Academic Journal

DaChE: a proof-of-concept for chaos-based database security with dynamic data motion.

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Τίτλος: DaChE: a proof-of-concept for chaos-based database security with dynamic data motion.
Συγγραφείς: Weinberg, Abraham Itzhak1 (AUTHOR) aviw2010@gmail.com
Πηγή: International Journal of Information Security. Oct2026, Vol. 25 Issue 5, p1-10. 10p.
Θεματικοί όροι: *Database security, *Data encryption, *Data security, *Distributed computing, *Advanced Encryption Standard, Benchmark problems (Computer science), Lyapunov exponents, Collision detection (Computer animation)
Περίληψη: Database security remains fundamentally constrained by static defenses: fixed data locations and long-lived encryption keys give attackers a stationary target once perimeter defenses are breached. This paper makes three contributions toward an alternative, motion-based paradigm. First, we introduce the Database in Motion Chaos Encryption (DaChE) algorithm, in which AES-256-encrypted data shards are bound to balls that move through a Bunimovich stadium billiard, with decryption released only when a ball collides with a matching key-holding obstacle; a MapReduce-style pipeline aggregates the resulting partial query results. Second, we provide a proof-of-concept implementation and empirically validate the algorithm's core chaotic-dynamics assumption, measuring a positive Lyapunov exponent ( λ = 0.47 ± 0.17 across 10 independent trials) and a corresponding key-sensitivity effect in which near-identical initial conditions rapidly diverge into unrelated collision sequences. Third, we report a transparent performance evaluation showing 22–100 × execution-time overhead relative to static AES-256 encryption for small configurations (3–5 shards) with only 50% convergence reliability within a fixed step budget, and we trace this unreliability to a specific, structural failure mode of the collision-detection process rather than an unexplained anomaly. These results indicate that, in its current unoptimized form, DaChE is a viable additional security layer for high-security, low-frequency access scenarios (e.g., audit logs, defense or medical records) rather than a general-purpose database mechanism, and we identify concrete algorithmic, complexity-reduction, and formal-security directions required before broader deployment. [ABSTRACT FROM AUTHOR]
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