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<data>
<terms url="https://www.bankofcanada.ca/terms/"></terms>
<groupDetail>
    <label>Malicious cyber incidents by NAICS sector and threat source</label>
    <description><![CDATA[This file contains data based on the Bank of Canada research paper described above.
The data is not an official statistical release by the Bank of Canada, and it is provided on a voluntary basis by the author(s).
    The Bank and the author(s) are not responsible for errors in this file and do not guarantee that the series will be updated in the future.
    A contact person is listed below for any question or other inquiry.
Loss per incident 000s constant USD (2018=100)

Sources: Advisen cyber loss data, July 2019 (all years); US Bureau of Labor Statistics Consumer Price Index (accessed through Federal Reserve Economic Data); Bank of Canada calculations; North American Industry Classification System (NAICS)]]></description>
    <link>https://www.bankofcanada.ca/?p=208438</link>
</groupDetail>
<seriesDetail>
<series id="WM_SAN_YAND20191215_C4_S00">
<label>Incidents_External—all sectors</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S01">
<label>Incidents_Internal—all sectors</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S02">
<label>Incidents_External—finance and insurance</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S03">
<label>Incidents_Internal—finance and insurance</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S04">
<label>Median loss_External—all sectors</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S05">
<label>Median loss_Internal—all sectors</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S06">
<label>Median loss_External—finance and insurance</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S07">
<label>Median loss_Internal—finance and insurance</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S08">
<label>Average loss_External—all sectors</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S09">
<label>Average loss_Internal—all sectors</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S10">
<label>Average loss_External—finance and insurance</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
<series id="WM_SAN_YAND20191215_C4_S11">
<label>Average loss_Internal—finance and insurance</label>
<description></description>
<dimension key="d" name="Date"/>
</series>
</seriesDetail>
<observations>
<o d="2019-12-04"><v s="WM_SAN_YAND20191215_C4_S00">43517</v><v s="WM_SAN_YAND20191215_C4_S01">5796</v><v s="WM_SAN_YAND20191215_C4_S02">8225</v><v s="WM_SAN_YAND20191215_C4_S03">1288</v><v s="WM_SAN_YAND20191215_C4_S04">214</v><v s="WM_SAN_YAND20191215_C4_S05">134</v><v s="WM_SAN_YAND20191215_C4_S06">237</v><v s="WM_SAN_YAND20191215_C4_S07">133</v><v s="WM_SAN_YAND20191215_C4_S08">28121</v><v s="WM_SAN_YAND20191215_C4_S09">11252</v><v s="WM_SAN_YAND20191215_C4_S10">11214</v><v s="WM_SAN_YAND20191215_C4_S11">8411</v></o>
</observations>
</data>