Author

Muhammad Shaheer Bin Junaid

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#machine learning Preprint Oct 2026

Quantum Machine Learning Protection of Military Quantum Key Distribution Against Cryptographically Camouflaged Attacks

Quantum key distribution proves its protocol secure and says nothing about the hardware beneath it, so military and government operators fielding it for command-and-control keys monitor the channel for implementation attacks, and that monitoring has a blind spot. An adversary with a kleptographic foothold in the genera...

Muhammad Shaheer Bin Junaid · 0 citations

Preprint Aug 2026

Static Detection of Post-Quantum Cryptographic Algorithms in Stripped Binaries for Digital Forensic Examination and Migration Assurance

Kestrel is presented, a static analysis method that identifies an algorithm from the number-theoretic transform constant tables its arithmetic depends on, and applies it to the standardised lattice schemes ML-KEM and ML-DSA, for which no prior method could confirm, from a shipped binary alone, that a quantum-vulnerable...

Muhammad Shaheer Bin Junaid · 0 citations