Aaisha Makkar

Orcid: 0000-0001-7203-6553

According to our database1, Aaisha Makkar authored at least 26 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
A Fuzzy-Based Approach to Enhance Cyber Defence Security for Next-Generation IoT.
IEEE Internet Things J., February, 2023

SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays.
Int. J. Mach. Learn. Cybern., 2023

Exploring Imaging Biomarkers for Early Detection of Alzheimer's Disease Using Deep Learning: A Comprehensive Analysis.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

An Optimized Approach for Intrusion Detection in Internet of Softwarized Things.
Proceedings of the IEEE International Conference on Communications, 2023

2022
SecureIIoT Environment: Federated Learning Empowered Approach for Securing IIoT From Data Breach.
IEEE Trans. Ind. Informatics, 2022

SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber-physical systems.
Inf. Process. Manag., 2022

Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications.
IEEE Netw. Lett., 2022

FedLearnSP: Preserving Privacy and Security Using Federated Learning and Edge Computing.
IEEE Consumer Electron. Mag., 2022

Federated Learning Based Secured Computational Offloading in Cyber-Physical IoST Systems.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

Federated Learning for Lung Sound Analysis.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

Machine Learning for Detecting Security Attacks on Blockchain using Software Defined Networking.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021
An Efficient Spam Detection Technique for IoT Devices Using Machine Learning.
IEEE Trans. Ind. Informatics, 2021

PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention.
Future Gener. Comput. Syst., 2021

Visualization and deep-learning-based malware variant detection using OpCode-level features.
Future Gener. Comput. Syst., 2021

AI based management of Food Wastage.
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

2020
SPAMI: A cognitive spam protector for advertisement malicious images.
Inf. Sci., 2020

An efficient deep learning-based scheme for web spam detection in IoT environment.
Future Gener. Comput. Syst., 2020

An Intelligent Phishing Detection Scheme Using Machine Learning.
Proceedings of the Sixth International Conference on Mathematics and Computing, 2020

DIADL: An Energy Efficient Framework for Detecting Intrusion Attack Using Deep LearnIing.
Proceedings of the ICCMS '20: The 12th International Conference on Computer Modeling and Simulation, 2020

2019
Cognitive spammer: A Framework for PageRank analysis with Split by Over-sampling and Train by Under-fitting.
Future Gener. Comput. Syst., 2019

The Power of AI in IoT : Cognitive IoT-based Scheme for Web Spam Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
User behavior analysis-based smart energy management for webpage ranking: Learning automata-based solution.
Sustain. Comput. Informatics Syst., 2018

FS2RNN: Feature Selection Scheme for Web Spam Detection Using Recurrent Neural Networks.
Proceedings of the IEEE Global Communications Conference, 2018

QAIR: Quality Assessment Scheme for Information Retrieval in IoT Infrastructures.
Proceedings of the IEEE Global Communications Conference, 2018

2016
Spammer Classification Using Ensemble Methods over Content-Based Features.
Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016


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