The　Internet　of　Vehicles　(IoV)　is　a　wireless　network　composed　of　intelligent　driving　vehicles　and　roadside　units　that　collaborate　to　improve　transportation　services.　On　the　one　hand,　this　revolutionary　mode　of　transportation　optimizes　traffic　efficiency,　reducing　congestion　and　accidents.　On　the　other　hand,　it　raises　security　and　privacy　concerns.　Therefore,　the　design　of　a　method　adopting　anonymous　techniques　and　secure　data　processing　procedures　becomes　particularly　urgent.　To　address　this　issue,　this　paper　combines　attribute-based　credentials　with　multi-receiver　encryption　and　proposes　a　Multi-Receiver　Conditional　Anonymous　Signcryption　based　on　Multi-Dimensional　Decision　Attributes　(MRCAS-MDDA)　scheme　for　secure　challenges　for　trustworthy　data　transmission　in　IoV.　Specifically,　it　achieves　conditional　anonymous　authentication　with　selective　attribute　disclosure,　allowing　data　owners　to　self-disclose　certain　attributes,　anonymously　authenticate　their　attribute　qualifications,　and　achieve　traceability　of　malicious　behavior.　Simultaneously,　through　data　signature　encryption　and　non-signature　encryption,　it　enables　secure　one-to-many　data　sharing,　preventing　the　leakage　of　sensitive　IoV　data　and　alleviating　the　waste　of　limited　computational　resources.　In　addition,　rigorous　security　analysis　indicates　that　the　MRCAS-MDDA　scheme　achieves　the　expected　properties　of　confidentiality,　anonymity,　fine-grained　identity　verification,　traceability,　and　non-repudiation.　Experimental　results　further　demonstrate　the　computational　effectiveness　of　MRCAS-MDDA.