TCF-Trans: temporal context fusion transformer for anomaly detection in time series by Peng, Xinggan, Li, Hanhui, Lin, Yuxuan, Chen, Yongming, Fan, Peng, Lin, Zhiping

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ADEPOS : anomaly detection based power saving for predictive maintenance using edge computing by Bose, Sumon Kumar, Kar, Bapi, Roy, Mohendra, Gopalakrishnan, Pradeep Kumar, Basu, Arindam

Subjects: “…Anomaly Detection…”
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ADIC: anomaly detection integrated circuit in 65-nm CMOS utilizing approximate computing by Kar, Bapi, Gopalakrishnan, Pradeep Kumar, Bose, Sumon Kumar, Roy, Mohendra, Basu, Arindam

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ADEPOS : a novel approximate computing framework for anomaly detection systems and its implementation in 65-nm CMOS by Bose, Sumon Kumar, Kar, Bapi, Roy, Mohendra, Gopalakrishnan, Pradeep Kumar, Zhang, Lei, Patil, Aakash, Basu, Arindam

“…In this paper, we present an approximate computing method to reduce the computation energy of a specific type of IoT system used for anomaly detection (e.g. in predictive maintenance, epileptic seizure detection, etc). …”
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A stacked autoencoder neural network based automated feature extraction method for anomaly detection in on-line condition monitoring by Roy, Mohendra, Bose, Sumon Kumar, Kar, Bapi, Gopalakrishnan, Pradeep Kumar, Basu, Arindam

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A FeedForward–Convolutional Neural Network to detect low-rate DoS in IoT by Ilango, Harun Surej, Ma, Maode, Su, Rong

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A misbehavior detection system to detect novel position falsification attacks in the Internet of Vehicles by Ilango, Harun Surej, Ma, Maode, Su, Rong

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Novel position falsification attacks detection in the Internet of Vehicles using machine learning by Ilango, Harun Surej, Ma, Maode, Su, Rong

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Live demonstration : autoencoder-based predictive maintenance for IoT by Gopalakrishnan, Pradeep Kumar, Kar, Bapi, Bose, Sumon Kumar, Roy, Mohendra, Basu, Arindam

“…Faults can be triggered artificially in real-time to demonstrate anomaly detection.…”
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Exploiting AIS data for intelligent maritime navigation : a comprehensive survey from data to methodology by Tu, Enmei, Zhang, Guanghao, Rachmawati, Lily, Rajabally, Eshan, Huang, Guang-Bin

“…Because of the close relationship between data and methodology in marine data mining and the importance of both of them in marine intelligence research, this paper surveys AIS data sources and relevant aspects of navigation in which such data are or could be exploited for safety of seafaring, namely traffic anomaly detection, route estimation, collision prediction, and path planning.…”
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Enabling efficient and privacy-preserving health query over outsourced cloud by Wang, Guoming, Lu, Rongxing, Guan, Yong Liang

“…To reduce the query latency, we fist design a sensor anomaly detection technique to find the high risk disease according to the user’s sensor information. …”
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Scenario-based insider threat detection from cyber activities by Chattopadhyay, Pratik, Wang, Lipo, Tan, Yap-Peng

“…The state-of-the-art research on insider threat detection mostly focuses on developing unsupervised behavioral anomaly detection techniques with the objective of finding out anomalousness or abnormal changes in user behavior over time. …”
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