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What's in a Cyber Threat Intelligence sharing platform? - Appendix

<p>This upload contains the Artificats&nbsp;i.e.&nbsp;surveys and answer datasets for our ACSAC 2021 paper.<br> <br> Full paper reference:</p> <p>Borce Stojkovski, Gabriele Lenzini, Vincent Koenig, and Salvador Rivas. 2021. What&rsquo;s in a Cyber Threat Intelligence sharing platform?: A mixed-methods user experience investigation of MISP. In Annual Computer Security Applications Conference (ACSAC &rsquo;21), December 6&ndash;10, 2021, Virtual Event, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3485832.3488030</p> <p>The research is supported by&nbsp;the Luxembourg National Research Fund through grant PRIDE15/10621687/SPsquared<br> &nbsp;</p> <p>+++++++++++++++++++++++++++++++++++++++<br> I) CONTENT:<br> +++++++++++++++++++++++++++++++++++++++</p> <p>A - Surveys<br> |_ &quot;1 - UEQ+demographics.pdf&quot;&nbsp;<br> |_ &quot;2 - Sentence Completion.pdf&quot;</p> <p>B - Raw participant data<br> |_ &quot;1 - UEQ.csv&quot;<br> |_ &quot;2 - MISP - SC-Q1.csv&quot;<br> |_ &quot;2 - MISP - SC-Q2.csv&quot;<br> |_ &quot;2 - MISP - SC-Q3.csv&quot;<br> |_ &quot;2 - MISP - SC-Q4.csv&quot;<br> |_ &quot;2 - MISP - SC-Q5.csv&quot;<br> |_ &quot;2 - MISP - SC-Q6.csv&quot;<br> |_ &quot;2 - MISP - SC-Q7.csv&quot;<br> |_ &quot;2 - MISP - SC-Q8.csv&quot;</p> <p><br> +++++++++++++++++++++++++++++++++++++++<br> II) DETAILS:<br> +++++++++++++++++++++++++++++++++++++++</p> <p>---------------------------------------<br> A - Surveys / 1 - UEQ+demographics.pdf<br> ---------------------------------------<br> - The file consists of two sections, namely the UEQ (page 1) and the Demographics part (pages 2-3).&nbsp;<br> - The User Experience Questionnaire (UEQ) is a validated instrument for measuring the user experience of interactive products that consists of 6 scales with 26 items in total [2]. For more information refer to the UEQ handbook [2] or to Section 4.1 of our paper.<br> - The Demographics part consists of 15 questions investigating the types of users and their respective needs on the MISP platform.</p> <p>&nbsp;<br> ---------------------------------------<br> A - Surveys / 2 - Sentence Completion.pdf<br> ---------------------------------------<br> - The file consists of 8 questions i.e. sentence completion stems presented to our study participants as explained in Section 4.1 of our paper.</p> <p><br> ---------------------------------------<br> B - Raw participant data / &quot;1 - UEQ.csv&quot;<br> ---------------------------------------<br> The file contains the (annonymized) raw participant data corresponding to the UEQ and demographics sections of the survey (file: &quot;A - Surveys / 1 - UEQ+demographics.pdf&quot;). It consists of the following fields:<br> - Participant ID<br> - 26 values (Q-ID 1.1 .. 1.26) corresponding to the 26 items of the UEQ scale<br> - 8 values (Q-ID 2.1.1 .. 2.1.8) corresponding to the Demographics question No. 1 (&quot;Which of the following roles best describes how you (intend to) use MISP?&quot;)<br> - 14 values (Q-ID 2.2.1 .. 2.2.14) correspondign to the Demographics question No. 2. (&quot;Which of the following categories best describes the organization you work in?&quot;)<br> - 1 value (Q-ID 2.3) corresponding to the Demographics question No. 3 (&quot;How long have you been using MISP?&quot;)<br> - 1 value (Q-ID 2.4) corresponding to the Demographics question No. 4 (&quot;If applicable, how often do you use MISP?&quot;)<br> - 1 value (Q-ID 2.5) corresponding to the Demographics question No. 5 (&quot;Have you attended a training session on MISP before?&quot;)<br> - 1 value (Q-ID 2.6) corresponding to the Demographics question No. 6 (&quot;Have you used the MISP training materials before?&quot;)<br> - 1 value (Q-ID 2.7) corresponding to the Demographics question No. 7 (&quot;Have you used the MISP virtual machine before? &quot;)<br> - 1 value (Q-ID XTR2.1) corresponding to the Demographics question No. 8 (&quot;Have you used PyMISP - the Python library to access MISP via the API before? &quot;)<br> - 1 value (Q-ID XTR2.2) corresponding to the Demographics question No. 9 (&quot;Have you cloned a MISP repository before? &quot;)<br> - 1 value (Q-ID XTR2.3) corresponding to the Demographics question No. 10 (&quot;Have you contributed to any of the MISP repositories before? &quot;)<br> - 1 value (Q-ID 2.8) corresponding to the Demographics question No. 11 (&quot;Do you have an engineering or computer science background? &quot;)<br> - 1 value (Q-ID 2.9) corresponding to the Demographics question No. 12 (&quot;What is the highest level of school you have completed / degree you have received? &quot;)<br> - 1 value (Q-ID 2.10) corresponding to the Demographics question No. 13 (&quot;What is your age group?&quot;)<br> - 1 value (Q-ID 2.11) corresponding to the Demographics question No. 14 (&quot;To which gender identity do you most identify?&quot;)</p> <p><br> ---------------------------------------<br> B - Raw participant data / &quot;2 - SC-Q[1..8].csv&quot;<br> ---------------------------------------<br> The 8 files contain the raw participant responses to the different sentence completion questions (see file: &quot;A - Surveys / 2 - Sentence Completion.pdf&quot;). Each file consists of two fields:<br> - Participant ID&nbsp;<br> - 1 value for the sentence completion input.</p> <p>For instance, the file &quot;2 - SC-Q1.csv&quot; corresponds to the Sentence completion stem &quot;When I use MISP, I feel &hellip;&quot;. Similarly, &quot;2 - SC-Q2.csv&quot; corresponds to the Sentence completion stem &quot;MISP is best for &hellip;&quot;. The same logic applies to all 8 files (&quot;2 - SC-Q[1..8].csv&quot;).</p> <p>REFERENCES:</p> <p>[1] MISP. 2021. MISP - Open Source Threat Intelligence Platform &amp; Open Standards For Threat Information Sharing. Retrieved August 15, 2021 from https://www.misp-project.org</p> <p>[2] UEQ. 2021. User Experience Questionnaire. Retrieved August 15, 2021 from https://www.ueq-online.org/</p> <p>[3] UEQ. 2021. User Experience Questionniare Handbook. Version 8 (31.12.2019). Retrieved August 15, 2021 from: https://www.ueq-online.org/Material/Handbook.pdf</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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