In　order　to　improve　user　authentication　accuracy　based　on　keystroke　dynamics　and　mouse　dynamics　in　hybrid　scenes　and　to　consider　the　user　operation　changes　in　different　scenes　that　aggravate　user　status　changes　and　make　it　difficult　to　simulate　user　behaviors,　we　present　a　user　authentication　method　entitled　SIURUA.　SIURUA　uses　scene-irrelated　features　and　user-related　features　for　user　identification.　First,　features　are　extracted　based　on　keystroke　data　and　mouse　movement　data.　Next,　scene-irrelated　features　that　have　a　low　correlation　with　scenes　are　obtained.　Finally,　scene-irrelated　features　are　fused　with　user-related　features　to　ensure　the　integrity　of　the　features.　Experimental　results　show　that　the　proposed　method　has　the　advantage　of　improving　user　authentication　accuracy　in　hybrid　scenes,　with　an　accuracy　of　84%　obtained　in　the　experiment.