Modern Cryptographic Frameworks in Cloud Environments for Enhancing Mobile Data Security

Abstract

Background Details: Ensuring mobile data security has become much more difficult due to the quick uptake of cloud environments and mobile technologies. In order to secure sensitive data in mobile-cloud ecosystems, modern cryptographic frameworks use scalable designs and sophisticated encryption techniques to handle issues including unauthorized access, data breaches, and privacy concerns.
Objectives: The purpose of this study is to assess contemporary cryptographic frameworks for protecting mobile data in cloud environments (40 words). It investigates how well they protect privacy, confidentiality, and integrity while weighing performance trade-offs to find the best ways to improve data security in dynamic cloud environments
Methods: Cryptographic techniques like secure key management, attribute-based encryption, and homomorphic encryption are compared. Through case studies and experimental implementations, cloud-based frameworks are assessed for security, scalability, and performance, emphasizing issues and practical implications.
Empirical Results: By facilitating secure computation and effective access management, respectively, attribute-based encryption and homomorphic encryption greatly improve mobile data security, according to the analysis. For both small- and enterprise-level cloud apps, empirical data show enhanced security metrics with negligible performance trade-offs.

Conclusion (40 words): A strong basis for mobile data security in cloud contexts is offered by contemporary cryptographic frameworks. They enable enterprises to successfully embrace cloud technologies by tackling new threats and guaranteeing data confidentiality, striking a balance between security, performance, and scalability.