Alexander Suvorov
Research & Innovation
Research & Innovation
Independent Researcher focused on fundamental computer science, information theory, and computational complexity. Author of groundbreaking paradigms including Pointer‑Based Security, Local Data Regeneration, and Position‑Candidate‑Hypothesis (PCH). My work challenges conventional approaches across multiple domains of computer science, proposing architectural shifts that eliminate vulnerable data existence, redefine communication as synchronous state discovery, and transform NP-complete problem-solving through structural-statistical analysis.
Four paradigms with DOI publications + 1 tech report with experimental validation.
I am also Software Architect with 10+ years of experience building high-performance web applications, enterprise systems, and scalable platforms.
Architectural shift from data protection to data non‑existence. Security through data non‑existence — eliminate vulnerable data instead of protecting it.
This paper introduces the Pointer-Based Security Paradigm, which transforms digital security from protecting data during transmission and storage to architecting systems where sensitive data never exists as a vulnerable entity. The paradigm demonstrates practical implementations including zero-transmission messaging and storage-free authentication.
Ontological shift from data transmission to synchronous state discovery. Communication as pointer synchronization — regenerate data locally rather than transmit it.
This work introduces the Local Data Regeneration Paradigm, which challenges the fundamental Shannonian model of information transmission. We propose an ontological shift where data is understood not as objects to be transferred, but as states reached by deterministic systems through synchronous application of shared algorithms to coordinated pointers.
Experimental validation of Security & Regeneration paradigms. 2.8M elements/second, O(1) state access.
This technical report presents experimental validation of theoretical paradigms from author's previous works. A research prototype demonstrates architectural principles enabling infinite world generation, mass NPC simulation, and state verification without data transmission.
Structural-statistical approach to NP-complete problems. n hypotheses, n positions, n candidates.
This research paper introduces the Position-Candidate-Hypothesis (PCH) paradigm as a novel theoretical approach to NP-complete problems. This work proposes a fundamental shift from traditional combinatorial search to structuralstatistical analysis.
Data Transmission → Synchronous Discovery
Pointer‑Based SecuritySecret Storage → Deterministic Regeneration
Pointer‑Based SecuritySearch → Structure
PCH ParadigmData as Transferable Object → Data as System State
Local Data Regeneration