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<p>Greetings,</p>
<p>This email is to invite you to take part in the first <b>Workshop
on Hot Trends in Embedded Systems Privacy (HTESP 2022)</b>.<br>
This workshop is a much needed opportunity to showcase new
approaches to the problem of Privacy Protection in Embedded
Systems Design.</p>
<p>If you want to know more about <b>HTESP</b>, visit our website:
<a href="https://sites.google.com/view/htesp2022"
class="moz-txt-link-freetext">https://sites.google.com/view/htesp2022</a><br>
</p>
<p><b>Important Dates: </b><br>
<font color="#ff0000">Submission due: June 17, 2022 [Firm
Deadline]<br>
Notification due: July 1, 2022<br>
Camera-ready due: August 1, 2022<br>
Workshop Date: October 3, 2022</font></p>
<p><b>Abstract:</b></p>
<p>Embedded systems have become pervasive in modern society, and
their diffusion is still growing rapidly, apparently without
limits. Applications fields are countless, ranging from
automotive, telecommunications, digital healthcare, smart cards,
military, satellites, computer networking, digital consumer
electronics, Internet of Things, nano- or bionano-things, and so
on. <br>
</p>
<p>The huge amount of data gathered and processed by such systems
often contains Personal Identifiable Information (PII) of users,
which must be protected according to the recommendations of the
EU's General Data Protection Regulation (GDPR). It is essential
that users can control when and how their personal data is
collected, processed, and communicated by embedded systems. <br>
</p>
<p>It should come as no surprise that privacy has been acknowledged
as an important new dimension in nowadays embedded systems design.
Together with classic embedded design metrics like area,
performance, and power consumption, privacy is becoming paramount
too. Novel privacy protection approaches (differential privacy,
k-anonymity, homomorphic encryption to name a few) promise to
revolutionize the way users can protect their data, but it is
still unclear how these approaches can be applied in an efficient
and effective manner in embedded systems. <br>
</p>
<p>The HTESP workshop aims at fostering discussion on the newest
privacy trends in embedded systems. Submitted papers should
address cutting-edge privacy issues and solutions in the
application fields of embedded computing.</p>
<p><b>Topics of interest include:</b><br>
-Scalable, robust, and privacy enhancing Embedded Computing.<br>
-Privacy challenges of interoperable and usable Embedded
Computing.<br>
-Measurement of Embedded Computing privacy leakage.<br>
-Privacy frameworks for Embedded Computing.<br>
-Threat models and attack strategies for privacy in Embedded
Computing.<br>
-Data integrity in Embedded Computing.<br>
-Identity and access management in Embedded Computing.<br>
-Privacy enhancing and anonymization techniques in Embedded
Computing.<br>
-Trust management in Embedded Computing.<br>
-Testbeds, and experimental results.<br>
-Blockchain-based identity management and access control systems.<br>
-Differential privacy techniques in Embedded Computing.<br>
-k-anonymity techniques in Embedded Computing.<br>
-Data encryption in Embedded Computing.<br>
-Privacy-enhancing technologies.<br>
-Personal Data Governance.<br>
-Data protection in Embedded Computing.<br>
-Cybersecurity and data protection measures.<br>
-Data protection best practices across verticals<br>
-GDPR compliance in Embedded Computing<br>
<br>
The workshop will be held in <b>Linz, Austria, October 03, 2022</b>
as part of the <b>INTERNATIONAL CONFERENCE ON EMBEDDED WIRELESS
SYSTEMS AND NETWORKS (EWSN 2022)</b>.</p>
Best Regards,<br>
Michele La Manna.
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