Abstract
As we know that when we exchange data through the network, system needs more security and approval. Generally, crisp algorithms are used for extraction and identification of data. When we use crisp logic, it is very complex and tedious work, so we recommend a Fuzzy approach for data extraction. Security is the main part of data exchange. In this article, we have to discuss how Fuzzy logic is used in Blowfish algorithm to secure communication. Multimodal images use the rules of the Fuzzy logic Fuzzy inference system to design a 64-bit Blowfish algorithm that increases security and improves performance. This algorithm helps protect data from unauthorized access and runs faster. Our proposed algorithm is designed using MATLAB R2017a. We also discussed the pros and cons of Fuzzy and Blowfish.
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More, S.S., Jadhav, B.T., Narain, B. (2023). Privacy Conserving Using Fuzzy Approach and Blowfish Algorithm for Malicious Personal Identification. In: Dutta, P., Bhattacharya, A., Dutta, S., Lai, WC. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1348. Springer, Singapore. https://doi.org/10.1007/978-981-19-4676-9_43
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DOI: https://doi.org/10.1007/978-981-19-4676-9_43
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