In　order　to　achieve　the　protection　of　personal　privacy,　the　author　proposes　research　on　sports　data　privacy　protection　and　information　security　management.　The　author　used　the　two-dimensional　fractional　Fourier　transform　(2D-FRFT)　method　to　encrypt　the　detected　human　body　parts,　which　can　be　decrypted　when　needed　for　viewing.　Compared　to　traditional　Fourier　transform,　Fractional　Fourier　Transform　(FRFT)　can　better　express　the　time-frequency　characteristics　of　signals　and　is　very　sensitive　to　the　order　of　the　transform.　It　is　widely　used　in　image　encryption　systems.　2D-FRFT　increases　the　range　of　keys,　further　enhancing　the　security　of　the　system.　The　author　achieved　encryption　by　extracting　the　detected　human　body　parts　and　then　performing　a　certain　order　of　FRFT　in　the　x　and　y　directions　respectively;　When　decrypting,　use　the　same　order　of　encryption　to　perform　inverse　fractional　Fourier　transform.　Finally,　based　on　research　on　pedestrian　detection　and　encryption　technology,　the　author　designed　a　human-machine　interaction　interface　that　integrates　the　functions　of　detection　and　encryption　interfaces,　making　the　entire　operation　more　intuitive　and　concise.　©　2024　SCPE.