Authenticated delivery of BB84-keyed messages through lossy image channels using hardware-derived keys

Abstract Pipelines that key image-based information hiding with quantum key distribution (QKD) assume the stego image arrives bit-exact, and keys from noisy quantum hardware are unusable without reconciliation. This work addresses both. BB84 runs on IBM’s ibm fez are reconciled with Cascade, confirmed by hashing and compressed by Toeplitz privacy amplification; at 4096 qubits every run yields 1,110–1,237 secure bits, identical for both parties, at a quantum bit error rate of at most 0.98%. The keys protect messages with authenticated encryption, Reed– Solomon coding and key-driven embedding in discrete cosine transform (DCT) or wavelet domains. A pre-registered evaluation on 300 images shows that a key-driven least-significant-bit reference scheme, representative of lossless-channel designs, recovers 0 messages after JPEG recompression, while coded DCT embedding delivers at least 99% of messages at every quality tested; restricted post hoc to images above 40 dB peak signal-to-noise ratio, it carries 0.218 bits per pixel at quality 95 and 0.005 at quality 50. A hardware-keyed message decrypts and verifies after JPEG quality 50. This robustness costs detectability: at the smallest payload tested, a simple learned detector separates the robust variants from covers with an area under the curve of at least 0.797, against 0.517 for the reference scheme. The keys characterize hardware noise rather than deployable secrecy, and the security estimate is asymptotic.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-05
DOI
https://doi.org/10.21203/rs.3.rs-11624292/v1
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Authenticated delivery of BB84-keyed messages through lossy image channels using hardware-derived keys

Sunil G. Bhirud, Mukta Nivelkar, Arnav Singhal, Kush Agarwal et al.
Research Square
Advanced Steganography and Watermarking Techniques
preprint

Authenticated delivery of BB84-keyed messages through lossy image channels using hardware-derived keys

Sunil G. Bhirud, Mukta Nivelkar, Arnav Singhal, Kush Agarwal, Aloki Upadhyay, Hakimuddin Slatewala
preprint en

Abstract

Abstract Pipelines that key image-based information hiding with quantum key distribution (QKD) assume the stego image arrives bit-exact, and keys from noisy quantum hardware are unusable without reconciliation. This work addresses both. BB84 runs on IBM’s ibm fez are reconciled with Cascade, confirmed by hashing and compressed by Toeplitz privacy amplification; at 4096 qubits every run yields 1,110–1,237 secure bits, identical for both parties, at a quantum bit error rate of at most 0.98%. The keys protect messages with authenticated encryption, Reed– Solomon coding and key-driven embedding in discrete cosine transform (DCT) or wavelet domains. A pre-registered evaluation on 300 images shows that a key-driven least-significant-bit reference scheme, representative of lossless-channel designs, recovers 0 messages after JPEG recompression, while coded DCT embedding delivers at least 99% of messages at every quality tested; restricted post hoc to images above 40 dB peak signal-to-noise ratio, it carries 0.218 bits per pixel at quality 95 and 0.005 at quality 50. A hardware-keyed message decrypts and verifies after JPEG quality 50. This robustness costs detectability: at the smallest payload tested, a simple learned detector separates the robust variants from covers with an area under the curve of at least 0.797, against 0.517 for the reference scheme. The keys characterize hardware noise rather than deployable secrecy, and the security estimate is asymptotic.

Research Square
COEP Technological University (IN)
Advanced Steganography and Watermarking Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon