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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
2019-12-01
9 pages
Article (Journal)
Electronic Resource
English
power engineering computing , smart cities , C5620 Computer networks and techniques , advanced metering infrastructure , reliable energy management scheme , electricity theft detection , electricity theft occurrence , B0170N Reliability , B8110C Power system control , computer network security , B8150 Power system measurement and metering , electricity supply industry , sustainable city , C6130S Data security , energy management systems , energy conservation , power system reliability , energy efficiency , power system planning , smart power grids , secured energy management scheme , smart grids , cyber attacks , B8110B Power system management, operation and economics , smart city planning , power meters , C7410B Power engineering computing , B6210L Computer communications , robust energy management scheme , power system security , smart utility network , smart electricity meter deployments , SG deployments
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