This　paper　proposes　an　enhanced　cyber　secure　energy　and　data　transaction　framework　for　the　optimal　operation　and　management　of　the　smart　city.　Recently,　the　concept　of　smart　city　within　the　power　systems　has　taken　the　center　stage.　Although　the　power　system　full　monitoring　and　accessibility　is　guaranteed　through　the　smart　city　concept,　the　risk　of　cyber-attacks　to　the　system　has　been　promoted,　severely.　With　this　in　mind,　in　this　paper　an　effective　smart　city　model　including　the　smart　grid,　smart　transportation　systems　(STSs)　that　consist　of　the　metro　and　electric　vehicles　(EVs),　microgrid　and　smart　energy　hub　(EH)　is　presented.　In　the　proposed　model,　an　improved　directed　acyclic　graph　(DAG)　approach　is　represented　in　order　to　enhance　the　security　of　data　transaction　within　the　smart　city.　In　this　approach,　a　security　layer　is　added　to　the　blockchain　which　will　prevent　the　cyber　hackers　access　to　the　system　information.　An　effective　energy　management　schedule　is　also　developed　in　this　paper.　To　do　so,　an　intelligent　priority　selection　(IPS)　based　on　advanced　math　operators　is　provided　to　allocate　the　metro-owned　charging　stations　(MCSs),　optimally.　Furthermore,　the　unscented　transform　(UT)　is　utilized　to　handle　the　uncertainty　of　the　system　parameters.　The　results　showed　that　the　proposed　IPS　could　improve　the　method　CPU　time　over　75%　compared　to　other　well-known　meta-heuristic　methods　in　the　area.　Moreover,　the　results　showed　that　the　proposed　framework　has　remarkably　reduced　the　run　time　and　increased　the　accuracy　of　the　solution　compared　to　the　other　meta-heuristic　algorithms.