Privacy-preserving collaborative anomaly detection for participatory sensing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8443 LNAI, Issue PART 1, 2014, Pages 581-593

  Erfani, Sarah M ^a   Law, Yee Wei ^b   Karunasekera, Shanika ^a   Leckie, Christopher A ^a   Palaniswami, Marimuthu ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Anomaly detection; Collaborative learning; Horizontally partitioned data; Participatory sensing; Privacy preserving data mining

Indexed keywords

BAYESIAN NETWORKS; DATA MINING; INDEPENDENT COMPONENT ANALYSIS; MATRIX ALGEBRA; POPULATION STATISTICS;

ANOMALY DETECTION; COLLABORATIVE LEARNING; HORIZONTALLY PARTITIONED DATA; PARTICIPATORY SENSING; PRIVACY PRESERVING DATA MINING;

DATA PRIVACY;

EID: 84901265057     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-06608-0_48     Document Type: Conference Paper

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