APA (7th ed.) Citation

Campanile, L., Cantiello, P., Iacono, M., Marulli, F., & Mastroianni, M. (2021). Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization. Computational Science and Its Applications - ICCSA 2021, 12956, 3-14. https://doi.org/10.1007/978-3-030-87010-2_1

Chicago Style (17th ed.) Citation

Campanile, Lelio, Pasquale Cantiello, Mauro Iacono, Fiammetta Marulli, and Michele Mastroianni. "Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization." Computational Science and Its Applications - ICCSA 2021 12956 (2021): 3-14. https://doi.org/10.1007/978-3-030-87010-2_1.

MLA (9th ed.) Citation

Campanile, Lelio, et al. "Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization." Computational Science and Its Applications - ICCSA 2021, vol. 12956, 2021, pp. 3-14, https://doi.org/10.1007/978-3-030-87010-2_1.