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- W87475279 abstract "The functionalities of a Smart Grid include the use of a network of power management devices to control the demand-based power distributions, dynamic pricing, reliable power quality monitoring, self-healing, and other customer services within the grid. However, by the very nature of these functions, there arises a great need for system security as the network connection offers would-be hostile attackers an ideal target. A protection mechanism that is adaptive and forward looking for the types of attacks that are unaccounted in terms of the latent system vulnerabilities is explored in this chapter. The method of learning normal operations and monitoring for abnormal operations has the potential for providing increased security and tamper detection within the grid. This chapter reviews present day state-of-the-art behavior monitoring and anomaly detection methods along with a presentation of a new method for learning event patterns and detecting anomalies for the purposes of tamper detection." @default.
- W87475279 created "2016-06-24" @default.
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- W87475279 date "2013-01-01" @default.
- W87475279 modified "2023-10-16" @default.
- W87475279 title "Smart Grid Tamper Detection Using Learned Event Patterns" @default.
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- W87475279 doi "https://doi.org/10.1007/978-3-642-38134-8_5" @default.
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