As the number of Anthropogenic Space Objects (ASOs) grows, there is an urgent need to ensure space safety, security, and sustainability (S3) for long-term space use. Currently, no globally effective method can quantify the safety, security, and Sustainability of all ASOs in orbit. Existing methods such as the Space Sustainability Rating (SSR) rely on volunteering private information to provide sustainability ratings. However, the need for such sensitive data might prove to be a barrier to adoption for space entities. For effective comparison of ASOs, the rating mechanism should apply to all ASOs, even retroactively, so that the sustainability of a single ASO can be assessed holistically. Lastly, geopolitical boundaries and alignments play a crucial and limiting role in a volunteered rating system, limiting the space safety, security, and sustainability. This work presents a Live Detectability, Identifiability, and Trackability (L-DIT) score through a distributed app (dApp) built on top of the Behavioral Dynamics blockchain (BDB). The BDB chain is a space situational awareness (SSA) chain that provides verified and cross-checked ASO data from multiple sources. This unique combination of consensus-based information from BDB and permissionless access to data allows the DIT scoring method presented here to be applied to all ASOs. While the underlying BDB chain collects, filters, and validates SSA data from various open (and closed if available) sources, the L-DIT dApp consumes the data from the chain to provide L-DIT score that can contribute towards an operator's, manufacturer's, or owner's sustainability practices. Our dApp provides data for all ASOs, allowing their sustainability score to be compared against other ASOs, regardless of geopolitical alignments, providing business value to entities such as space insurance providers and enabling compliance validation and enforcement.

翻译：随着人造空间物体（ASO）数量不断增长，对长期空间利用的安全、安保与可持续性（S3）保障需求日益迫切。当前尚不存在可量化所有在轨ASO安全、安保与可持续性的全局性有效方法。现有方法（如空间可持续性评级SSR）依赖自愿提供的私有信息进行可持续性评级，但此类敏感数据的必要性可能成为空间实体采用的障碍。为有效比较ASO，评级机制应适用于所有ASO（甚至可追溯应用），从而对单个ASO的可持续性进行整体评估。此外，地缘政治边界与联盟关系在自愿评级系统中具有决定性限制作用，制约着空间安全、安保与可持续性。本研究通过基于行为动力学区块链（BDB）构建的分布式应用（dApp），提出实时可探测性、可识别性与可追踪性（L-DIT）评分体系。BDB链是一种空间态势感知（SSA）链，能提供经多源验证与交叉核验的ASO数据。基于共识的BDB信息与无需许可的数据访问权限这一独特组合，使得本文提出的DIT评分方法可适用于所有ASO。底层BDB链从各类开放（及可用封闭）源收集、过滤并验证SSA数据，而L-DIT dApp则通过消费链上数据生成L-DIT评分，该评分可助力运营商、制造商或所有者的可持续性实践。本dApp提供所有ASO的数据，支持其可持续性评分与其他ASO的跨地缘政治联盟比较，为空间保险提供商等实体创造商业价值，并实现合规验证与执行。