Purpose and scope
The Security and Threat Model defines the adversarial assumptions under which Trust State Protocol operates and clarifies which classes of threats the protocol is designed to mitigate, tolerate, or explicitly exclude. Its purpose is not to claim absolute security, but to delineate the security properties that arise from the protocol’s structure and to identify the limits of those properties.
This section addresses security at the protocol level. It does not prescribe implementation level controls, operational safeguards, or governance responses. Those concerns remain the responsibility of systems that adopt TSP.
Adversarial assumptions
Trust State Protocol assumes an environment in which participants may behave strategically and where some entities may attempt to manipulate trust signals for advantage. The protocol does not assume benevolent behavior, perfect information, or centralized enforcement.
At the same time, TSP does not assume an omnipotent adversary. It does not attempt to defend against actors with unlimited resources, global control over verification mechanisms, or the ability to rewrite event history. The protocol is designed for realistic digital environments where outcomes can be verified under declared rules but where incentives to game trust systems exist.
Threat surface overview
The primary threat surface addressed by TSP arises from manipulation of trust signals rather than from compromise of infrastructure. Common failure modes in trust systems include reputation inflation, trust laundering across contexts, sybil amplification, stale trust persistence, and the conversion of subjective claims into irreversible judgments.
TSP addresses these risks structurally by constraining how trust is earned, how it decays, and how it may be interpreted, rather than by attempting to detect malicious intent.
Trust inflation and rapid reputation farming
One class of threat involves attempts to rapidly accumulate trust through superficial or low cost interactions. In many systems, repeated minor actions can inflate reputation without demonstrating meaningful reliability.
Trust State Protocol mitigates this risk through bounded state transitions, weighted updates, and mandatory decay. Because trust evolves incrementally and remains bounded, repeated low impact events cannot produce unbounded trust. Decay further ensures that accumulated trust erodes without continued meaningful interaction, preventing permanent inflation.
Trust laundering across contexts
Trust laundering occurs when reliability demonstrated in one domain is improperly reused to justify confidence in another. This is a common failure mode in systems that rely on global reputation scores or unified account standing.
TSP explicitly prevents trust laundering by enforcing strict contextual isolation. Trust states, events, verification contexts, and decay parameters are all scoped to a single context. There is no protocol level mechanism for propagating trust across contexts. Any cross contextual interpretation must occur externally and does not alter the internal trust dynamics defined by the protocol.
Sybil amplification and identity manipulation
Sybil attacks involve the creation of multiple identities to amplify trust signals or evade accountability. Trust State Protocol does not directly prevent the creation of multiple entities, as it is not an identity protocol.
Instead, TSP limits the effectiveness of sybil amplification by tying trust evolution to verified outcomes rather than to identity persistence. Creating additional entities does not confer trust unless those entities produce verified events within a context. Because trust is bounded, decays over time, and does not propagate across contexts, the economic or operational cost of sustaining multiple trusted entities increases naturally.
Identity resolution, where required, remains an external concern.
Replay and delayed event manipulation
Another threat involves replaying events or delaying verification to manipulate trust trajectories. Trust State Protocol addresses this by anchoring trust updates to verification time rather than interaction initiation time. Events influence trust only when verified, and decay is applied up to that moment.
This temporal anchoring prevents retroactive trust manipulation and ensures that delayed reporting does not distort trust state evolution.
Collusion and mutual confirmation
Collusion between entities to fabricate verified outcomes is a known limitation of any trust system that relies on verification. Trust State Protocol does not claim to eliminate collusion.
Instead, it constrains the damage collusion can cause. Because trust updates are bounded, subject to decay, and context limited, collusive behavior cannot produce permanent or transferable trust. Implementing systems may apply additional controls at the verification layer, but such controls remain external to the protocol.
Absence of surveillance and behavioral profiling
Many trust systems attempt to mitigate threats through extensive monitoring, profiling, or behavioral analysis. TSP explicitly avoids this approach. The protocol does not require continuous observation, pattern analysis, or inference of intent.
This design reduces both the attack surface associated with data collection and the risk of adversarial adaptation to opaque monitoring systems. Security emerges from structural constraints rather than from hidden detection mechanisms.
Determinism and auditability as security properties
Determinism is a security property of Trust State Protocol. Because trust evolution is fully determined by declared parameters, verified events, and time, trust trajectories can be audited and reproduced. This limits the ability of privileged actors to manipulate trust state covertly and allows inconsistencies to be detected.
Auditability does not require disclosure of identity or event evidence. It requires only that the mechanics of trust evolution be observable and verifiable.
Non goals and excluded threat classes
Trust State Protocol does not attempt to address infrastructure compromise, denial of service, cryptographic failures, or legal enforcement evasion. It also does not guarantee correctness of verification mechanisms or prevent malicious verification authorities.
These threats fall outside the protocol’s scope and must be addressed by implementing systems and their operational environments.
