In　the　industrial　ecosystem,　both　the　manufacturing　and　edge　clouds　collaborate　via　virtualisation　technology,　playing　a　crucial　role　in　the　efficient　aggregation　and　processing　of　vast　data　from　endpoints,　offering　computational　and　analytical　support　for　enhanced　decision-making　in　all　industrial　operations.　Consequently,　ensuring　the　reliability　of　virtualised　manufacturing　environments　is　paramount.　Remote　attestation　offers　a　viable　solution,　however,　current　schemes　are　plagued　by　inefficiencies　and　privacy　leakage　issues.　To　address　these　concerns,　we　propose　an　efficient　remote　attestation　approach.　The　approach　actively　conceals　sensitive　industrial　information　in　measurement　logs　by　using　a　hash　algorithm,　thereby　preventing　privacy　breaches.　Furthermore,　it　streamlines　log　entries　with　a　log　compression　algorithm,　enhancing　remote　verification　efficiency　in　the　industrial　information　architecture.　Extensive　experiments　were　conducted　in　an　authentic　cloud　environment　by　applying　this　approach　across　both　mesh　and　hierarchical　remote　verification　structures,　reducing　time　overhead　by　approximately　81.32%.　Additionally,　it　marginally　impacts　server　performance　with　only　a　1.49%　reduction.　The　results　affirm　the　proposed　approach＇s　exceptional　efficacy　in　decreasing　verification　durations　and　mitigating　remote　verification　attacks,　demonstrating　its　promising　utility　and　feasibility　in　the　intelligent　industrial　platform.　©　2024　Informa　UK　Limited,　trading　as　Taylor　&　Francis　Group.