TY - GEN
T1 - Anomaly detection algorithms for smart metering using swarm intelligence
AU - Paikrao, Pradeep Subhash
AU - Bose, Ranjan
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Advancement in the information and communication technology has introduced Advanced Metering Infrastructure (AMI) in the electricity metering system, which has replaced old mechanical meters with smart electric meters. This modernization also introduced a lot of scope for the different anomalies and attacks on smart meters. Hence to tackle these challenges, we have proposed three anomaly detection algorithms (VBA, HBA, KBA) which are truly based on the principles of Swarm Intelligence (SI). The swarm intelligence is the emerging subbranch of artificial intelligence which studies the collective intelligence of groups of simple agents. The theory is corroborated by its performance in terms of probability of detection and probability of false alarm. The proposed algorithms entrust the probability of detection and probability of false alarm close to 1.00 and 0.17 respectively.
AB - Advancement in the information and communication technology has introduced Advanced Metering Infrastructure (AMI) in the electricity metering system, which has replaced old mechanical meters with smart electric meters. This modernization also introduced a lot of scope for the different anomalies and attacks on smart meters. Hence to tackle these challenges, we have proposed three anomaly detection algorithms (VBA, HBA, KBA) which are truly based on the principles of Swarm Intelligence (SI). The swarm intelligence is the emerging subbranch of artificial intelligence which studies the collective intelligence of groups of simple agents. The theory is corroborated by its performance in terms of probability of detection and probability of false alarm. The proposed algorithms entrust the probability of detection and probability of false alarm close to 1.00 and 0.17 respectively.
KW - Advanced Metering Infrastructure (AMI)
KW - Anomaly detection
KW - Smart meter
KW - Swarm Intelligence (SI)
UR - http://www.scopus.com/inward/record.url?scp=85061495709&partnerID=8YFLogxK
U2 - 10.1145/3243318.3243319
DO - 10.1145/3243318.3243319
M3 - Conference contribution
AN - SCOPUS:85061495709
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 3
EP - 8
BT - FICN 2018 - Proceedings of the 1st International Workshop on Future Industrial Communication Networks, Co-located with MobiCom 2018
PB - Association for Computing Machinery
T2 - 1st ACM International Workshop on Future Industrial Communication Networks, FICN 2018, part of the ACM MobiCom 2018 Conference
Y2 - 2 November 2018
ER -