Connectionists: CFP - Deep Learning for IoT Security - Frontiers in Big Data

[Ramesh Paudel]

Dear All,

We are pleased to be launching a new Research Topic, Deep Learning for IoT
Security.
We’re putting together a group of top researchers whose work we’d like to
feature in this collection, and I thought you would be interested in
participating.

Hosted by Frontiers in Big Data, this is a unique opportunity for us to
collaborate and to showcase your research. This Research Topic focuses on
recent advances in research and development in securing the IoT landscape
using deep learning. The objective of this collection is to bring together
researchers from both deep learning and cybersecurity domains to provide a
venue to share ideas and foster knowledge on IoT security challenges and
solutions.

Papers can be from any of the following areas, including but not limited
to:
● Vehicular ad-hoc network, smart home, healthcare, and smart meter
security
● Real-time/anti-adversarial/efficient deep learning security
protocols/solutions
● Intrusion detection and prevention
● Malware detection
● Data security and privacy
● Anomaly detection in authentication, authorization, and data requests
● Adversarial machine learning and the robustness ofAI models against
malicious actions
● Interpretability and explainability of deep learning models
● Privacy-preserving deep learning algorithms
● Trustworthy deep learning
● Deep graph learning
● Fog-based IoT security
● Sensor network security
● Cloud-based IoT security


Please let us know if you wish to participate:
https://research-topic-management-app.frontiersin.org/manage/contributor-confirms-participation?activationkey=b87fde81-68d2-4b9f-9eb4-a6adacd1af1d

*Submission deadline*: *31 January 2022*

All submitted articles are peer reviewed.

Article processing charges are applied to all published articles.
 • See if your institution has a payment plan with us. (see here:
https://www.frontiersin.org/about/institutional-membership )
 • Find out about applying for fee support (see here
https://www.frontiersin.org/about/publishing-fees#feesupport )

Please let us know if you don’t wish to participate this time:
https://research-topic-management-app.frontiersin.org/manage/contributor-declines-participation?activationkey=b87fde81-68d2-4b9f-9eb4-a6adacd1af1d

*About Frontiers in Big Data*
Leading research exploring how big data can help address global challenges.
The journal is led by Field Chief Editor Huan Liu from Arizona State
University. Frontiers is the world's third most-cited publisher with more
than 2.2 million citations and 1.4 billion views and downloads from global
research and innovation hubs.

*About Research Topics*
Frontiers’ Research Topics multidisciplinary article collections bringing
together leading experts in the field. Designed for impact, these
collections are highly cited and widely read by researchers across the
world.
 Find out more about Research Topics (see
https://www.frontiersin.org/about/research-topics).

Kind Regards,

Ramesh Paudel, Ph.D.
Topic Editor,
Cybersecurity and Privacy Section, Frontiers in Big Data
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