[hpc-announce] Call for Research Paper Submission and Undergrad/K-12 Research Competition at ASTRIDE2023/ICDE2023

Shantanu Sharma toshantanusharma at gmail.com
Thu Dec 22 20:52:50 CST 2022

[Apologies if you got multiple copies of this email.]

Call for Research *Paper Submission and Undergrad/K-12 Research Competition*
at ASTRIDE2023/ICDE2023

Call for research papers

1st Private, Secure, and Trustworthy IoT Data Management Workshop (ASTRIDE
Co-Located with IEEE International Conference on Data Engineering (ICDE
Anaheim, CA, USA. April 3 2023

Important dates
Paper submission deadline - January 12, 2023 (11:59PM PST)
Notification deadline - February 1, 2023
Camera ready deadline - February 15, 2023

The global Internet of Things (IoT) market size is projected to reach 2.5
trillion US Dollars by 2029 with billions of smart devices connected to the
Internet by then. The emerging Internet of Things (IoT) revolution promises
to impact almost every aspect of modern society. However, the existing
behavior of IoT devices and systems contradicts the increasing expectations
of privacy with more awareness and new legislation to protect individuals'
privacy emerging worldwide (such as Europe’s GDPR, California’s CCPA,
Brazil’s LGPD, and India’s PDPB). The need for privacy-aware Internet of
Things (IoT) systems has been widely accepted.
Central to IoT applications is the data management technology that can
represent, store, transform, and query sensor data. Given the importance of
IoT, the data management community has been focusing on the special
requirements of IoT systems due to the volume and high speeds of IoT data).
On the other hand, the privacy and security community has studied potential
attacks and vulnerabilities in IoT applications and systems and explored
their corresponding detection and defense strategies.
The ASTRIDE Workshop, held in conjunction with the IEEE ICDE conference,
seeks contributions to solving challenges in private, secure, and
trustworthy IoT data management.
Topics of interest include, but are not limited to:
·       Secure hardware for IoT data management
·       Model-based security systems engineering
·       Understanding dependencies among security, reliability,and safety
in CPS/IoT
·       High-assurance security architectures
·       Intrusion and anomaly detection
·       Secure and privacy-preserving sensor data outsourcing
·       Privacy-by-design of IoT data management systems
·       Differentially private computing
·       Privacy-preserving machine learning and federated learning and
·       Privacy regulations (GDPR, CCPA, CalOPPA) and their impact on IoT
·       Privacy-Preserving Data Analysis in IoT Systems
·       Inference control and access control policies
·       Authentication
·       Blockchain-based systems
·       Identity and access management
·       Security, privacy, and utility metrics
·       Application/use-cases in healthcare, environment, transportation,
energy, etc

We encourage researchers from industry and academia to submit original
works. Submitted papers must represent original material that is not
currently under review in any other conference or journal, and has not been
previously published.
All paper submissions should be a maximum length of six (6) printed pages
in IEEE format without references. Two (2) additional pages will be allowed
in the camera ready submission to incorporate comments from the reviewers.
Accepted papers will be selected for oral presentation based on peer
review. Submissions are not double-blind; the submitted paper should
include author names and affiliations.
For more details, see the workshop website: https://astride-2023.github.io/.


Important dates
Submission deadline - January 25, 2023 (11:59PM PST)
Notification deadline - February 8, 2023

The emerging Internet of Things (IoT) revolution promises to impact almost
every aspect of modern society. However, the existing behavior of IoT
devices and systems brings in challenges of privacy with more awareness and
new legislation to protect individuals' privacy emerging worldwide. The
ASTRIDE 2023 Workshop, held in conjunction with ICDE 2023, seeks to help
bridge the gap between two research communities ---- Security and Privacy
Researchers, IoT Data management Researchers.

The ASTRIDE workshop is hosting a research competition for Undergrad/K-12
students with prizes to the best contributions. The Undergrad/K-12 Research
Competition is a forum for undergraduate and K-12 students to showcase
their research, exchange ideas, and receive feedback from senior
researchers in the field. The Undergrad/K-12 Research Competition has the
following goals for junior scholars:

·       Share their research ideas and prototypes at the ASTRIDE/ICDE forum
to gain visibility to their work.
·       Meet and interact with attendees at both ASTRIDE and ICDE, share
ideas and gain insights about what research in the data management /
privacy/security / IoT communities.
·       Receive  feedback  from senior members of industry and academia
about their research and presentation.
·       Be recognized and rewarded for outstanding undergrad/K-12 student

Eligibility and Guidelines:

·       While a group of researchers (including students and faculty) can
work together on a project submitted to the competition, the leading author
of each research contribution must be a student (undergraduate or K-12).
·       The competition has two categories, one for undergraduate lead
research and another for K-12 lead research. Research completed while the
student was an undergraduate/K-12 may be submitted to the
undergraduate/K-12 category even if the student is now a first-year
graduate/undergraduate student.
·       Three winners will be selected in each category - undergraduate and
K-12. The top three winners in each category will receive prizes of US
$500, $300, and $200, respectively. Winners will be recognized during the
closing session of the ASTRIDE workshop.

For more details, see the workshop website: https://astride-2023.github.io/.


·       Xi He (University of Waterloo)
·       Primal Pappachan (Penn State University)
·       Shantanu Sharma (New Jersey Institute of Technology)
·       Roberto Yus (University of Maryland, Baltimore County)

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