
Lux(λ) |光尘|空灵|GEB|Jul 09, 2025 10:32
From Computational Equivalence to Self Determination Mechanism: The Practice of Formal Language Security in Bitcoin
🔍 Introduction: The Security Combination Challenge of Complex Systems
In modern computer systems, a core security challenge comes from the complexity of system composition.
When multiple components (hardware, protocol, parser) are combined into a whole, attackers often exploit the interface differences between them for attacks.
Many serious vulnerabilities do not originate from individual components themselves, but from unexpected interactions between components.
——The Safe Application of Formal Language Theory, MIT CSAIL
This raises a key question:
How to design a mechanism that allows the system to run as expected under all inputs?
The answer comes from a less intuitive but very powerful theoretical foundation:
👉 Formal language theory.
⚙️ Core principle: Calculate equivalence
When a system is composed of multiple components, the most fundamental security prerequisite is:
All components must have consistent parsing results for the input.
That is to say, different components must follow completely consistent calculation rules (calculation equivalence).
Once there are subtle differences in the parsing logic between components, it is possible for attackers to exploit them.
For example:
🔐 In the X.509 certificate system, the differences in parsers between multiple implementations have been used for certificate forgery attacks.
However, it is extremely difficult in theory to prove that two complex parsers are completely equivalent - even undecidable for context free languages. This means that we cannot use a universal algorithm to verify whether two protocol parsers are consistent.
✅ Response strategy: Principle of minimum computing power
Therefore, a key design principle has been proposed:
The syntax of the protocol should be as simple as possible,
So that we can verify the consistency between their parsers and reduce the potential attack surface.
🧠 Bitcoin Architecture: Theoretical Engineering Implementation
The system structure of Bitcoin is a deep practice of this theory.
We can abstract it into two tightly coordinated system layers:
User Business Layer (TX)
User generated transactions and scripts define asset circulation rules.
System security layer (Block)
Miners package and validate transactions, forming a time chain and security structure.
The combination of these two layers relies on a key principle:
The 'computational equivalence' between TX and Block must be established.
They all use the same rules to execute scripts, process inputs, and maintain consistency.
Among them, Coinbase trading plays a bridging role - connecting the TX and Block layers, serving as a "function interface" between them, maintaining the parsing consistency of the entire system.
🧩 Deep structure: three-layer system and self-determination mechanism
From a deeper system perspective, the structure of Bitcoin is actually divided into three layers:
① Trading layer TX
User constructed transaction logic
Belonging to the category of Turing computability
② Block Layer
Verified and packaged transactions by miners
Regarded as a deterministic automaton (DFA or DPDA)
It makes a 'judgment' on the trading layer
But I cannot determine my ultimate legitimacy on my own
③ Longest Chain Layer (Consensus Layer)
Make final judgments on multiple candidate blockchain states
It uses a probabilistic+super poor recursive approach (similar to Turing's oracle)
Analogous to Non Deterministic Downward Pushing Automata (NPDA)
This leads to a core issue:
Where does the final decision-making mechanism of the system come from?
The answer given by Bitcoin is——
Not relying on any external arbitrator!
🚀 Self Determination Mechanism: Decentralized Ultra Poor Judgment
Bitcoin has introduced a unique design logic:
Using the longest chain and probability convergence method
Complete the final judgment without a central coordinator.
This corresponds to the structure proposed by Turing in his 1938 paper:
The model of "super poor recursion+oracle Turing machine"
Used to solve the problem of conventional systems being unable to determine their own true values.
Bitcoin uses a distributed consensus algorithm to construct:
A decentralized system for self perception, self evolution, and self judgment.
There is no god with an 'external perspective', and the system achieves self-determination internally.
🧩 Summary: High integration of theory and practice
The Safe Application of Formal Language Theory states that:
The design of security systems should focus on computational equivalence and minimum computing power.
The structure of Bitcoin perfectly embodies this idea:
Equivalent calculation from TX to Block
Recursive determination of the longest chain and consensus convergence
It's not as simple as a 'cryptocurrency',
But rather a real engineering implementation of a distributed self judgment logic system.
📌 reference:
MIT CSAIL《The Science of Deep Specification》
Nakamoto, Bitcoin Whitepaper, 2008
Alan Turing, “Systems of Logic Based on Ordinals”, 1938
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