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Table 9 – Anonymized medical record (2)

                                          Birth        Gender          Problem

                                          1970          Male        cold
                                          1970          Male        obesity
                                          1970          Male        diabetes

                                          198*         Human        diabetes
                                          198*         Human        obesity
                                          198*         Human        diabetes
                                          198*         Human        cold


            8.3  Application of anonymization method for smart metering

            Recently, owing to the evolution of cloud services, discussion of secondary uses of data has attracted
            attention, especially for big data. However, preserving privacy is a significant problem. As a typical
            application, here we have focused on demand response services in a smart grid as a promising
            application of smart sustainable city.

            The introduction of a smart meter has been considered and achieved around the world. It manages
            the energy use of a home to achieve a balance between energy saving and a comfortable lifestyle.
            Smart meters have a communication function to transmit the electric power consumption of a
            household at regular intervals. The primary use of smart meters is for fare correction. In this case,
            power  consumption  data  should  be  collected  without  loss  of  data.  This  means  that  private
            information is included in the data.
            Demand response (DR) is a typical application of the secondary use of electric power consumption
            data  measured  by  a  smart  meter.  DR  can  achieve  peak‐cut  and  peak‐shift  of  electricity  use  by
            changing the price of electricity or by providing incentives to encourage customers to change their
            normal  consumption  pattern  when  demand  for  electric  power  is  high.  Variable  pricing  may
            encourage consumers to reduce electricity consumption and will provide an opportunity to think
            more about how and when we use electricity. Electric companies or aggregators create DR messages
            to households according to their current electric power demand. An operation test conducted in
                                                                                       69
            the United States demonstrated electric power demand reduction of 10‐20% . DR can be achieved
            using electric power consumption data transmitted from residential smart meters.

            As an example of DR, electric power consumption will be used widely for secondary use due to its
            flexibility in applications. The cost of introducing smart meter and devices to control home electric
            appliances is comparatively higher than the reduction cost of electricity by itself. DR services use a
            smart meter, which is an electric power meter with a communication function to transmit the
            electric power consumption of a household to a datacenter. This power consumption data can be
            used to develop and exploit new services. Recently, secondary use of such data has been considered
            for such services. DR services are not only for electric companies that collect raw data from smart
            meters. For other companies, collecting private information with such meters is prohibited. To avoid
            disclosing private information, it is sufficient for such companies to use generalized or anonymized
            data if the quality of their services can be guaranteed. However, as described in section 7, electric
            power consumption data must be treated with significant care. An anonymizing method for electric

            ____________________
            69  Yuichi  Nakamura,  Kanae  Matsui  and  Hiroaki  Nishi;  Anonymization  Infrastructure  for  Secondary  Use  of  Data;
               ICOMP'14 ‐ The 2014 International Conference on Internet Computing and Big Data, 2014.

            734                                                      ITU‐T's Technical Reports and Specifications
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