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Decision Tree Learning for Fraud Detection in Consumer Energy Consumption.

, , and . ICMLA, page 1175-1179. IEEE, (2015)

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Smart Grid Security Educational Training with ThunderCloud: A Virtual Security Test Bed., , and . InfoSecCD, page 105-110. ACM, (2013)CReST-Security Knitting Kit: Ready to Use Teaching Resources to Embed Security Topics into Upper Division CS Courses (Abstract Only)., and . SIGCSE, page 711. ACM, (2016)Decision Tree Learning for Fraud Detection in Consumer Energy Consumption., , and . ICMLA, page 1175-1179. IEEE, (2015)Towards Image-Based Dark Vendor Profiling: An Analysis of Image Metadata and Image Hashing in Dark Web Marketplaces., , and . IWSPA@CODASPY, page 15-22. ACM, (2020)Understanding the Behavior of Ransomware: An I/O Request Packet (IRP) Driven Study on Ransomware Detection against Execution Time., and . CIC, page 1-10. IEEE, (2023)An I/O Request Packet (IRP) Driven Effective Ransomware Detection Scheme using Artificial Neural Network., , and . IRI, page 319-324. IEEE, (2020)Smart grid energy fraud detection using artificial neural networks., , and . CIASG, page 91-96. IEEE, (2014)Sensor Corroboration for Anomaly Sensors in an Intrusion Detection Environment., and . CAINE, page 278-283. ISCA, (2007)Avoiding Occupancy Detection From Smart Meter Using Adversarial Machine Learning., and . IEEE Access, (2021)Clustering of smart meter data for disaggregation., and . GlobalSIP, page 507-510. IEEE, (2013)