Smart　logistics　(s-Logistics)　has　become　more　and　more　popular　driven　by　the　intelligent　Internet　of　Things　(IoT)　which　deploys　pervasive　smart　devices　in　s-Logistics　systems.　The　explosive　growth　of　s-Logistics　data　collected　by　these　resource-limited　IoT　devices　enables　Fog-based　s-Logistics　that　provides　data　outsourcing　and　sharing　services　via　multiple　clouds　within　small　latency.　Nevertheless,　it　also　gives　rise　to　prominent　security　risks　of　user　privacy　leakage　considering　malicious　users　and　data　integrity　violation　with　untrusted　cloud　servers,　which　are　severe　to　s-Logistics　systems　and　cannot　be　addressed　by　simple　encryption.　To　solve　these　issues,　in　this　article,　we　propose　an　efficient　large　universe　and　traceable　privacy-preserving　data　sharing　(LUTPDS)　for　Fog-based　s-Logistics.　It　simultaneously　achieves　data　access　control,　data　integrity　protection,　key　escrow　and　abuse　resistance,　user　privacy　preserving,　and　scalability.　We　devise　a　large　universe　and　multiauthority　ciphertext-policy　attribute-based　encryption　(CP-ABE)　scheme　in　which　access　policy　hiding　mechanism　is　used　for　user　privacy　preserving,　while　white-box　tracing　and　certificateless　public　data　integrity　auditing　techniques　are　employed　to　resist　key　abuse　and　escrow　problems.　In　addition,　online/offline　encryption　and　verifiable　outsourced　decryption　are　leveraged　for　high　efficiency　and　cloud　encryption　is　utilized　to　extend　to　multiple　clouds.　In　the　end,　we　formally　prove　the　security　of　our　scheme　for　indistinguishability　of　chosen　plaintext　attack　(IND-CPA)　security　and　traceability.　Detailed　performance　evaluation　with　extensive　experiments　shows　that　our　scheme　is　practicable　for　s-Logistics　compared　with　the　existing　schemes.　©　2014　IEEE.