Artificial Intelligence enhanced Security Problems in Real-Time Scenario using Blowfish Algorithm
Yuvaraju Chinnam, Bosubabu Sambana

TL;DR
This paper discusses enhancing cloud security using hybrid encryption, specifically employing the Blowfish algorithm, to address confidentiality, authenticity, and data integrity issues in real-time cloud scenarios.
Contribution
It introduces a hybrid encryption model utilizing Blowfish to improve security in cloud computing environments, covering various security concerns.
Findings
Hybrid encryption effectively secures cloud data.
Blowfish algorithm enhances confidentiality and integrity.
Proposed model addresses multiple security vulnerabilities.
Abstract
In a nutshell, "the cloud" refers to a collection of interconnected computing resources made possible by an extensive, real-time communication network like the internet. Because of its potential to reduce processing costs, the emerging paradigm of cloud computing has recently attracted a large number of academics. The exponential expansion of cloud computing has made the rapid expansion of cloud services very remarkable. Ensuring the security of personal information in today's interconnected world is no easy task. These days, security is really crucial. Models of security that are relevant to cloud computing include confidentiality, authenticity, accessibility, data integrity, and recovery. Using the Hybrid Encryption this study, we cover all the security issues and leaks in cloud infrastructure.
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Taxonomy
TopicsCryptography and Data Security · Internet of Things and AI · Cloud Data Security Solutions
