DNA Cryptography for Enhanced Data Storage Security in Cloud Environments

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Mithun Sarker


Despite the persistent security challenges inherent in cloud systems, a distributed cloud environment necessitates an access control model that is contextually aware to effectively manage these challenges. This model should incorporate a role activation process based on the user's contextual information. Within this role activation process, the rationale behind data collection and usage is disclosed, enabling administrators to establish context-based policies. Consequently, role permissions are dynamically activated based on the association of roles with context. To mitigate complications in the role-based access control model, users are categorized into classes or groups, each with its own access control standards. Access to specific resources is determined by the user's identity upon request.


Traditional access control models often fall short in cloud environments due to their inability to address all aspects of the diverse entities, resources, and users present. In the proposed access control system with perception reasoning, entities are expanded using Extensible Access Control Markup Language (XACML), while a trust module monitors user behavior dynamically, detecting and restricting malicious users attempting illegal data access. This includes assigning an identity tag to malicious users, which involves task and data classification along with database tagging.

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How to Cite
Sarker, M. . (2024). DNA Cryptography for Enhanced Data Storage Security in Cloud Environments. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 4(1), 262–269. https://doi.org/10.60087/jaigs.v4i1.141