Geometric anomaly detection in data by Stolz, BJ, Tanner, J, Harrington, HA, Nanda, V

Anomaly detection on streamed data by Cochrane, T, Foster, P, Lyons, T, Arribas, IP

Anomaly detection in vessel track data by Smith, M

Anomaly detection for industrial big data by Caithness, N, Wallom, D

“…Here we present a prototype technique for data-driven anomaly detection to operate at industrial scale. The method generalizes to application with almost any multivariate dataset based on independent ordinations of repeated (bootstrapped) partitions of the dataset and inspection of the joint distribution of ordinal distances.…”

An assessment of anomaly detection methods applied to microtunnelling by Sheil, B, Suryasentana, S, Cheng, W-C

“…The proliferation of data collected by modern tunnel boring machines presents a substantial opportunity for the application of data-driven anomaly detection (AD) techniques that can adapt dynamically to site specific conditions. …”

Multi-scale anomaly detection on attributed networks by Gutiérrez-Gómez, L, Bovet, A, Delvenne, J-C

Anomaly detection using pattern-of-life visual metaphors by Happa, J, Bashford-Rogers, T, Agrafiotis, I, Goldsmith, M, Creese, S

“…Similar to other anomaly-detection techniques, false positives do exist in our general approach as well. …”

Anomaly detection in networks with application to financial transaction networks by Elliott, A, Cucuringu, M, Luaces, M, Reidy, P, Reinert, G

“…We compare our method with Oddball, a widely used method for anomaly detection in networks, as well as to random classification. …”

Anomaly detection and removal using non-stationary Gaussian processes by Reece, S, Garnett, R, Osborne, M, Roberts, S

Modeling Advanced Persistent Threats to enhance anomaly detection techniques by Atapour, C, Agrafiotis, I, Creese, S

“…We find that attributes from the Command and Control phase of these attacks provide unique features that can be used by any anomaly detection systems. We further validate how expressive our abstract models are by formalizing a fifth APT and examining the behavior that was not captured.…”

Early warning systems for malaria outbreaks in Thailand: an anomaly detection approach by Srimokla, O, Pan-ngum, W, Khamsiriwatchara, A, Padungtod, C, Tipmontree, R, Choosri, N, Saralamba, S

“…In this study, an anomaly detection system is introduced as an early warning mechanism for potential malaria outbreaks in countries like Thailand.…”

Detecting smart meter false data attacks using hierarchical feature clustering and incentive weighted anomaly detection by Higgins, M, Stephen, B, Wallom, D

“…The authors examine an anomaly detection protocol for cyber-attacks that seek to leverage spot prices for financial gain. …”

A state machine system for insider threat detection by Zhang, H, Agrafiotis, I, Erola, A, Creese, S, Goldsmith, M

“…Research has focused on providing rule-based detection systems or anomaly detection tools which use features indicative of malicious insider activity. …”

Insider-threat detection using Gaussian mixture models and sensitivity profiles by Al Tabash, K, Happa, J

“…This paper introduces a novel automated anomaly detection method that uses Gaussian Mixture Models for modelling the normal behaviour of employees to detect anomalous behaviour that may be malicious. …”

Intrusion detection for airborne communication using PHY-layer information by Strohmeier, M, Lenders, V, Martinovic, I

“…Using hypothesis testing and anomaly detection schemes, we develop an intrusion detection system (IDS) that can accurately detect attackers within 40 s.…”

Intrusion detection for airborne communication using PHY-layer information by Strohmeier, M, Lenders, V, Martinovic, I

“…Using hypothesis testing and anomaly detection schemes, we develop an intrusion detection system (IDS) that can accurately detect attackers within 40 s.…”

BRUNO: A deep recurrent model for exchangeable data by Korshunova, I, Degrave, J, Huszár, F, Gal, Y, Gretton, A, Dambre, J

“…The advantages of our architecture are demonstrated on learning tasks that require generalisation from short observed sequences while modelling sequence variability, such as conditional image generation, few-shot learning, and anomaly detection.…”

Improving representation learning through variational autoencoding by Lin, S

“…Firstly, we show that a VAE's ability to compress complicated, high-dimensional data is key to achieving good performance in anomaly detection. We design a VAE-LSTM anomaly detection system that can accurately identify anomalous effects in a time serious. …”

A Tripwire Grammar for Insider Threat Detection by Agrafiotis, I, Erola, A, Goldsmith, M, Creese, S

“…We then orchestrate these tripwires in conjunction with an anomaly detection system and present an approach to formalising tripwires of both categories. …”

Learning retrospective knowledge with reverse reinforcement learning by Zhang, S, Veeriah, V, Whiteson, S

“…We demonstrate empirically the utility of Reverse GVFs in both representation learning and anomaly detection.…”