• DocumentCode
    579231
  • Title

    Forensic content detection through power consumption

  • Author

    Greveler, Ulrich ; Justus, Benjamin ; Loehr, Dennis

  • Author_Institution
    Comput. Security Lab., Munster Univ. of Appl. Sci., Steinfurt, Germany
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    6759
  • Lastpage
    6763
  • Abstract
    Digital forensic investigators are facing challenging problems of finding clues and solving crimes involving digital data. Advanced metering devices (smart meters) are being installed throughout electric networks in Europe and in the United States. The high-resolution energy consumption data which are transmitted by some smart meters to the utility company allow identification and monitoring of equipment within consumers´ homes. Our research shows that the analysis of the household´s electricity usage profile at a 0.5s-1 sample rate permits identification of audiovisual content. By collecting a single household smart meter data over a period of one month, our forensic results also show that audiovisual content identification is not heavily obstructed by typical electric appliance activities in a household.
  • Keywords
    computer forensics; domestic appliances; power consumption; power meters; Europe; United States; advanced metering devices; audiovisual content; digital data; digital forensic investigators; electric appliance activities; electric networks; electricity usage profile; forensic content detection; high-resolution energy consumption data; power consumption; smart meters; Brightness; Correlation; Forensics; Motion pictures; Multimedia communication; Power demand; TV; Audiovisual Identification; Digital Forensics; Privacy; Security; Smart Meters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364822
  • Filename
    6364822