> For the complete documentation index, see [llms.txt](https://lumiwave-inno.gitbook.io/lumiwave-protocol-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lumiwave-inno.gitbook.io/lumiwave-protocol-whitepaper/3.-security-model.md).

# 3. Security Model

### Purpose of the Security Model

LWP’s security model is not a claim that it can prevent every possible attack. Instead, it aims to provide a structure that manages recurring risks in a predictable way as a multi-IP ecosystem operates over the long term. In IP-based game environments, transaction frequency tends to be high, and simplifying user experience through walletless UX and gas abstraction increases the importance of access and permission control. For this reason, LWP assumes security considerations that span both the network layer and the service layer.

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### Threat Model Assumptions

As the network scales, risks arise not only from technical attacks but also from operational weaknesses. LWP treats the following categories as baseline assumptions:

* Consensus and network-level risks\
  Network partitions, validator operational failures, availability degradation due to misconfiguration, and inconsistencies during upgrades
* Transaction and state-level risks\
  Spam transactions, resource abuse, state bloat, and exploitation of specific mechanics that undermines the economic model
* Account and access-level risks\
  Mis-scoped access control, weaknesses in recovery and device-change flows, and compromise through phishing or social engineering
* External integration risks\
  Data integrity issues in external systems, failures in message delivery/verification, oracle manipulation, and gaps in integration policy
* RWA and settlement data risks\
  Manipulation of offchain settlement data, distribution structures that cannot be verified, and trust erosion caused by misalignment with rules or policies

These assumptions are not meant to exaggerate risk, but to define the baseline criteria needed to absorb risks into an operable structure.

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### Protection Principles

LWP defines its security goals through principles rather than feature lists.

* Least privilege\
  Access and permissions should be limited to what is necessary, preventing uncontrolled expansion of authority.
* Failure-aware design\
  The system should be designed so that failures in certain components (nodes, services, external integrations) do not lead to catastrophic collapse, enabling isolation and limitation when needed.
* Verifiability and traceability\
  Important state changes, policy adjustments, and upgrade history should remain traceable, and the system should maintain observability for operational control.
* Operable security\
  Security must remain maintainable through real operational practice, not only in theory.

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### Operational Controls and Response

Security does not end at deployment—it must be maintained through operations. LWP assumes the following operational controls to sustain security over time:

* Upgrade validation\
  Reducing upgrade risk by separating change scope and applying testing and validation steps before rollout
* Monitoring and anomaly detection\
  Maintaining observability into network health, transaction patterns, and resource usage to detect abnormal signals early
* Standardized incident response\
  Establishing clear response criteria and responsibilities for incidents and attacks, with the ability to apply policy adjustments and restrictions when necessary
* Operational consistency\
  Maintaining operational quality through agreed procedures and records, so recurring operational tasks are not handled ad hoc

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### Security Assumptions for Expansion Areas

RWA and culture/live-event domains (ticketing and offline events) are fundamentally about defining rights and proving settlement. Security in these areas cannot be completed by smart contracts alone; it is determined by the integrity and verifiability of offchain data.

LWP aims to support expansion under these assumptions by favoring verifiable structures—where data integrity, traceability, and policy consistency can be maintained—rather than relying on implicit trust in offchain settlement inputs.