In　a　hybrid　cloud　environment,　enterprise　business　applications　and　data　are　often　transferred　across　different　cloud　services.　For　complex　and　diversified　cloud　service　environments,　most　hybrid　cloud　applications　adopt　access　control　policies　made　around　only　access　subjects　and　adjust　the　policies　manually,　which　cannot　meet　the　fine-grained　dynamic　access　control　requirements　at　different　stages　of　the　data　life　cycle.　This　study　proposes　AHCAC,　an　adaptive　access　control　method　oriented　to　data　life　cycle　in　a　hybrid　cloud　environment.　Firstly,　the　the　policy　description　idea　based　on　key　attributes　are　employed　to　unify　the　heterogeneous　policies　of　the　full　life　cycle　of　data　under　the　hybrid　cloud.　Especially,　the　“stage”　attribute　is　introduced　to　explicitly　identify　the　life-cycle　state　of　data,　which　is　the　basis　for　achieving　fine-grained　access　control　oriented　to　data　life　cycle.　Secondly,　in　view　of　the　similarity　and　consistency　of　access　control　policy　with　the　same　life-cycle　stage,　the　policy　distance　is　defined,　and　a　hierarchical　clustering　algorithm　based　on　the　policy　distance　is　proposed　to　construct　the　corresponding　data　access　control　policy　in　each　life-cycle　stage.　Finally,　when　the　life-cycle　stage　of　data　is　changed,　the　adaptation　and　loading　of　policies　of　corresponding　data　stages　in　the　policy　evaluation　are　triggered　through　key　attribute　matching,　which　realizes　the　adaptive　access　control　oriented　to　the　data　life　cycle.　This　study　also　conducts　experiments　to　verify　the　effectiveness　and　feasibility　of　the　proposed　method　on　OpenStack　and　open-source　policy　evaluation　engine　Balana.　©　2024　Chinese　Academy　of　Sciences.　All　rights　reserved.