Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings

Research Article

Investigating the Impact of Cyber-Attack on Load Profile of Home Energy Management System

  • @INPROCEEDINGS{10.1007/978-3-319-76571-6_14,
        author={Ugonna Anuebunwa and Haile-Selassie Rajamani and Prashant Pillai and Oghenovo Okpako},
        title={Investigating the Impact of Cyber-Attack on Load Profile of Home Energy Management System},
        proceedings={Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings},
        proceedings_a={WISATS},
        year={2018},
        month={3},
        keywords={Cybersecurity Demand Response Dynamic pricing  automation Internet of Things},
        doi={10.1007/978-3-319-76571-6_14}
    }
    
  • Ugonna Anuebunwa
    Haile-Selassie Rajamani
    Prashant Pillai
    Oghenovo Okpako
    Year: 2018
    Investigating the Impact of Cyber-Attack on Load Profile of Home Energy Management System
    WISATS
    Springer
    DOI: 10.1007/978-3-319-76571-6_14
Ugonna Anuebunwa1,*, Haile-Selassie Rajamani2,*, Prashant Pillai3,*, Oghenovo Okpako1,*
  • 1: University of Bradford
  • 2: University of Wollongong
  • 3: Oxford Brookes University
*Contact email: U.R.Anuebunwa@bradford.ac.uk, HaileRajamani@uowdubai.ac.ae, ppillai@brookes.ac.uk, O.Okpako@bradford.ac.uk

Abstract

Load profile for a household is key to understanding and applying automated load scheduling executed by the Home Energy Management Systems (HEMS). The provision of securing this basic domestic information as well as preventing intruders from being able to accessing and modifying them should be a matter of high priority. Any malicious attack on this data will have serious impact on the performance of the load scheduling algorithms. This paper is an investigation of how the scheduled load profile of a household can be deformed due to false data injection on the original load profile as a result of cyber-attack on the HEMS. Various incremental false data levels are introduced during an optimization process and the corresponding effect on the overall scheduled load profile is evaluated to understand the actual impact of the cyber-attack. Results show that as noise attack level increases, the optimized load profile shrinks and approaches a straight line which is equivalent to the average value of the original load profile. The implication of having such a load profile as a schedule is the obvious excessive disruption of a household’s energy use which results to having appliances switched ON or OFF at highly undesired times of the day thereby exacerbating user inconvenience.