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：随着人为空间物体（ASO）数量的增长，为确保长期太空利用的安全性、安保性与可持续性（S3）带来了迫切需求。目前尚无全球范围内有效的方法能够量化在轨所有ASO的安全性、安保性与可持续性。现有方法如空间可持续性评级（SSR）依赖于自愿提供私有信息以生成可持续性评级，但对此类敏感数据的需求可能成为太空机构采纳该机制的障碍。为有效比较不同ASO，评级机制应适用于所有ASO（包括追溯性应用），从而实现对单个ASO可持续性的整体评估。最后，在地缘政治边界与联盟的影响下，自愿评级体系对太空安全性、安保性与可持续性的提升存在关键性制约。本研究通过构建于行为动力学区块链（BDB）上的去中心化应用（dApp），提出一种实时可探测性、可识别性与可追踪性（L-DIT）评分体系。BDB链作为空间态势感知（SSA）专用链，聚合来自多源经验证与交叉核验的ASO数据。基于BDB共识机制的信息获取方式与数据的无许可访问特性相结合，使得本文提出的DIT评分方法能够应用于所有ASO。在底层BDB链从各类开放（及可用封闭）来源收集、筛选并验证SSA数据的同时，L-DIT dApp通过调用链上数据生成L-DIT评分，该评分可为运营方、制造商或所有者的可持续性实践提供参考。本dApp为所有ASO提供数据支持，使得不同ASO的可持续性评分能够突破地缘政治联盟限制进行横向比较，从而为太空保险提供商等实体创造商业价值，并支持合规性验证与执行。