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Machine Learning Approaches for Anomaly Detection in IoT Systems

Title: Machine Learning Approaches for Anomaly Detection in IoT Systems
Authors: Podder, AmitavaAff25; Ghosh, ShivnathAff25; Roy, PiyalAff25; Paul, SubrataAff25; Sarkar, Saptarshi KumarAff25; Dutta, AnuskaAff25
Contributors: Rocha, Álvaro, Series EditorAff1; Hameurlain, Abdelkader, Editorial Board MemberAff2; Idri, Ali, Editorial Board MemberAff3; Vaseashta, Ashok, Editorial Board MemberAff4; Dubey, Ashwani Kumar, Editorial Board MemberAff5; Montenegro, Carlos, Editorial Board MemberAff6; Laporte, Claude, Editorial Board MemberAff7; Moreira, Fernando, Editorial Board MemberAff8; Peñalvo, Francisco, Editorial Board MemberAff9; Dzemyda, Gintautas, Editorial Board MemberAff10; Mejia-Miranda, Jezreel, Editorial Board MemberAff11; Hall, Jon, Editorial Board MemberAff12; Piattini, Mário, Editorial Board MemberAff13; Holanda, Maristela, Editorial Board MemberAff14; Tang, Mincong, Editorial Board MemberAff15; Ivanovíc, Mirjana, Editorial Board MemberAff16; Muñoz, Mirna, Editorial Board MemberAff17; Kanth, Rajeev, Editorial Board MemberAff18; Anwar, Sajid, Editorial Board MemberAff19; Herawan, Tutut, Editorial Board MemberAff20; Colla, Valentina, Editorial Board MemberAff21; Devedzic, Vladan, Editorial Board MemberAff22; Mishra, Brojo Kishore, editorAff23; Rocha, Alvaro, editorAff24
Source: Future of AI, IoT, and Sustainability. 23:175-190
Database: Springer Nature eBooks