Ultimate crack and lack of any security in the statistical key exchange protocol with random signals and feedback
Zoltan Gingl, Laszlo B. Kish

TL;DR
This paper demonstrates a deterministic and absolute crack of Liu's statistical key exchange protocol with feedback, revealing that it offers no real security even under ideal conditions, as an eavesdropper can always recover the key.
Contribution
The paper provides a definitive attack on Liu's protocol, showing it is fundamentally insecure and can be broken without statistical analysis under idealized conditions.
Findings
Eavesdropper achieves 100% success rate in key recovery.
The attack works even with ideal noise spectrum and in the protocol's most secure phase.
No statistical analysis is needed for the eavesdropper to extract the key.
Abstract
We deterministically crack the secure, statistical key exchange protocol based on feedback proposed by Pao-Lo Liu [ J. Lightwave Techology 27 (2009) pp. 5230-34]. The crack is ultimate and absolute because it works under idealized conditions, and produces much higher data visibility for the eavesdropper than the protocol provides for Alice and Bob. Even with the most idealistic driving noise spectrum stated by Liu, during the most secure phase of the protocol, far away from the transients, where the system is already in its most secure steady-state, the eavesdropper has 100% success rate in identifying the key bits, at the same time when Alice and Bob have less than 100% success rate while using the Liu protocol. No statistics is needed, Eve can extract the secure bit from two samples of the signal in the two direction. Thus the Liu-protocol offers no security against the attack…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Statistical Modeling Techniques · Quantum Information and Cryptography · DNA and Biological Computing
