Aaisha Makkar

According to our database, Aaisha Makkar authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A framework for detection of cyber attacks by the classification of intrusion detection datasets.

Durgesh Srivastava, Rajeshwar Singh, Chinmay Chakraborty, Sunil Kr Maakar, Aaisha Makkar, Deepak Sinwar

Microprocess. Microsystems, 2024

A Global Cybersecurity Standardization Framework for Healthcare Informatics.

Kishu Gupta, Vinaytosh Mishra, Aaisha Makkar

CoRR, 2024

An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management.

Kishu Gupta, Deepika Saxena, Pooja Rani, Jitendra Kumar, Aaisha Makkar, Ashutosh Kumar Singh, Chung-Nan Lee

CoRR, 2024

2023

A Fuzzy-Based Approach to Enhance Cyber Defence Security for Next-Generation IoT.

Aaisha Makkar, Uttam Ghosh, Pradip Kumar Sharma, Amir Javed

IEEE Internet Things J., February, 2023

SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays.

Aaisha Makkar, KC Santosh

Int. J. Mach. Learn. Cybern., 2023

Exploring Imaging Biomarkers for Early Detection of Alzheimer's Disease Using Deep Learning: A Comprehensive Analysis.

Nahid Sami, Aaisha Makkar, Farid Meziane, Myra Conway

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation.

Muntazir Mehdi, Aaisha Makkar, Myra Conway, Lakshit Sama

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

An Optimized Approach for Intrusion Detection in Internet of Softwarized Things.

Shivani Gaba, Anushka Nehra, Ishan Budhiraja, Vimal Kumar, Aaisha Makkar

Proceedings of the IEEE International Conference on Communications, 2023

2022

SecureIIoT Environment: Federated Learning Empowered Approach for Securing IIoT From Data Breach.

Aaisha Makkar, Tae Woo Kim, Ashutosh Kumar Singh, Jungho Kang, Jong Hyuk Park

IEEE Trans. Ind. Informatics, 2022

SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber-physical systems.

Aaisha Makkar, Jong Hyuk Park

Inf. Process. Manag., 2022

Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications.

Rishabh Gupta, Deepika Saxena, Ishu Gupta, Aaisha Makkar, Ashutosh Kumar Singh

IEEE Netw. Lett., 2022

FedLearnSP: Preserving Privacy and Security Using Federated Learning and Edge Computing.

Aaisha Makkar, Uttam Ghosh, Danda B. Rawat, Jemal H. Abawajy

IEEE Consumer Electron. Mag., 2022

Federated Learning Based Secured Computational Offloading in Cyber-Physical IoST Systems.

Shivani Gaba, Ishan Budhiraja, Vimal Kumar, Aaisha Makkar

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

Federated Learning for Lung Sound Analysis.

Afia Farjana, Aaisha Makkar

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

Machine Learning for Detecting Security Attacks on Blockchain using Software Defined Networking.

Shivani Gaba, Ishan Budhiraja, Aaisha Makkar, Deepak Garg

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021

An Efficient Spam Detection Technique for IoT Devices Using Machine Learning.

Aaisha Makkar, Sahil Garg, Neeraj Kumar, M. Shamim Hossain, Ahmed Ghoneim, Mubarak Alrashoud

IEEE Trans. Ind. Informatics, 2021

PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention.

Aaisha Makkar, Neeraj Kumar

Future Gener. Comput. Syst., 2021

Visualization and deep-learning-based malware variant detection using OpCode-level features.

Abdul Basit Darem, Jemal H. Abawajy, Aaisha Makkar, Asma Alhashmi, Sultan Munadi Alanazi

Future Gener. Comput. Syst., 2021

AI based management of Food Wastage.

Lakshit Sama, Aaisha Makkar, Polemoni Prokshitha, Devansh Dhaloria, Bhav Kirti Sharma

Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

2020

SPAMI: A cognitive spam protector for advertisement malicious images.

Aaisha Makkar, Neeraj Kumar, Albert Y. Zomaya, Shalini Dhiman

Inf. Sci., 2020

An efficient deep learning-based scheme for web spam detection in IoT environment.

Aaisha Makkar, Neeraj Kumar

Future Gener. Comput. Syst., 2020

An Intelligent Phishing Detection Scheme Using Machine Learning.

Aaisha Makkar, Neeraj Kumar, Lakshit Sama, Satyam Kumar Mishra, Yash Samdani

Proceedings of the Sixth International Conference on Mathematics and Computing, 2020

DIADL: An Energy Efficient Framework for Detecting Intrusion Attack Using Deep LearnIing.

Lakshit Sama, Aaisha Makkar, Satyam Kumar Mishra, Yash Samdani

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.

Aaisha Makkar, Neeraj Kumar

Future Gener. Comput. Syst., 2019

The Power of AI in IoT : Cognitive IoT-based Scheme for Web Spam Detection.

Aaisha Makkar, Neeraj Kumar, Mohsen Guizani

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.

Aaisha Makkar, Neeraj Kumar

Sustain. Comput. Informatics Syst., 2018

FS2RNN: Feature Selection Scheme for Web Spam Detection Using Recurrent Neural Networks.

Aaisha Makkar, Mohammad S. Obaidat, Neeraj Kumar

Proceedings of the IEEE Global Communications Conference, 2018

QAIR: Quality Assessment Scheme for Information Retrieval in IoT Infrastructures.

Aaisha Makkar, Neeraj Kumar, Mohammad S. Obaidat, Kuei-Fang Hsiao

Proceedings of the IEEE Global Communications Conference, 2018

2016

Spammer Classification Using Ensemble Methods over Content-Based Features.

Aaisha Makkar, Shivani Goel

Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016