Design and implementation on an anomaly detection scheme supported by neural networks by Chia, Maximillian Khim Heng

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From soft sensing to anomaly detection in combined sewer systems by Palmitessa, Rocco

“…By investigating and testing updated 1D hydrodynamic models and LSTM neural networks, this thesis demonstrates their concrete potential for soft sensing and anomaly detection applications and promotes their integration in the monitoring and control workflows of modern utility companies.…”
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Identifying malicious activities through anomaly detection in ethereum network by Neo, Remus Keng Long

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Video anomaly detection using unsupervised deep learning methods by Yan, Mengjia

“…Video anomaly detection has played a significant role in computer vision and video surveillance tasks. …”
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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.…”

A comparison of different technique in flow based anomaly detection by Salah, Mohammad

Subjects: “…Anomaly detection (Computer security)…”
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Adaptive and online data anomaly detection for wireless sensor systems by Rassam, Murad Abdo, Maarof, Mohd. Aizaini, Zainal, Anazida

“…In this paper, two efficient and effective anomaly detection models PCCAD and APCCAD are proposed for static and dynamic environments, respectively. …”

Integrating genetic algorithms and fuzzy c-means for anomaly detection by Chimphlee, Witcha, Abdullah, Abdul Hanan, Sap, Noor Md., Chimphlee, Siriporn, Srinoy, Surat

“…The amount of available network audit data instances is usually large; human labeling is tedious, time-consuming, and expensive. Traditional anomaly detection algorithms require a set of purely normal data from which they train their model. …”
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To identify suspicious activity in anomaly detection based on soft computing by Chimphlee, Witcha, Sap, M., Abdullah, Abdul Hanan, Chimphlee, Siriporn, Srinoy, Surat

“…Empirical studies using the network security data set from the DARPA 1998 offline intrusion detection project (KDD 1999 Cup) show the feasibility of misuse and anomaly detection results.…”

Unsupervised anomaly detection for unlabelled wireless sensor networks data by Mohd. Zamry, Nurfazrina, Zainal, Anazida, A. Rassam, Murad

“…Therefore, this paper will use the unsupervised one-class SVM (OCSVM) to build the anomaly detection schemes for better decision making. Unsupervised OCSVM is preferable to be used in WSNs domain due to the one class of data training is used to build normal reference model. …”
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Distributed CESVM-DR anomaly detection for wireless sensor network by Mohd. Zamry, Nurfazrina, Zainal, Anazida, A. Rassam, Murad

“…Meanwhile, the dimension reduction has been providing the lightweight of the anomaly detection schemes. In this paper Distributed Centered Hyperellipsoidal Support Vector Machine (DCESVM-DR) anomaly detection schemes is proposed to provide the efficiency and effectiveness of the anomaly detection schemes.…”
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A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

“…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. Misuse detection algorithms model know attack behavior. …”

An anti virus scheme using digital signature and anomaly detection techniques / by 371873 Suresh Babu Subramaniam

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A novel method for unsupervised anomaly detection using unlabelled data / by Abdul Samad Ismail, author, Dahliyusmanto, 1972-, author, Abdul Hanan Abdullah, author, Witcha Chimphlee, author, International Conference on Computational Science and Its Applications (2008: Italy)

Anomaly detection for controlling data accruracy in service industr [electronic resource] / by Nurul Asyikin Samsuddin, 1984-

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Anomaly Detection in Time Series Data Using Spiking Neural Network by Bariah, Yusob, Zuriani, Mustaffa, Junaida, Sulaiman

“…One of the crucial issues in anomaly detection problems is identifying abnormal patterns in time series data that contains noise and in unstructured form. …”
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Unsupervised Deep Anomaly Detection for Industrial Multivariate Time Series Data by Wenqiang Liu, Li Yan, Ningning Ma, Gaozhou Wang, Xiaolong Ma, Peishun Liu, Ruichun Tang

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Ionospheric anomalies detected by ionosonde and possibly related to crustal earthquakes in Greece by L. Perrone, A. De Santis, C. Abbattista, L. Alfonsi, L. Amoruso, M. Carbone, C. Cesaroni, G. Cianchini, G. De Franceschi, A. De Santis, R. Di Giovambattista, D. Marchetti, F. J. Pavòn-Carrasco, F. J. Pavòn-Carrasco, A. Piscini, L. Spogli, L. Spogli, F. Santoro

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Deep Clustering-Based Anomaly Detection and Health Monitoring for Satellite Telemetry by Muhamed Abdulhadi Obied, Fayed F. M. Ghaleb, Aboul Ella Hassanien, Ahmed M. H. Abdelfattah, Wael Zakaria

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