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  • Open Access


    Electricity Theft Detection and Localization in Smart Grids for Industry 4.0

    Worakamol Wisetsri1, Shamimul Qamar2, Gaurav Verma3,*, Deval Verma4, Varun Kumar Kakar5, Thanyanant Chansongpol6, Chanyanan Somtawinpongsai6, Chai Ching Tan7

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1473-1483, 2022, DOI:10.32604/iasc.2022.024610

    Abstract Industry 4.0 is considered as the fourth revolution in industrial sector that represents the digitization of production process in a smarter way. Industry 4.0 refers to the intelligent networking of machines, their processes, and infrastructure, as well as the use of information and computer technology to transform industry. The technologies like industrial internet of things (IIoT), big data analytics, cloud computing, augmented reality and cyber security are the main pillars of industry 4.0. Industry 4.0, in particular, is strongly reliant on the IIoT that refers to the application of internet of things (IoT) in industrial sector like smart grids (SG).… More >

  • Open Access


    Energy Theft Identification Using Adaboost Ensembler in the Smart Grids

    Muhammad Irfan1,*, Nasir Ayub2, Faisal Althobiani3, Zain Ali4, Muhammad Idrees5, Saeed Ullah2, Saifur Rahman1, Abdullah Saeed Alwadie1, Saleh Mohammed Ghonaim3, Hesham Abdushkour3, Fahad Salem Alkahtani1, Samar Alqhtani6, Piotr Gas7

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2141-2158, 2022, DOI:10.32604/cmc.2022.025466

    Abstract One of the major concerns for the utilities in the Smart Grid (SG) is electricity theft. With the implementation of smart meters, the frequency of energy usage and data collection from smart homes has increased, which makes it possible for advanced data analysis that was not previously possible. For this purpose, we have taken historical data of energy thieves and normal users. To avoid imbalance observation, biased estimates, we applied the interpolation method. Furthermore, the data unbalancing issue is resolved in this paper by Nearmiss undersampling technique and makes the data suitable for further processing. By proposing an improved version… More >

  • Open Access


    A Cryptographic-Based Approach for Electricity Theft Detection in Smart Grid

    Khelifi Naim1, *, Benahmed Khelifa2, Bounaama Fateh3

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 97-117, 2020, DOI:10.32604/cmc.2020.09391

    Abstract In order to strengthen their security issues, electrical companies devote particular efforts to developing and enhancing their fraud detection techniques that cope with the information and communication technologies integration in smart grid fields. Having been treated earlier by several researchers, various detection schemes adapted from attack models that benefit from the smart grid topologies weaknesses, aiming primarily to the identification of suspicious incoming hazards. Wireless meshes have been extensively used in smart grid communication architectures due to their facility, lightness of conception and low cost installation; however, the communicated packets are still exposed to be intercepted maliciously in order either… More >

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