A Design for Block Chain Service Platform
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31775-0_43
Reference14 articles.
1. Michel, R., Suchithra, R.:ADOBSVM: anomaly detection on block chain using support vector machine. Measure. Sens. 24, 100503 (2022)
2. Naga Rani, B.V., Visalakshi, P.: Block chain enabled auditing with optimal multi‐key homomorphic encryption technique for public cloud computing environment. Concurr. Comput. Pract. Exp. 34(22) (2022)
3. Sugitha, G., Solairaj, A., Suresh, J.: Block chain fostered cycle‐consistent generative adversarial network framework espoused intrusion detection for protecting IoT network. Trans. Emerg. Telecommun. Technol. 33(11) (2022)
4. Priya, J., Palanisamy, C.: Novel block chain technique for data privacy and access anonymity in smart healthcare. Intell. Autom. Soft Comput. 35(1), 243–259 (2023)
5. Raja, L., Periasamy, P.S.: A trusted distributed routing scheme for wireless sensor networks using block chain and jelly fish search optimizer based deep generative adversarial neural network (Deep-GANN) Technique. Wireless Pers. Commun. 126(2), 1101–1128 (2022)
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