In　recent　years,　immunization　strategies　have　been　developed　for　stopping　epidemics　in　complex-network-like　environments.　So　far,　it　remains　to　be　difficult　for　the　existing　strategies　to　deal　with　distributed　community　networks,　even　though　they　tire　ubiquitous　in　the　real　world.　In　this　paper,　we　propose　a　distributed　immunization　strategy　based　on　the　ideas　of　self-organization　and　positive　feedback　from　Autonomy-Oriented　Computing　(AOC).　The　AOC-based　strategy　can　effectively　be　applied　to　handle　large-scale,　dynamic　networks.　Our　experimental　results　have　shown　that　the　autonomous　entities　deployed　in　this　strategy　can　collectively　find　and　immunize　most　of　the　highly-connected　nodes　in　a　network　within　just　a　few　steps.