Abstract
A Blockchain is a new technology and with semantic layer, it can bring exceptional changes in the corporate social responsibility. This paper introduced a hybrid revolutionary approach to Semantic Blockchain and a relative fuzzy approach. Blockchain is characterized by a proof of work approach, which logic is to be solved by a miner. In depth analysis has been carried out by focusing on the potentiality of semantic proof of work, which adds a lot of complexity to the mining scope. The fuzzy hashing approach is the key to allow a better application of this approach. The authors proved that proposed fuzzy hash algorithm generated the required results in less minutes as compared to traditional hash alrorithms which increased the efficiency of the blockchain.
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References
Li, M.-H.C., Al-Refaie, A., Yang, C.-Y.: DMAIC approach to improve the capability of SMT solder printing process. IEEE Trans. Electron. Packag. Manuf. 31, 126–133 (2008)
Αθηναίου, Μ.: The state of IT security from a confidentiality-focused perspective and the role of IT risk management (2015)
Fowler, M.D.: Linking the public benefit to the corporation: blockchain as a solution for certification in an age of do-good business. Vand. J. Ent. Tech. L. 20, 881 (2017)
Santarcangelo, V., Fanari, F., Oddo, G., Ruoto. A., Mosca, M., Ribaudo, V., Di Lecce, M.: Esperienze di Ricerca e Sviluppo applicate alle brillanti realtà del nostro sud. RCE Multimedia (2018)
Banerjee, M., Lee, J., Choo, K.-K.R.: A blockchain future for internet of things security: a position paper. Digital Commun. Netw. 4, 149–160 (2018)
Giacalone, M., Massa, E., Sinitò, D.C., Santarcangelo, V.: Block-chain oriented system for the management of processes. Data Sci. Soc. Res. 2019 Book Abstracts 68
Wang, Z., Lin, J., Cai, Q., Wang, Q., Jing, J., Zha, D.: Blockchain-based certificate transparency and revocation transparency. Presented at the International Conference on Financial Cryptography and Data Security (2018)
Ruta, M., Scioscia, F., Ieva, S., Capurso, G., Di Sciascio, E.: Semantic blockchain to improve scalability in the internet of things. Open J. Internet Things (OJIOT) 3, 46–61 (2017)
Saberi, S., Kouhizadeh, M., Sarkis, J., Shen, L.: Blockchain technology and its relationships to sustainable supply chain management. Int. J. Prod. Res. 57, 2117–2135 (2019)
Atzori, M.: Blockchain technology and decentralized governance: Is the state still necessary? Available at SSRN 2709713 (2015)
Ruta, M., Scioscia, F., Ieva, S., Capurso, G., Loseto, G., Gramegna, F., Pinto, A., Di Sciascio, E.: Semantic-enhanced blockchain technology for smart cities and communities. Presented at the 3rd Italian conference on ICT (2017)
Kim, H.M., Laskowski, M.: Toward an ontology-driven blockchain design for supply-chain provenance. Intell. Syst. Account. Finan. Manage. 25, 18–27 (2018)
Thyagaraju, G., Kulkarni, U.P.: Design and implementation of user context aware recommendation engine for mobile using Bayesian network, fuzzy logic and rule base. Int. J. Pervasive Comput. Commun. 8, 133–157 (2012)
Li, H., Tian, H., Zhang, F., He, J.: Blockchain-based searchable symmetric encryption scheme. Comput. Electr. Eng. 73, 32–45 (2019)
Rantos, K., Drosatos, G., Demertzis, K., Ilioudis, C., Papanikolaou, A.: Blockchain-based consents management for personal data processing in the IoT ecosystem. Presented at the ICETE (2) (2018)
Markopoulos, E., Kirane, I.S., Balaj, D., Vanharanta, H.: Artificial intelligence and blockchain technology adaptation for human resources democratic ergonomization on team management. Presented at the International Conference on Human Systems Engineering and Design: Future Trends and Applications (2019)
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Santarcangelo, V. et al. (2022). Blockchain Fuzzy as Innovative Tool for the Certification of Corporate Social Responsibility. In: Pan, JS., Balas, V.E., Chen, CM. (eds) Advances in Intelligent Data Analysis and Applications. Smart Innovation, Systems and Technologies, vol 253. Springer, Singapore. https://doi.org/10.1007/978-981-16-5036-9_28
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DOI: https://doi.org/10.1007/978-981-16-5036-9_28
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