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A platform for research: civil engineering, architecture and urbanism
Electricity theft detection by sources of threats for smart city planning
Smart city adoption and deployment has taken the centre stage worldwide with its realisation clearly hinged on energy efficiency, but its planning is threatened by the vulnerability of smart grids (SGs). Adversaries launch attacks with various motives, but the rampaging electricity theft menace is causing major concerns to SGs deployments and consequently, energy efficiency. Smart electricity meters deployments via the advanced metering infrastructure present promising solutions and even greater potential as it provides adequate data for analytical inferences for achieving proactive measures against various cyberattacks. This study suggests the sources of threats as the first step of such proactive measures of curbing electricity thefts. It provides a framework for monitoring, identifying and curbing the threats based on factors indicative of electricity thefts in a smart utility network. The proposed framework basically focuses on these symptoms of the identified threats indicative of possible electricity theft occurrence to decide on preventing thefts. This study gives a useful background to smart city planners in realising a more reliable, robust and secured energy management scheme required for a sustainable city.
Electricity theft detection by sources of threats for smart city planning
Smart city adoption and deployment has taken the centre stage worldwide with its realisation clearly hinged on energy efficiency, but its planning is threatened by the vulnerability of smart grids (SGs). Adversaries launch attacks with various motives, but the rampaging electricity theft menace is causing major concerns to SGs deployments and consequently, energy efficiency. Smart electricity meters deployments via the advanced metering infrastructure present promising solutions and even greater potential as it provides adequate data for analytical inferences for achieving proactive measures against various cyberattacks. This study suggests the sources of threats as the first step of such proactive measures of curbing electricity thefts. It provides a framework for monitoring, identifying and curbing the threats based on factors indicative of electricity thefts in a smart utility network. The proposed framework basically focuses on these symptoms of the identified threats indicative of possible electricity theft occurrence to decide on preventing thefts. This study gives a useful background to smart city planners in realising a more reliable, robust and secured energy management scheme required for a sustainable city.
Electricity theft detection by sources of threats for smart city planning
Otuoze, Abdulrahaman Okino (author) / Mustafa, Mohd Wazir (author) / Mohammed, Olatunji Obalowu (author) / Saeed, Muhammad Salman (author) / Surajudeen-Bakinde, Nazmat Toyin (author) / Salisu, Sani (author)
IET Smart Cities ; 1 ; 52-60
2019-11-11
9 pages
Article (Journal)
Electronic Resource
English
computer network security , power system planning , cyber attacks , energy management systems , energy efficiency , energy conservation , power system reliability , smart utility network , smart electricity meter deployments , SG deployments , power meters , reliable energy management scheme , robust energy management scheme , smart cities , electricity theft detection , sustainable city , smart city planning , power system security , smart power grids , advanced metering infrastructure , secured energy management scheme , electricity supply industry , electricity theft occurrence , power engineering computing , smart grids
Metadata by IET is licensed under CC BY 3.0
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