Favored Encryption Techniques for Cloud Storage

Song, Chungsik; Park, Younghee; Gao, Jerry; Nanduri, Sri Kinnera; Zegers, William

doi:10.1109/bigdataservice.2015.75

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…Kotha et al [13] explored various problems and challenges of data sharing in cloud environments, highlighting the need for robust encryption and access control mechanisms. Song et al [14] further examined and compared current encryption and key management techniques in cloud storage, providing a foundation for the encryption strategy employed in our framework.…”

Section: Related Workmentioning

confidence: 99%

Privacy and Security Mechanisms for B2B Data Sharing: A Conceptual Framework

Li,

Tse,

Chen

2024

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In the age of digitalization, business-to-business (B2B) data sharing is becoming increasingly important, enabling organizations to collaborate and make informed decisions as well as simplifying operations and hopefully creating a cost-effective virtual value chain. This is crucial to the success of modern businesses, especially global business. However, this approach also comes with significant privacy and security challenges, thus requiring robust mechanisms to protect sensitive information. After analyzing the evolving status of B2B data sharing, the purpose of this study is to provide insights into the design of theoretical framework solutions for the field. This study adopts technologies including encryption, access control, data anonymization, and audit trails, with the common goal of striking a balance between facilitating data sharing and protecting data confidentiality as well as data integrity. In addition, emerging technologies such as homomorphic encryption, blockchain, and their applicability as well as advantages in the B2B data sharing environment are explored. The results of this study offer a new approach to managing complex data sharing between organizations, providing a strategic mix of traditional and innovative solutions to promote secure and efficient digital collaboration.

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Section: Related Workmentioning

confidence: 99%