Zk-SNARKs As A Cryptographic Solution For Data Privacy And Security In The Digital Era
DOI:
https://doi.org/10.35335/computational.v12i2.122Keywords:
Cryptography, Data Privacy, Digital Security, zk-SNARKsAbstract
This research brings the concept of zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) in the context of data security and privacy in the digital world. zk-SNARKs is a cryptographic technology that allows individuals to prove a statement or knowledge without having to reveal the actual details of the information. We illustrate this concept through a simple example of proving age over 18 without revealing the actual date of birth. This research highlights the importance of maintaining data privacy in various technological applications, including the use of zk-SNARKs in blockchain to maintain transaction privacy and personal data protection in increasingly sophisticated applications. However, the implementation of zk-SNARKs requires deep mathematical understanding and strong data security concerns. With great potential to support data privacy and security in the evolving digital era, zk-SNARKs is a highly relevant tool in addressing privacy-related challenges in the digital world. The conclusion of this research is that zk-SNARKs is an important tool in maintaining data privacy and security in the digital age. With its ability to allow individuals to prove knowledge or assertions without revealing actual details of information, this technology has wide applications in various sectors, including finance, data management, and data privacy protection. However, it should be emphasized that the implementation of zk-SNARKs requires extra care in securing the system and ensuring that the technology is used properly to maintain high data privacy and security. With further development and understanding in this technology, zk-SNARKs can be an integral component in building a safer and more private digital world.
References
Aldawood, H., & Skinner, G. (2019). Reviewing cyber security social engineering training and awareness programs—Pitfalls and ongoing issues. Future Internet, 11(3), 73.
Anani, G. E., Lamptey, H. K., & Frempong, C. O. (2021). Redefining Literacy in a Digital Age: The Role of Instructors in Promoting Digital Literacy. Journal of English Language Teaching and Applied Linguistics, 3(8), 20–25.
Atlam, H. F., & Wills, G. B. (2020). IoT security, privacy, safety and ethics. Digital Twin Technologies and Smart Cities, 123–149.
Banerjee, A., Clear, M., & Tewari, H. (2020). Demystifying the Role of zk-SNARKs in Zcash. 2020 IEEE Conference on Application, Information and Network Security (AINS), 12–19.
Barth, S., de Jong, M. D. T., Junger, M., Hartel, P. H., & Roppelt, J. C. (2019). Putting the privacy paradox to the test: Online privacy and security behaviors among users with technical knowledge, privacy awareness, and financial resources. Telematics and Informatics, 41, 55–69.
Bonfield, C. A., Salter, M., Longmuir, A., Benson, M., & Adachi, C. (2020). Transformation or evolution?: Education 4.0, teaching and learning in the digital age. Higher Education Pedagogies, 5(1), 223–246.
Dhagarra, D., Goswami, M., & Kumar, G. (2020). Impact of trust and privacy concerns on technology acceptance in healthcare: an Indian perspective. International Journal of Medical Informatics, 141, 104164.
ElSheikh, M., & Youssef, A. M. (2022). Dispute-free scalable open vote network using zk-SNARKs. ArXiv Preprint ArXiv:2203.03363.
Guan, Z., Wan, Z., Yang, Y., Zhou, Y., & Huang, B. (2020). BlockMaze: An efficient privacy-preserving account-model blockchain based on zk-SNARKs. IEEE Transactions on Dependable and Secure Computing, 19(3), 1446–1463.
Gui, G., Liu, M., Tang, F., Kato, N., & Adachi, F. (2020). 6G: Opening new horizons for integration of comfort, security, and intelligence. IEEE Wireless Communications, 27(5), 126–132.
Herden, C. J., Alliu, E., Cakici, A., Cormier, T., Deguelle, C., Gambhir, S., Griffiths, C., Gupta, S., Kamani, S. R., & Kiratli, Y.-S. (2021). “Corporate Digital Responsibility” New corporate responsibilities in the digital age. Sustainability Management Forum| NachhaltigkeitsManagementForum, 29(1), 13–29.
Hoy, R. F., & Chambers, D. C. (2020). Silica‐related diseases in the modern world. Allergy, 75(11), 2805–2817.
Hu, X., Zhou, W., Yin, J., Cheng, G., Yan, S., & Wu, H. (2023). Towards verifiable and privacy-preserving account model on a consortium blockchain based on zk-SNARKs. Peer-to-Peer Networking and Applications, 1–18.
Kosba, A., Papadopoulos, D., Papamanthou, C., & Song, D. (2020). {MIRAGE}: Succinct Arguments for Randomized Algorithms with Applications to Universal {zk-SNARKs}. 29th USENIX Security Symposium (USENIX Security 20), 2129–2146.
Li, X., Zheng, Y., Xia, K., Sun, T., & Beyler, J. (2020). Phantom: An efficient privacy protocol using zk-SNARKs based on smart contracts. Cryptology EPrint Archive.
Muhammad Wali, S. T., Efitra, S., Kom, M., Sudipa, I. G. I., Kom, S., Heryani, A., Sos, S., Hendriyani, C., Rakhmadi Rahman, S. T., & Kom, M. (2023). Penerapan & Implementasi Big Data di Berbagai Sektor (Pembangunan Berkelanjutan Era Industri 4.0 dan Society 5.0). PT. Sonpedia Publishing Indonesia.
Namasudra, S. (2022). A secure cryptosystem using DNA cryptography and DNA steganography for the cloud-based IoT infrastructure. Computers and Electrical Engineering, 104, 108426.
Nitulescu, A. (2020). zk-SNARKs: a gentle introduction. Technical report.
Ozdemir, A., & Boneh, D. (2022). Experimenting with Collaborative {zk-SNARKs}:{Zero-Knowledge} Proofs for Distributed Secrets. 31st USENIX Security Symposium (USENIX Security 22), 4291–4308.
Panait, A.-E., & Olimid, R. F. (2021). On using zk-SNARKs and zk-STARKs in blockchain-based identity management. Innovative Security Solutions for Information Technology and Communications: 13th International Conference, SecITC 2020, Bucharest, Romania, November 19–20, 2020, Revised Selected Papers 13, 130–145.
Park, J., Kim, H., Kim, G., & Ryou, J. (2020). Smart contract data feed framework for privacy-preserving oracle system on blockchain. Computers, 10(1), 7.
Pinto, A. M. (2020). An introduction to the use of zk-SNARKs in blockchains. Mathematical Research for Blockchain Economy: 1st International Conference MARBLE 2019, Santorini, Greece, 233–249.
Qi, H., Cheng, Y., Xu, M., Yu, D., Wang, H., & Lyu, W. (2023). Split: A Hash-based Memory Optimization Method for Zero-Knowledge Succinct Non-Interactive Argument of Knowledge (zk-SNARK). IEEE Transactions on Computers.
Satybaldy, A., & Nowostawski, M. (2020). Review of techniques for privacy-preserving blockchain systems. Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 1–9.
Woods, S. A., Ahmed, S., Nikolaou, I., Costa, A. C., & Anderson, N. R. (2020). Personnel selection in the digital age: A review of validity and applicant reactions, and future research challenges. European Journal of Work and Organizational Psychology, 29(1), 64–77.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Imam Santoso, Yuli Christyono
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
