Securing Smart Electricity Meters Against Customer Attacks

被引:13
|
作者
Mesbah, Wessam [1 ]
机构
[1] King Fahd Univ Petr & Minerals, Elect Engn Dept, Dhahran 31261, Saudi Arabia
关键词
Tampering; malfunctioning; smart meters; coding; customer attacks; security;
D O I
10.1109/TSG.2016.2545524
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose and discuss the challenges of a novel method for securing the readings of smart electricity meters against tampering or malfunctioning. We apply the idea of linear error-correcting block codes, which has originally been used in detecting and correcting errors in data transmission, to detect and correct customer attacks aimed at changing the readings of smart electricity meters. We propose to use these codes, with some modifications, in order to detect and correct deceptive readings of a group of electricity meters measuring the energy delivered by cables\feeders fed from the same node\bus. We start by considering a single meter attack, and we show that the detection and correction of a single attack in the readings of 2(M) -M-1 meters, connected to cables fed from the same node, requires only using M current transformers in addition to knowing the voltage at the common node. We demonstrate the theoretical implementation of this coding scheme, and then we discuss some practical challenges and their proposed solutions. Furthermore, extension to multi-error correcting codes, which are capable of detecting and correcting several simultaneous deceptive readings of a group of meters, is also discussed.
引用
收藏
页码:101 / 110
页数:10
相关论文
共 50 条
  • [1] Electricity Smart Meters Interfacing the Households
    Benzi, Francesco
    Anglani, Norma
    Bassi, Ezio
    Frosini, Lucia
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (10) : 4487 - 4494
  • [2] More stupidity of smart electricity meters
    Edge, Sam
    [J]. NEW SCIENTIST, 2018, 239 (3190) : 54 - 54
  • [3] Securing demand-response in smart grids against false pricing attacks
    Tang, Daogui
    Guerrero, Josep M.
    Zio, Enrico
    [J]. ENERGY REPORTS, 2024, 12 : 892 - 905
  • [4] Securing Cognitive Radio Enabled Smart Grid Systems against Cyber Attacks
    Basharat, Mehak
    Ejaz, Waleed
    Ahmed, Syed Hassan
    [J]. 2015 FIRST INTERNATIONAL CONFERENCE ON ANTI-CYBERCRIME (ICACC), 2015, : 62 - 67
  • [5] Clustering and Ensemble Based Approach for Securing Electricity Theft Detectors Against Evasion Attacks
    Elgarhy, Islam
    Badr, Mahmoud M.
    Mahmoud, Mohamed M. E. A.
    Fouda, Mostafa M.
    Alsabaan, Maazen
    Kholidy, Hisham A.
    [J]. IEEE ACCESS, 2023, 11 : 112147 - 112164
  • [6] Securing Smart Meters Data for AMI Using RBAC
    Barka, Ezedin
    Al Hussien, Nedaa
    Shuaib, Khaled
    [J]. 2016 11TH ASIA JOINT CONFERENCE ON INFORMATION SECURITY (ASIAJCIS), 2016, : 1 - 8
  • [7] Securing Smart Meters Through Physical Properties of Their Components
    Rincon, Alvaro E. R.
    Melo, Wilson S., Jr.
    de Farias, Claudio Miceli
    Carmo, Luiz F. Rust C.
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [8] Robust Detection of Electricity Theft Against Evasion Attacks in Smart Grids
    Takiddin, Abdulrahman
    Ismail, Muhammad
    Serpedin, Erchin
    [J]. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [9] The relation between smart meters and electricity consumers
    Opris, Ioana
    Caracasian, Lusine
    [J]. 2013 12TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC 2013), 2013, : 325 - 329
  • [10] Securing Smart Cities using LSTM algorithm and lightweight containers against botnet attacks
    Salim, Mikail Mohammed
    Singh, Sushil Kumar
    Park, Jong Hyuk
    [J]. APPLIED SOFT COMPUTING, 2021, 113