Securing Cloud Data for Efficient Keyword-Based Retrieval and Enhanced Privacy using Hybrid Encryption and DMBWO Optimization | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Securing Cloud Data for Efficient Keyword-Based Retrieval and Enhanced Privacy using Hybrid Encryption and DMBWO Optimization Aakash Chaudhary This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4487760/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Recently, there has been an increasing reliance on cloud computing for storing and processing data, along with the need to ensure strong security and privacy measures. Current methods face difficulties in efficiently optimizing keyword generation, securing cryptographic keys, and improving data retrieval efficiency in cloud environments. Therefore, this paper introduces a methodology for securing and retrieving sensitive data in cloud computing. It starts with Keyword extraction from file using the Rapid Automatic Keyword Extraction (RAKE) algorithm, which ranks phrases based on their significance to select relevant keywords. Then, the Optimal Key Generation uses the Directional Mutated Beluga Whale Optimization (DMBWO) Algorithm to improve key generation and enhance cryptographic security. The Encryption phase employs the Hybrid Serpent Blowfish (HSB) Algorithm for robust data protection. For data retrieval, K-means clustering is used in the Upload phase to facilitate faster searches through organized data clusters, while a Lookup Table mechanism enhances search efficiency by associating keywords with encrypted data and creating trapdoors for secure user requests. Finally, in the Decryption phase, the HSB algorithm reverses encryption securely to ensure accessibility of data. Cloud Computing Keyword Search Security Privacy Optimization Data Clustering Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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