Trusted　computing　is　an　effective　means　of　system　security　protection,　encompassing　various　security　solutions.　However,　these　solutions　exhibit　individual　shortcomings,　such　as　the　co-location　of　protective　code　and　system,　a　singular　metric　determination　standard,　and　discontinuity　in　trusted　measurements.　Consequently,　they　fail　to　meet　security　requirements.　Hence,　we　propose　a　Behavior-Based　Dynamic　Trusted　Measurement　scheme　(BBDTM).　Firstly,　the　scheme　designs　a　dynamic　measurement　framework　based　on　a　dual-body　architecture,　segregating　protective　code　from　the　operating　system　code　to　overcome　the　reliance　of　protective　code　on　the　host　system.　Subsequently,　we　assign　corresponding　weights　to　behaviors　based　on　their　impact　on　the　system　using　information　entropy　theory,　rendering　the　metric　determination　standards　more　rational.　Next,　a　time　window　mechanism　is　designed　to　achieve　a　comprehensive　trusted　measurement　of　system　behavior,　addressing　issues　of　trust　decay　and　discontinuity　in　metric　behavior.　Finally,　relevant　experiments　demonstrate　that　our　scheme　can　achieve　superior　protective　results.　©　COPYRIGHT　SPIE.　Downloading　of　the　abstract　is　permitted　for　personal　use　only.