1: Virupaksha, S. & Dondeti, V. (2021). Anonymized Noise addition in Subspaces for Privacy Preserved Data Mining in High Dimensional continuous data, Peer-to-Peer Networking and Applications, 14, 1608–1628 (Springer Unpaid SCI-E, Scopus Q1 Journal, IF 2.7, h-index 26)

2: Shashidhar V & D. Venkatesulu “Subspace based noise addition for Privacy preserved Data mining on high dimensional continuous data” Ambient Intelligence and Humanized Computing, DOI: 10.1007/s12652-020-01881-8 (Springer Unpaid SCIE and Unpaid Scopus Journal Q1 Journal I.F 4.5, h-index 28)

3: Shashidhar Virupaksha & D. Venkatesulu (2019): Subspace-based aggregation for enhancing utility, information measures, and cluster identification in privacy preserved data mining on high-dimensional continuous data, International Journal of Computers and Applications, DOI: 10.1080/1206212X.2019.1686211 (Taylor and Francis Scopus Unpaid Journal, h-index 13)

4: Shashidhar, V. Venkatesulu, D. (2018). Anomaly detection for RBAC system in UNIX/LINUX environment with user behavior IJET (UAE) 2018, 7(4) (Scopus Indexed)

5: Shashidhar V, Subramanium V (2011), Customer Segmentation of Bank based on Data Mining Security Value based Heuristic Approach as a Replacement to K-means Segmentation. IJCA April 2011

6: Shashidhar V, Divya G “Data Privacy in Online Shopping” Computer Communication, Networking and Internet Security Springer 199-208 (Scopus indexed)

7: Shashidhar V, Brahmarambha “Data mining in Banking” IEEE Conference Bangalore July 2016 (Scopus indexed)

8: Shashidhar V, G Sahoo, Anantha Sayanam V. Privacy Preservation Algorithm in Data Mining for CRM Systems” IEEE Conference Chennai 2014 (Scopus indexed)

9: Shashidhar V, Zakir Shaik Privacy Preserving Data mining for Heart Disease Detection ICIAC Conference 2016 GITAM University.