File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Book Chapter: Smart home cybersecurity considering the integration of renewable energy

TitleSmart home cybersecurity considering the integration of renewable energy
Authors
KeywordsCyberattacks
Net metering
Partially observable Markov decision process
Renewable energy
Smart home
Issue Date2016
Citation
Smart Cities and Homes: Key Enabling Technologies, 2016, p. 173-189 How to Cite?
AbstractThe smart home technology has attracted significant research interests recently. Despite this, such a technology is vulnerable to various security threats. A particularly important example is pricing cyberattack where hackers manipulate the guideline electricity pricing seen at the smart meters such that the electricity bills of hackers can be reduced and the local power system balance can be disturbed. This cybersecurity problem aggravates with the integration of renewable energy. The main reason is that renewable energy sources are associated with the inherent uncertainties. Since the total energy demand is equal to those requested from customers, it induces the uncertainties to the energy demand from the utility. The introduction of net metering technique that allows the customers to sell the excessively generated renewable energy back to the grid, further increases variations in energy supply. There are some technical advances in developing detection and defense frameworks against pricing cyberattacks. However, none of them considers the renewable energy integration or impact of net metering.In this book chapter, we will describe the impact of the integration of renewable energy and net metering technology on the smart home pricing cyberattack detection. Renewable energy and net metering change the grid energy demand, which is considered by the utility when designing the guideline price. If the cyberattack detection technique does not consider this, the detection performance would be degraded. This motivates us to develop a new smart home pricing cyberattack detection framework which handles the aforementioned impact into the detection. The simulation results demonstrate that our new framework can significantly improve the detection accuracy for about 30% compared to the state-of-art technique.
Persistent Identifierhttp://hdl.handle.net/10722/336164

 

DC FieldValueLanguage
dc.contributor.authorLiu, Y.-
dc.contributor.authorHu, S.-
dc.contributor.authorWu, J.-
dc.contributor.authorShi, Y.-
dc.contributor.authorJin, Y.-
dc.contributor.authorHu, Y.-
dc.contributor.authorLi, X.-
dc.date.accessioned2024-01-15T08:24:05Z-
dc.date.available2024-01-15T08:24:05Z-
dc.date.issued2016-
dc.identifier.citationSmart Cities and Homes: Key Enabling Technologies, 2016, p. 173-189-
dc.identifier.urihttp://hdl.handle.net/10722/336164-
dc.description.abstractThe smart home technology has attracted significant research interests recently. Despite this, such a technology is vulnerable to various security threats. A particularly important example is pricing cyberattack where hackers manipulate the guideline electricity pricing seen at the smart meters such that the electricity bills of hackers can be reduced and the local power system balance can be disturbed. This cybersecurity problem aggravates with the integration of renewable energy. The main reason is that renewable energy sources are associated with the inherent uncertainties. Since the total energy demand is equal to those requested from customers, it induces the uncertainties to the energy demand from the utility. The introduction of net metering technique that allows the customers to sell the excessively generated renewable energy back to the grid, further increases variations in energy supply. There are some technical advances in developing detection and defense frameworks against pricing cyberattacks. However, none of them considers the renewable energy integration or impact of net metering.In this book chapter, we will describe the impact of the integration of renewable energy and net metering technology on the smart home pricing cyberattack detection. Renewable energy and net metering change the grid energy demand, which is considered by the utility when designing the guideline price. If the cyberattack detection technique does not consider this, the detection performance would be degraded. This motivates us to develop a new smart home pricing cyberattack detection framework which handles the aforementioned impact into the detection. The simulation results demonstrate that our new framework can significantly improve the detection accuracy for about 30% compared to the state-of-art technique.-
dc.languageeng-
dc.relation.ispartofSmart Cities and Homes: Key Enabling Technologies-
dc.subjectCyberattacks-
dc.subjectNet metering-
dc.subjectPartially observable Markov decision process-
dc.subjectRenewable energy-
dc.subjectSmart home-
dc.titleSmart home cybersecurity considering the integration of renewable energy-
dc.typeBook_Chapter-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/B978-0-12-803454-5.00009-2-
dc.identifier.scopuseid_2-s2.0-84987893059-
dc.identifier.spage173-
dc.identifier.epage189-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats