Since　most　communications　in　vehicular　networks　rely　on　wireless　transmissions,　information　broadcast　by　vehicles　is　highly　susceptible　to　interception　and　eavesdropping　by　third　parties,　making　it　vulnerable　to　various　attacks.　This　can　result　in　communication　messages　being　tampered　with　and　the　leakage　of　vehicle　locations　and　identity　privacy.　From　a　security　perspective,　this　paper　introduces　Yao＇s　garbled　circuit　mechanism,　combining　random　bytes　with　the　solutions　of　linear　equations　as　identity　information　assigned　to　vehicle　nodes.　By　employing　dual　authentication,　the　proposed　approach　addresses　issues　such　as　privacy　protection,　anonymity,　replay　attacks,　and　collusion　attacks　in　vehicular　networks,　thereby　enhancing　security.　Moreover,　considering　the　post-authentication　access　control　scenario,　this　paper　proposes　a　novel　LSSS　matrix　transformation　algorithm　for　ciphertext　hidden　access　control　strategy.　It　realizes　a　partially　hidden　policy,　which　makes　matrix　generation　more　efficient　by　supporting　both　AND　and　OR　gates,　thus　improving　the　access　control　efficiency　while　ensuring　security.　Performance　analysis　indicates　that　in　terms　of　identity　authentication,　the　scheme　reduces　computational　costs　by　an　average　of　96.25%,　and　in　access　control,　the　scheme　reduces　key　generation　time　by　an　average　of　80%.　Copyright　©　2024　held　by　the　owner/author(s).　Publication　rights　licensed　to　ACM.