Spammer Classification Using Ensemble Methods over Content-Based Features. - Aaisha Makkar; Shivani Goel (SocProS (2), 2016)

QAIR: Quality Assessment Scheme for Information Retrieval in IoT Infrastructures. - Aaisha Makkar; Neeraj Kumar 001; Mohammad S. Obaidat; Kuei-Fang Hsiao (GLOBECOM, 2018)

FS2RNN: Feature Selection Scheme for Web Spam Detection Using Recurrent Neural Networks. - Aaisha Makkar; Mohammad S. Obaidat; Neeraj Kumar 001 (GLOBECOM, 2018)

User behavior analysis-based smart energy management for webpage ranking: Learning automata-based solution. - Aaisha Makkar; Neeraj Kumar 001 (Sustain. Comput. Informatics Syst., 2018)

The Power of AI in IoT : Cognitive IoT-based Scheme for Web Spam Detection. - Aaisha Makkar; Neeraj Kumar 001; Mohsen Guizani (SSCI, 2019)

Cognitive spammer: A Framework for PageRank analysis with Split by Over-sampling and Train by Under-fitting. - Aaisha Makkar; Neeraj Kumar 001 (Future Gener. Comput. Syst., 2019)

DIADL: An Energy Efficient Framework for Detecting Intrusion Attack Using Deep LearnIing. - Lakshit Sama; Aaisha Makkar; Satyam Kumar Mishra; Yash Samdani (ICCMS, 2020)

An Intelligent Phishing Detection Scheme Using Machine Learning. - Aaisha Makkar; Neeraj Kumar 001; Lakshit Sama; Satyam Kumar Mishra; Yash Samdani (ICMC, 2020)

An efficient deep learning-based scheme for web spam detection in IoT environment. - Aaisha Makkar; Neeraj Kumar 001 (Future Gener. Comput. Syst., 2020)

SPAMI: A cognitive spam protector for advertisement malicious images. - Aaisha Makkar; Neeraj Kumar 001; Albert Y. Zomaya; Shalini Dhiman (Inf. Sci., 2020)

AI based management of Food Wastage. - Lakshit Sama; Aaisha Makkar; Polemoni Prokshitha; Devansh Dhaloria; Bhav Kirti Sharma (ISIC, 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)

PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention. - Aaisha Makkar; Neeraj Kumar 001 (Future Gener. Comput. Syst., 2021)

An Efficient Spam Detection Technique for IoT Devices Using Machine Learning. - Aaisha Makkar; Sahil Garg; Neeraj Kumar 001; M. Shamim Hossain; Ahmed Ghoneim; Mubarak Alrashoud (IEEE Trans. Ind. Informatics, 2021)

Machine Learning for Detecting Security Attacks on Blockchain using Software Defined Networking. - Shivani Gaba; Ishan Budhiraja; Aaisha Makkar; Deepak Garg 002 (ICC Workshops, 2022)

Federated Learning for Lung Sound Analysis. - Afia Farjana; Aaisha Makkar (RTIP2R, 2022)

Federated Learning Based Secured Computational Offloading in Cyber-Physical IoST Systems. - Shivani Gaba; Ishan Budhiraja; Vimal Kumar 002; Aaisha Makkar (RTIP2R, 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)

Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications. - Rishabh Gupta; Deepika Saxena; Ishu Gupta; Aaisha Makkar; Ashutosh Kumar Singh 001 (IEEE Netw. Lett., 2022)

SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber-physical systems. - Aaisha Makkar; Jong Hyuk Park 001 (Inf. Process. Manag., 2022)

SecureIIoT Environment: Federated Learning Empowered Approach for Securing IIoT From Data Breach. - Aaisha Makkar; Tae Woo Kim; Ashutosh Kumar Singh 001; Jungho Kang; Jong Hyuk Park 001 (IEEE Trans. Ind. Informatics, 2022)

An Optimized Approach for Intrusion Detection in Internet of Softwarized Things. - Shivani Gaba; Anushka Nehra; Ishan Budhiraja; Vimal Kumar 002; Aaisha Makkar (ICC Workshops, 2023)

Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation. - Muntazir Mehdi; Aaisha Makkar; Myra Conway; Lakshit Sama (RTIP2R (1), 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 (RTIP2R (2), 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)

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., 2023)

SecureMed: Federated learning empowered approach for securing medical data. - Aaisha Makkar (ISCMI, 2024)

A Multi-Modal Bio-Medical Data Analysis Framework: A case study for Pandemic Preparedness. - Aaisha Makkar; Myra Conway; Farid Meziane; Vinaytosh Mishra; Ashutosh Kumar Singh 001 (UCC, 2024)

A Global Cybersecurity Standardization Framework for Healthcare Informatics. - Kishu Gupta; Vinaytosh Mishra; Aaisha Makkar (CoRR, 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)

Evolutionary learning driven load forecasting and demand response management model for smart grid. - Jatinder Kumar; Pooja Rani; Deepika Saxena; Ashutosh Kumar Singh 001; Aaisha Makkar (Appl. Soft Comput., 2025)

An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management. - Kishu Gupta; Deepika Saxena; Pooja Rani; Jitendra Kumar 003; Aaisha Makkar; Ashutosh Kumar Singh 001; Chung-Nan Lee (IEEE Trans Autom. Sci. Eng., 2025)