expert Syst. J. Knowl. Eng., June, 2023

Instant_Anonymity: A Lightweight Semantic Privacy Guarantee for 5G-Enabled IIoT.
IEEE Trans. Ind. Informatics, 2023

UtilityAware: A framework for data privacy protection in e-health.
Inf. Sci., 2023

Preserving Privacy in Internet of Vehicles (IoV): A Novel Group-Leader-Based Shadowing Scheme Using Blockchain.
IEEE Internet Things J., 2023

CAPTCHA Types and Breaking Techniques: Design Issues, Challenges, and Future Research Directions.
CoRR, 2023

2022
Formal verification and complexity analysis of confidentiality aware textual clinical documents framework.
Int. J. Intell. Syst., December, 2022

A Deep Learning-Based Privacy-Preserving Model for Smart Healthcare in Internet of Medical Things Using Fog Computing.
Wirel. Pers. Commun., 2022

<i>Deep-Confidentiality</i>: An IoT-Enabled Privacy-Preserving Framework for Unstructured Big Biomedical Data.
ACM Trans. Internet Techn., 2022

Ensemble Adaboost classifier for accurate and fast detection of botnet attacks in connected vehicles.
Trans. Emerg. Telecommun. Technol., 2022

Towards enhanced threat modelling and analysis using a Markov Decision Process.
Comput. Commun., 2022

An efficient framework for semantically-correlated term detection and sanitization in clinical documents.
Comput. Electr. Eng., 2022

2021
An Accurate Deep Learning Model for Clinical Entity Recognition From Clinical Notes.
IEEE J. Biomed. Health Informatics, 2021

2020
N-Sanitization: A semantic privacy-preserving framework for unstructured medical datasets.
Comput. Commun., 2020

2018
Opinion and Emotion Mining for Pakistan General Election 2018 on Twitter Data.
Proceedings of the Intelligent Technologies and Applications, 2018


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