Continuous-Flow　Microfluidic　Biochips　(CFMBs)　have　been　widely　applied　in　various　biochemical　fields　due　to　their　capabilities　of　precise　control,　high　integration,　and　automation.　However,　insecure　supply　chains　enable　malicious　actors　to　tamper　with　biochips,　compromising　their　integrity　and　leading　to　failed　bioassays.　Additionally,　the　limited　availability　of　detection　resources　leads　to　increased　costs　and　reduced　efficiency　in　conducting　bioassays.　To　ensure　accurate　and　efficient　execution　of　bioassays,　this　paper　defines　fluid　scheduling　tampering　and　activation　sequences　tampering　as　two　types　of　security　threats　and　proposes　an　Anomaly　Detection　method　based　on　Discrete　Particle　Swarm　Optimization　(AD-DPSO)　for　CFMBs.　The　AD-DPSO　method　presents　a　weight　calculation　strategy　based　on　fluid　scheduling　and　a　checkpoint　selection　strategy　based　on　DPSO　to　effectively　deploy　checkpoints　on　the　biochips.　The　weight　calculation　strategy　ensures　effective　and　secure　checkpoint　deployment　strategies　by　favoring　units　with　high　usage　frequency　and　low　detection　cost.　The　checkpoint　selection　strategy　comprehensively　considers　chip　resources　and　security　requirements,　thus　maximizing　the　probability　of　anomaly　detection　while　minimizing　associated　costs.　Compared　to　the　existing　work,　the　proposed　AD-DPSO　achieves　higher　Return　on　Investment　and　lower　detection　costs　with　high　detection　probability.