Sidra Abbas
Orcid: 0009-0001-0117-4390
According to our database1,
Sidra Abbas
authored at least 33 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection.
Peer Peer Netw. Appl., September, 2024
An efficient deep recurrent neural network for detection of cyberattacks in realistic IoT environment.
J. Supercomput., July, 2024
Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024
Adaptive Framing and Virtual Channel Scheduling Algorithm Based on Advanced Orbiting System for Consumer Sustainability in Industry 5.0.
IEEE Trans. Consumer Electron., May, 2024
IEEE Trans. Consumer Electron., February, 2024
Aspect Category Detection of Mobile Edge Customer Reviews: A Distributed and Trustworthy Restaurant Recommendation System.
IEEE Trans. Consumer Electron., February, 2024
Active Learning Empowered Sentiment Analysis: An Approach for Optimizing Smartphone Customer's Review Sentiment Classification.
IEEE Trans. Consumer Electron., February, 2024
PODE: privacy-enhanced distributed federated learning approach for origin-destination estimation.
PeerJ Comput. Sci., 2024
Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks.
PeerJ Comput. Sci., 2024
Efficient geospatial mapping of buildings, woodlands, water and roads from aerial imagery using deep learning.
PeerJ Comput. Sci., 2024
Privacy preserved and decentralized thermal comfort prediction model for smart buildings using federated learning.
PeerJ Comput. Sci., 2024
IEEE Access, 2024
IEEE Access, 2024
Effective Hypertension Detection Using Predictive Feature Engineering and Deep Learning.
IEEE Access, 2024
Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition.
IEEE Access, 2024
A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification.
IEEE Access, 2024
Securing Data From Side-Channel Attacks: A Graph Neural Network-Based Approach for Smartphone-Based Side Channel Attack Detection.
IEEE Access, 2024
Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detection and Categorization.
IEEE Access, 2024
Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection.
IEEE Access, 2024
Active Machine Learning for Heterogeneity Activity Recognition Through Smartwatch Sensors.
IEEE Access, 2024
2023
Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity.
Sensors, August, 2023
Privacy-preserving federated learning cyber-threat detection for intelligent transport systems with blockchain-based security.
Expert Syst. J. Knowl. Eng., June, 2023
Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning.
Sensors, 2023
Comput. Syst. Sci. Eng., 2023
Graph Neural Network for Smartphone Recommendation System: A Sentiment Analysis Approach for Smartphone Rating.
IEEE Access, 2023
A Novel Drug-Drug Indicator Dataset and Ensemble Stacking Model for Detection and Classification of Drug-Drug Interaction Indicators.
IEEE Access, 2023
A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures.
IEEE Access, 2023
2022
Frontiers Comput. Neurosci., 2022
Ensemble Adaboost classifier for accurate and fast detection of botnet attacks in connected vehicles.
Trans. Emerg. Telecommun. Technol., 2022
2021
IEEE Trans. Green Commun. Netw., 2021