Modularization of a Large-Scale Business Application: A Case Study. - Santonu Sarkar; Shubha Ramachandran; G. Sathish Kumar; Madhu K. Iyengar; K. Rangarajan; Saravanan Sivagnanam (IEEE Softw., 2009)

Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure. - E. Suganya; N. Aravindhraj; S. Sountharrajan; G. Sathish Kumar; C. Rajan (Int. J. Adv. Intell. Paradigms, 2020)

Securing private information by data perturbation using statistical transformation with three dimensional shearing. - G. Sathish Kumar; K. Premalatha (Appl. Soft Comput., 2021)

An improved attribute based encryption model with linked hashing technique for cloud data security. - G. Sathish Kumar; A. Ramesh Babu (ICCCNT, 2022)

Privacy preserving data mining - past and present. - G. Sathish Kumar; K. Premalatha (Int. J. Bus. Intell. Data Min., 2022)

STIF: Intuitionistic fuzzy Gaussian membership function with statistical transformation weight of evidence and information value for private information preservation. - G. Sathish Kumar; K. Premalatha (Distributed Parallel Databases, 2023)

No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user's private and sensitive data. - G. Sathish Kumar; K. Premalatha; G. Uma Maheshwari; P. Rajesh Kanna (Expert Syst. Appl., 2023)

A synergistic framework for histopathologic cancer detection using Epicurve Search -PSB model with surrosec Optimizer. - P. Nancy; V. Rajeshram; G. Sathish Kumar; P. Dhivya (Biomed. Signal Process. Control., 2024)

Optimal design of PV-SMES systems for power quality enhancement using pelicon optimized multi-level inverter model. - G. Sathish Kumar; M. Krishna Paramathma (Comput. Electr. Eng., 2024)

Differential privacy scheme using Laplace mechanism and statistical method computation in deep neural network for privacy preservation. - G. Sathish Kumar; K. Premalatha; G. Uma Maheshwari; P. Rajesh Kanna; G. Vijaya; Mathappan Nivaashini (Eng. Appl. Artif. Intell., 2024)

Multi-modal emotion recognition through adaptive normalization fusion with alpha Gaussian dropout in MCNN architecture. - M. Murugesan; P. Dhivya; P. Rajesh Kanna; G. Sathish Kumar (Signal Image Video Process., 2024)

An efficient optimized deep learning model for the risk prediction of arterial stiffness in diabetes patients. - A. Mohana Priya; P. Rajesh Kanna; S. Vanithamani; G. Sathish Kumar (Biomed. Signal Process. Control., 2025)

ZFNet and deep Maxout network based cancer prediction using gene expression data. - G. Vijaya; K. Ramesh 011; G. Sathish Kumar (Biomed. Signal Process. Control., 2025)

Deep learning approach using modified DarkNet-53 for renal cell carcinoma grading. - G. Sathish Kumar; G. Uma Maheshwari; C. Selvan; M. Nagasuresh; D. Rasi 002; P. Swathypriyadharsini; Sathish Kumar Danasegaran (Int. J. Bioinform. Res. Appl., 2025)