Paper Title
INVISTREAM: A Live-Video Capture Steganography with Tamper Detection and Self-Destruction

Abstract
In the era of rapid digital communication, safeguarding sensitive information transmitted over live captured video has become increasingly critical. Keeping data private and intact during transmission is a significant challenge. This project proposes a novel steganographic framework that securely embeds hidden data into real-time video, ensuring high imperceptibility and robustness. The proposed approach embeds confidential data into video frames using the Discrete Cosine Transform (DCT), ensuring imperceptibility and resilience against common signal distortions and data extraction is achieved at the receiver end. To enhance security beyond traditional steganographic techniques, the system integrates a boundary-based tamper detection mechanism. By continuously analyzing frame boundaries and pixel consistency across consecutive frames, the system can accurately detect unauthorized modifications or interception attempts during transmission. Upon detection of tampering, a self-destruction mechanism is triggered, which in turn stops the video and thereby preventing any meaningful information leakage. This work highlights an effective fusion of frequency-domain steganography and intelligent tamper detection, making it suitable for secure real-time applications such as surveillance, military communication, and confidential multimedia transmission. Keywords - Imperceptibility, Robust, Frequency-Domain, Interception