Threats　of　cyberattacks　have　penetrated　from　disclosing　critical　user　information　to　destroying/manipulating　industrial　control　systems.　Study　on　data　security　during　network　transmission　has　raised　increasing　attention　in　the　systems　and　control　community,　which　is　found　very　necessary　and　timely　in　the　context　of　Industry　4.0.　In　most　existing　approaches,　the　protection　of　the　transmitted　data　from　eavesdropping　attacks　and　the　detection　of　malicious　integrity　attacks　are　usually　carried　out　separately.　In　this　study,　an　integrated　data-driven　framework　applicable　at　the　control　level　is　proposed　to　deal　with　secure　transmission　and　attack　detection　simultaneously.　In　the　framework,　a　secure　correlation-based　encryption/decryption　approach　and　a　trustworthiness　judgement　approach　are　proposed.　Comprehensive　discussions　are　made　regarding　the　analysis　of　the　sensitivity　to　attacks,　the　introduced　time　delay,　and　the　design　degree-of-free.　Executable　algorithms　are　presented,　corresponding　to　which　hardware　is　modularized　and　can　work　standalone　independent　from　the　configuration　of　the　monitoring　and　control　systems　or　any　third-party　authentication　agencies.　Evaluation　results　on　a　simulated　two-area　frequency-load　control　power　grid　system　are　provided　to　show　the　effectiveness　and　performance　of　the　proposed　approaches.