Enhancing Real-Time Streaming Content Security: An Adaptive QIM Watermarking Approach for Dynamic Tampering Detection
Outlet Title
AMCIS 2024 Proceedings
Document Type
Conference Proceeding
Publication Date
2024
Abstract
The legitimacy and integrity of live-streaming content remain a concern. According to studies, conventional watermarking solutions still need to manage the dynamic nature of streaming content. In this paper, we assess the restrictions of existing techniques and offer an adaptive quantitative index modulation (QIM) watermarking solution. Historical approaches struggled with dynamic frame rates, resolution changes, and real-time processing, resulting in insufficient tampering detection. The artifact uses adaptive Quantization Index Modulation (QIM) to distinguish itself in real-time streaming. The artifact detects manipulation via temporal discrepancies, content updates, and latency limits. This design research seeks a new watermarking solution. A comprehensive solution for ensuring authenticity, unaltered state, and reliable delivery of real-time streaming content is proposed. It stands out due to its adaptability to streaming media dynamics.
Recommended Citation
Sammangi, Harsha; Reddy Bojja, Giridhar; Sai Ambati, Loknath; Rahman, Md Jabir; and Liu, Jun, "Enhancing Real-Time Streaming Content Security: An Adaptive QIM Watermarking Approach for Dynamic Tampering Detection" (2024). Research & Publications. 395.
https://scholar.dsu.edu/bispapers/395