Securing Enterprise API Ecosystems with Blockchain Authentication and Context-Aware Access Control Mechanisms
Keywords:
Blockchain Authentication; Enterprise API Security; Context-Aware Access Control; Decentralized Identity Management; Smart Contracts; Zero Trust Security; Cryptographic Verification; API Gateway Security; Dynamic Authorization; Distributed Ledger Technology.Abstract
Enterprise application ecosystems increasingly depend on interconnected Application Programming Interfaces (APIs) to facilitate secure communication, data exchange, and business process automation across distributed cloud environments. However, conventional authentication and access control mechanisms face challenges involving identity impersonation, credential theft, unauthorized access, centralized trust dependencies, and evolving cyber threats. This research proposes an integrated security framework combining blockchain-based authentication with context-aware access control mechanisms to strengthen enterprise API security. The proposed architecture utilizes decentralized identity verification, cryptographic authentication, smart contracts, and distributed ledger technology to establish transparent and tamper-resistant identity management. Context-aware access control evaluates dynamic security attributes, including user identity, device integrity, geographic location, access time, behavioral patterns, and resource sensitivity, before authorizing API requests. The framework integrates policy-based authorization with continuous verification to minimize excessive privileges and reduce unauthorized interactions. A layered architecture incorporating API gateways, blockchain identity services, policy decision points, and security monitoring components supports scalable enterprise deployment. The proposed methodology evaluates authentication reliability, authorization accuracy, request processing latency, scalability, and resistance to common API security threats. By combining decentralized trust management with adaptive authorization decisions, the framework aims to improve confidentiality, integrity, accountability, and operational resilience across enterprise API ecosystems. This approach provides a foundation for secure, scalable, and intelligent API governance in modern distributed enterprise infrastructures.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
License Terms
Journal of Emerging Intelligence and Engineering Technologies is an open-access journal. Unless otherwise stated, all articles published in the journal are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Full license text: https://creativecommons.org/licenses/by-nc/4.0/
Under this license, you are free to:
- Share: copy and redistribute the material in any medium or format.
- Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution: You must give appropriate credit to the original author(s) and the source. Credit should include the article title, author names, journal name, volume, issue, year, and DOI where available. You must also provide a link to the license and indicate whether changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor or the journal endorses you or your use.
- NonCommercial: You may not use the material for commercial purposes. Commercial purposes are those primarily intended for, or directed toward, commercial advantage or monetary compensation.
- No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices
- You do not have to comply with the license for parts of the material that are in the public domain, or where your use is permitted by an applicable exception or limitation, such as fair use or fair dealing.
- No warranties are given. The license may not give you all the permissions you need for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
- Third-party content in an article, such as figures, tables, or images reproduced from other sources, may be under different terms. It is covered by this license only if it is stated in the credit line.
Copyright
Authors keep the copyright of their work. By publishing, they grant the Journal of Emerging Intelligence and Engineering Technologies the right of first publication under the CC BY-NC 4.0 license.
Commercial Use
Anyone who wants to use published material for commercial purposes must get written permission from the copyright holder(s). Requests can be sent to the journal's editorial office at [editorial email address].
