American Psychological Association 6th edition

Chakraborty, P. S., Gavhane, O. S., & Tripathy, S. (2023). SEVCOD: secure and efficient verifiable computation on outsourced data. Cluster Computing: The Journal of Networks, Software Tools and Applications, 1-15. https://doi.org/10.1007/s10586-023-04190-9

ISO-690 (author-date, English)

CHAKRABORTY, Partha Sarathi, GAVHANE, Omkar Santosh and TRIPATHY, Somanath, 2023. SEVCOD: secure and efficient verifiable computation on outsourced data. Cluster Computing: The Journal of Networks, Software Tools and Applications. 8 December 2023. P. 1-15. DOI 10.1007/s10586-023-04190-9.

Modern Language Association 9th edition

Chakraborty, P. S., O. S. Gavhane, and S. Tripathy. “SEVCOD: Secure and Efficient Verifiable Computation on Outsourced Data”. Cluster Computing: The Journal of Networks, Software Tools and Applications, Dec. 2023, pp. 1-15, https://doi.org/10.1007/s10586-023-04190-9.

Mohr Siebeck - Recht (Deutsch - Österreich)

Chakraborty, Partha Sarathi/Gavhane, Omkar Santosh/Tripathy, Somanath: SEVCOD: secure and efficient verifiable computation on outsourced data, Cluster Computing: The Journal of Networks, Software Tools and Applications 2023, 1-15.

Emerald - Harvard

Chakraborty, P.S., Gavhane, O.S. and Tripathy, S. (2023), “SEVCOD: secure and efficient verifiable computation on outsourced data”, Cluster Computing: The Journal of Networks, Software Tools and Applications, pp. 1-15.

Warning: These citations may not always be 100% accurate.