Secure Multi-Party Collaboration Systems: Engineering End-to-End Encrypted Distributed Platforms for Enterprise Use

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@article{1715970,
      author = {Ilker Kanatli},
      title = {Secure Multi-Party Collaboration Systems: Engineering End-to-End Encrypted Distributed Platforms for Enterprise Use},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {4535-4549},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715970.pdf},
      abstract = {Modern enterprise collaboration platforms increasingly operate in distributed, cross-organizational environments where data privacy and system visibility must coexist. While end-to-end encryption provides strong guarantees for data confidentiality, it introduces significant limitations for monitoring, compliance, and operational control. This creates a fundamental tension between privacy and visibility in enterprise systems. This paper introduces a novel architectural framework for resolving this tension through a multi-layer secure collaboration model. The proposed approach combines end-to-end encryption, secure multi-party computation, trusted execution environments, and governance-based control mechanisms into a unified system design. Rather than treating privacy and visibility as competing objectives, the model separates them across different layers of computation and control. The study presents a conceptual and architectural analysis of how distributed systems can enable collaborative computation without exposing raw data. It demonstrates how layered security models can provide both strong privacy guarantees and meaningful system-level observability. By redefining how trust, computation, and visibility are distributed across system components, this work contributes to the design of next-generation enterprise platforms that are both secure and operationally transparent.},
      keywords = {End-To-End Encryption, Secure Multi-Party Computation, Trusted Execution Environments, Enterprise Security, Distributed Systems},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1715970}
  }