Big Cloud: a hybrid cloud model for secure data storage through cloud space. - Kaushik Sekaran; P. Venkata Krishna 001 (Int. J. Adv. Intell. Paradigms, 2016)

Cross region load balancing of tasks using region-based rerouting of loads in cloud computing environment. - Kaushik Sekaran; P. Venkata Krishna 001 (Int. J. Adv. Intell. Paradigms, 2017)

Combating Distributed Denial of Service Attacks Using Load Balanced Hadoop Clustering in Cloud Computing Environment. - Kaushik Sekaran; G. Raja Vikram; B. V. Chowdar; U. N. P. Gangadhar Raju (ICDTE, 2018)

An Efficient Mixture Model Approach in Brain-Machine Interface Systems for Extracting the Psychological Status of Mentally Impaired Persons Using EEG Signals. - N. Murali Krishna; Kaushik Sekaran; Annepu Venkata Naga Vamsi; G. S. Pradeep Ghantasala; P. Chandana; Seifedine Nimer Kadry; Tomas Blazauskas; Robertas Damasevicius (IEEE Access, 2019)

Improving the Response Time of M-Learning and Cloud Computing Environments Using a Dominant Firefly Approach. - Kaushik Sekaran; Mohammed S. Khan; Rizwan Patan; Amir H. Gandomi; Parimala Venkata Krishna; Suresh Kallam (IEEE Access, 2019)

Deep learning convolutional neural network (CNN) With Gaussian mixture model for predicting pancreatic cancer. - Kaushik Sekaran; P. Chandana; N. Murali Krishna; Seifedine Nimer Kadry (Multim. Tools Appl., 2020)

Content-based load balancing of tasks using task clustering for cost optimisation in cloud computing environment. - Kaushik Sekaran; P. Venkata Krishna 001 (Int. J. Adv. Intell. Paradigms, 2022)

Data Integrity Protection Using Multi-level Reconstructive Error Data and Auditing for Cloud Storage. - Kaushik Sekaran; B. Seetharamulu; J. Kalaivani 001; Vijayalaxmi C. Handaragall; B. Venkatesh (FICTA (2), 2023)

Hybrid gated recurrent unit and convolutional neural network-based deep learning mechanism for efficient shilling attack detection in social networks. - N. Praveena; Kapil Juneja; Mamoon Rashid 001; Alaa Omran Almagrabi; Kaushik Sekaran; Rajakumar Ramalingam; Muhammad Usman 018 (Comput. Electr. Eng., 2023)

FGF-CNN: Federated Gradient Fusion For Convolutional Neural Networks - A Collaborative Learning Approach. - M. Priyadharshini; Rashmi Sahay; Kaushik Sekaran (ANTS, 2024)

Quantum-Enhanced Elliptic Curve Cryptography Implementations for IoT: A Comparative Analysis. - Rashmi Sahay; Kaushik Sekaran; M. Priyadharshini (ANTS, 2024)

AirTFT: A Novel Transformer-Based Approach for Air Quality Prediction. - Kaushik Sekaran; M. Priyadharshini; Rashmi Sahay (ANTS, 2024)

A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson's Disease Classification. - Kaushik Sekaran; Awari Harshavardhan; N. Sandhya; C. Sudha; Gujjeti Nagaraju; Hanumanthu Bhukya; Rashmi Sahay; J. Kalaivani 001 (IEEE Access, 2024)