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@article{198005,
        author = {kaustubh darade and tushar mote},
        title = {TERMSTREAM EDGE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {11831-11835},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198005},
        abstract = {Secure media platforms face persistent challenges with manual metadata entry creating operational overhead and public S3 bucket exposure enabling avoidable security vulnerabilities. Traditional audio ingestion workflows require 2-5 minutes per track for manual metadata entry while 74% of media breaches originate from misconfigured public storage [1].
This paper presents TermStream Edge, a cloud-native zero-trust audio platform integrating Python automation, Amazon Cognito authentication, DynamoDB single-table metadata storage, and private S3 object storage with time-limited pre-signed URLs. Producers upload via automated client extracting ID3 tags (tinytag library, 98.7% accuracy), backend orchestrates secure S3 uploads, while listeners access cryptographically signed playback URLs post-Cognito authentication.
Real-world deployment processing 10K tracks demonstrates 95% reduction in ingestion time, zero public bucket exposure, sub-300ms URL generation latency, and $0.008/track/month operating cost. The serverless architecture achieves 99.99% uptime with DynamoDB single-table design supporting 1M+ access patterns. Edge CloudFront integration reduces playback latency 42% while maintaining NIST SP 800-207 zero-trust compliance through continuous authentication and least-privilege IAM policies.},
        keywords = {Zero Trust, Audio Streaming, Amazon S3, Amazon Cognito, DynamoDB, Pre-signed URLs, Cloud Security, Edge Delivery, Serverless Architecture, ID3 Metadata, Cloud Native.},
        month = {April},
        }