Mote-based online anomaly detection using echo state networks

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

Volumn 5516 LNCS, Issue , 2009, Pages 72-86

  Chang, Marcus ^a   Terzis, Andreas ^b   Bonnet, Philippe ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b Johns Hopkins University   (United States)

Author keywords

Anomaly detection; Real time; Wireless Sensor Networks

Indexed keywords

ANOMALY DETECTION; ANOMALY-DETECTION ALGORITHMS; ECHO STATE NETWORKS; EVENT DETECTION; FALSE NEGATIVES; FALSE POSITIVE; FAULT DETECTION ALGORITHM; FAULT-DETECTION MECHANISMS; MACHINE LEARNING TECHNIQUES; NETWORK CONNECTIVITY; ONLINE ANOMALY DETECTION; PC-BASED IMPLEMENTATION; REAL-TIME; RULE BASED; SCIENTIFIC DATA; TRAINING SETS;

COMPUTER SCIENCE; FAULT DETECTION; FAULT TOLERANT COMPUTER SYSTEMS; LEARNING ALGORITHMS; SENSOR NETWORKS; SIGNAL DETECTION;

WIRELESS SENSOR NETWORKS;

EID: 68749111330     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02085-8_6     Document Type: Conference Paper

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