Paper 2023/524
AI Resistant (AIR) Cryptography
Abstract
highlighting a looming cyber threat emanating from fast developing artificial intelligence. This strategic threat is further magnified with the advent of quantum computers. AI and quantum-AI (QAI) represent a totally new and effective vector of cryptanalytic attack. Much as modern AI successfully completes browser search phrases, so it is increasingly capable of guessing a rather narrow a-priori list of plausible plaintexts. This guessing is most effective over device cryptography where the message space is limited. Matching these guesses with the captured ciphertext will greatly accelerate the code breaking process. We never faced such a plaintext-originated attack on a strategic level, and never had to prepare for it. Now we do. Proposing to apply a well-known martial art tactics: using the opponent's strength against them: constructing ciphertexts that would provide false answers to the AI attacker and lead them astray. We are achieving this defensive measure by pivoting away from the norm of small, known-size key and pattern-loaded ciphers. Using instead large keys of secret size, augmented with ad-hoc unilateral randomness of unbound limits, and deploying a pattern-devoid algorithm with a remarkably low computational burden, so it can easily handle very large keys. Thereby we achieve large as desired unicity distances. This strategy has become feasible just when the AI threat looms. It exploits three new technologies coming together: (i) non-algorithmic randomness, (ii) very large and inexpensive memory chips, and (iii) high throughout communication networks. These pattern-devoid, randomness rich ciphers also turn up to be an important option in the toolbox NIST prepares to meet the quantum challenge. Avoiding the computational load of mainstay ciphers, AIR-cryptography presents itself as the ciphers of choice for medical, military and other battery-limited devices for which data security is paramount. In summary: we are pointing out a fast emerging cyber challenges, and laying out a matching cryptographic answer.
Metadata
- Available format(s)
- Category
- Attacks and cryptanalysis
- Publication info
- Preprint.
- Keywords
- AIcryptanalysisunicity distancedecoy-tolerance
- Contact author(s)
- gideon samid @ case edu
- History
- 2023-04-12: approved
- 2023-04-11: received
- See all versions
- Short URL
- https://ia.cr/2023/524
- License
-
CC BY-NC-ND
BibTeX
@misc{cryptoeprint:2023/524, author = {Gideon Samid}, title = {{AI} Resistant ({AIR}) Cryptography}, howpublished = {Cryptology {ePrint} Archive, Paper 2023/524}, year = {2023}, url = {https://eprint.iacr.org/2023/524} }