Files
papers/zoo-tokenomics/sections/10-security-and-game-theory.tex

123 lines
4.4 KiB
TeX
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
\section{Security and Game Theory}
\subsection{Validator Incentive Alignment}
Zoo's staking mechanism aligns validator incentives with network health:
\textbf{Reward Structure:}
\begin{itemize}
\item \textbf{Base Rewards}: 60\% of transaction fees (proportional to stake)
\item \textbf{Performance Bonus}: +10\% for 99.9\%+ uptime
\item \textbf{Correctness Bonus}: +5\% for zero invalid state transitions
\end{itemize}
\textbf{Slashing Conditions:}
\begin{itemize}
\item \textbf{Double-signing}: 50\% stake slashed + ejection
\item \textbf{Prolonged downtime} (>24h): 5\% stake slashed
\item \textbf{Invalid state transition}: 100\% stake slashed + ejection
\item \textbf{Censorship} (ignoring valid transactions): 10\% stake slashed
\end{itemize}
\textbf{Game Theory Analysis:}
Expected value of honest vs dishonest behavior:
\begin{align}
EV_{\text{honest}} &= R \times (1 + 0.10 + 0.05) = 1.15R \\
EV_{\text{dishonest}} &= R \times P_{\text{undetected}} - S \times P_{\text{detected}}
\end{align}
where:
\begin{itemize}
\item $R$: Base reward
\item $S$: Slashing penalty (0.5-1.0× stake)
\item $P_{\text{detected}}$: Probability of detection (>99\% for double-signing)
\end{itemize}
For double-signing attack:
\begin{align}
EV_{\text{attack}} &= R \times 0.01 - 0.5 \times \text{Stake} \times 0.99 \\
&\approx -0.495 \times \text{Stake}
\end{align}
Since $EV_{\text{attack}} < 0$ for any reasonable stake amount, rational validators choose honesty.
\subsection{Sybil Resistance}
Zoo implements multi-layered Sybil resistance:
\begin{enumerate}
\item \textbf{Stake Requirements}: Minimum 100M $\KEEPER$ to validate (0.01\% of supply)
\item \textbf{Identity Verification}: Validators must KYC (comply with AML/CFT)
\item \textbf{Reputation System}: Track record visible (uptime, accuracy, community votes)
\item \textbf{DAO Ejection}: Community can vote to remove malicious validators (66\% threshold)
\end{enumerate}
\subsection{Experience Marketplace Attacks}
Potential attack vectors and mitigations:
\subsubsection{Attack: Low-Quality Experience Spam}
\textbf{Vector:} Attacker submits hundreds of useless experiences to pollute marketplace
\textbf{Mitigation:}
\begin{itemize}
\item Minimum effectiveness threshold: +3\% vs baseline
\item Blind testing: DAO validators assess without seeing author identity
\item Deposit requirement: 1M $\KEEPER$ per submission (returned if approved)
\item Reputation penalty: Rejected submissions decrease author's future success rate
\end{itemize}
\subsubsection{Attack: Experience Plagiarism}
\textbf{Vector:} Attacker copies existing experience, submits as their own
\textbf{Mitigation:}
\begin{itemize}
\item Similarity detection: Compare embedding vectors against existing experiences
\item Timestamp priority: First submission wins in disputes
\item Attribution enforcement: Derivative works must credit originals (smart contract enforced)
\item DAO adjudication: Plagiarism claims reviewed by Experience Curation Board
\end{itemize}
\subsubsection{Attack: Wash Trading Experiences}
\textbf{Vector:} Attacker creates experience, uses Sybil accounts to inflate usage statistics
\textbf{Mitigation:}
\begin{itemize}
\item Payment requirement: All inferences cost IC or $\KEEPER$ (Sybil becomes expensive)
\item Usage pattern analysis: Flag accounts with unusual patterns (same experience repeatedly)
\item Effectiveness verification: Independent DAO testing confirms claimed improvements
\end{itemize}
\subsection{DAO Governance Attacks}
\subsubsection{Attack: Whale Voting Domination}
\textbf{Vector:} Large holder acquires >50\% of supply, controls all votes
\textbf{Mitigation:}
\begin{itemize}
\item Quadratic voting: 51\% of supply = only 71\% of votes (not enough for 75\% constitution amendments)
\item Delegation: Small holders can pool votes via delegation
\item Executive Director veto: Can override votes that violate 501(c)(3) mission
\item Market liquidity: Acquiring 51\% requires buying from existing holders (price impact prohibitive)
\end{itemize}
\textbf{Cost Analysis:}
To acquire 51\% (1.02T $\KEEPER$):
\begin{itemize}
\item At \$0.02/token: \$20.4B initial cost
\item Price impact: 51\% acquisition likely drives price to \$0.10+ (10× slippage)
\item Total cost: \$50-100B (exceeds market cap of most crypto projects)
\item Voting power: $\sqrt{1.02T} / (\sqrt{1.02T} + \sqrt{0.98T}) \approx 51.02\%$ (marginally above threshold)
\end{itemize}
This makes governance takeover \textbf{economically infeasible}.