Potential　malicious　attacks　have　been　a　significant　security　concern　for　network　system　applications.　However,　there　are　few　studies　on　filtering　for　hybrid　network　attacks　in　switching　systems.　This　paper　considers　a　Kalman　filtering　problem　for　the　switched　systems　that　suffer　from　deception　attacks　and　denial-of-service　attacks.　A　new　network　transmission　model　for　switching　systems　is　established.　Then,　based　on　the　minimum　mean　square　error　criterion,　a　Kalman　filter　with　low　conservatism　is　designed　for　the　discrete-time　switched　system.　The　newly　switched　Kalman　gain　matrix　is　deduced　including　the　random　variation　of　the　switching　signal　after　being　attacked　by　the　network.　Finally,　the　effectiveness　of　the　proposed　filter　is　verified　by　the　numerical　simulation.　Note　to　Practitioners—A　switching　system　is　considered　to　be　a　typical　hybrid　system.　As　it　often　works　in　a　network　environment,　the　switching　signal　is　vulnerable　to　the　network　and　thus　to　various　cyber-attacks　(e.g.　spoofing　attacks　and　denial-of-service　attacks).　Few　studies　have　been　conducted　on　the　impact　of　switching　signals　in　network　transmission.　To　address　this　problem,　this　paper　proposes　a　Kalman　filter　design　method　with　low　conservativeness,　which　describes　network　attacks　and　data　loss　by　building　a　Kalman　filter　model　associated　with　the　switching　signal　in　terms　of　satisfying　Bernoulli　random　variables.　For　practitioners,　the　ability　to　recover　data　to　a　certain　extent　when　the　data　transmission　is　affected　by　different　network　attacks　will　save　a　lot　of　costs　and　is　important　for　improving　the　stability　and　performance　of　switching　systems.　Our　future　work　will　aim　to　improve　the　performance　of　different　filtering　algorithms　under　different　cyber-attacks.　IEEE