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Quantum Gatekeeper uses VQC for secure image steganography with multi-factor context

Researchers have developed a novel steganography framework called Quantum Gatekeeper, which embeds data within images using a combination of cryptographic techniques and quantum circuits. Successful extraction of hidden information requires precise matching of a password, shared secret, context string, and image signature. The system utilizes variational quantum circuits (VQC) to derive encryption keys and is evaluated on IBM's superconducting quantum hardware to assess its performance under physical noise. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Introduces a novel steganography technique leveraging quantum circuits for enhanced data security.

RANK_REASON This is a research paper detailing a new steganography framework.

Read on arXiv cs.AI →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 · Sahil Tomar, Sandeep Kumar ·

    Quantum Gatekeeper: Multi-Factor Context-Bound Image Steganography with VQC Based Key Derivation on Quantum Hardware

    arXiv:2604.26413v1 Announce Type: cross Abstract: This paper presents Quantum Gatekeeper, a context-bound image steganography framework where successful payload recovery depends on both cryptographic decryption and the reconstruction of a precise extraction path. The system integ…

  2. arXiv cs.AI TIER_1 · Sandeep Kumar ·

    Quantum Gatekeeper: Multi-Factor Context-Bound Image Steganography with VQC Based Key Derivation on Quantum Hardware

    This paper presents Quantum Gatekeeper, a context-bound image steganography framework where successful payload recovery depends on both cryptographic decryption and the reconstruction of a precise extraction path. The system integrates lossless least significant bit (LSB) embeddi…