Aaisha Makkar
Orcid: 0000-0001-7203-6553
According to our database1,
Aaisha Makkar
authored at least 32 papers
between 2016 and 2025.
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Bibliography
2025
IEEE Trans Autom. Sci. Eng., 2025
Evolutionary learning driven load forecasting and demand response management model for smart grid.
Appl. Soft Comput., 2025
2024
A framework for detection of cyber attacks by the classification of intrusion detection datasets.
Microprocess. Microsystems, 2024
CoRR, 2024
A Multi-Modal Bio-Medical Data Analysis Framework: A case study for Pandemic Preparedness.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024
Proceedings of the 11th International Conference on Soft Computing & Machine Intelligence, 2024
2023
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
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
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
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
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021
2020
Inf. Sci., 2020
Future Gener. Comput. Syst., 2020
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
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
Proceedings of the IEEE Global Communications Conference, 2018
2016
Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016