With　the　continuous　development　of　electrical　sensors　and　sensor　networks,　the　security　of　the　electrical　perception　data　remains　a　significant　concern.　This　paper　establishes　a　security　hierarchical　architecture　for　electrical　sensor　networks　using　the　analytic　hierarchy　process　(AHP).　Subsequently,　a　security　risk　assessment　method　for　electrical　sensor　networks　is　developed　as　a　multi-classification　model　using　the　entropy　optimization　algorithm　(EOA)　and　support　vector　machine　(SVM).　Finally,　the　efficacy　of　the　proposed　method　is　confirmed　through　simulation.　©　2024　IEEE.