.. title: »PyHasse« and »ALARM information security« 
.. slug: blog_0019
.. date: 2021-06-01
.. tags: modules
.. category: announcement
.. link: 
.. description: 
.. type: text

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       <a href="https://alarm.wildau.biz/en"
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       <img src="/files/blog/alarm-logo.webp"
            alt="Jupyter Notebooks"
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       <span class="db f6 pv2">ALARM-Website</span>
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»Security awareness is the knowledge and attitude members of an
organization possess regarding the protection of the physical, and
especially informational, assets of that organization. Many
organizations require formal security awareness training for all
workers when they join the organization and periodically thereafter,
usually annually.« :sup:`1` . The project »Awareness Laboratory
SME information security « (ALARM) :sup:`2` is concerned with the problem that
small enterprises do neither have the capacity to perform security
trainings in their own responsibility, nor the financial support. The
central item is the concept of (security) awareness. A quantification
of awareness should help to measure and control the success of any
training program for small enterprises. However, the question is, how to measure
awareness. The problem of supporting a non-measurable quantity by a set
of measurable indicators is well known and lead to many statistical
concepts, for example structural equation modelling (SEM) just to
mention a rather recent development. SEM is challenging not only due
to its high-sophisticated statistical background :sup:`3`,
but also because of its requirement to provide large data sets.

As an alternative in project ALARM an approach is tested, which is
based on the theory of partially ordered sets. Although, up to know
this theory applied to multi-indicator systems is far from the
powerful statistical machinery as in SEM or similar approaches, the
psosetic approach can be useful in selecting indicators which model an
unknown quantity for the purpose of a mutual comparison. The
mathematics in this posetic theory is relatively simple, however, the
evaluations are troublesome to be performed. Therefore, there is
considerable interest in suitable computerized tools, such as PyHasse
:sup:`4`. Recently a new version of PyHasse :sup:`5` was established,
which allows an easy access through Internet websites:sup:`6`.  So the
idea is, once indicators for an estimation of awareness are found, any
coworker of small enterprises should be able to apply this software
after a minimal time of training and to control his mastery in
computer security.


*Footnotes*

.. [1] https://en.wikipedia.org/wiki/Security_awareness
.. [2] https://alarm.wildau.biz/en
.. [3] Kline, R. B. 2016. Principles and Practice of Structural Equation Modeling.
       The Guilford Press, New York. 
.. [4] Koppatz, P., R. Bruggemann, L. Carlsen, F. Maggino, and V. Pratz. 2019.
       Jupyter Notebooks - Analysis, and Visualizaton.
       Food Sustainability as an Exemplary Case. Pages 153-165
       in J. Wittmann, ed. Simulation in Umwelt- und Geowissenschaften, Worshop Kassel 2019.
       Shaker-Verlag, Düren.
.. [5] https://posets.pyhasse.org/
.. [6] Bruggemann, R., A. Kerber, P. Koppatz, and V. Pratz. 2021.
       PyHasse, a Software Package for Application Studies of Partial Orderings.
       Pages 291-307
       in R. Bruggemann, L. Carlsen, T. Beycan, C. Suter, and F. Maggino, eds.
       Measuring and Understanding Complex Phenomena;
       Indicators and Their Analysis in Different Scientific Fields.
       Springer Nature, Cham Switzerland.

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