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                Call for Papers – RED-IoT 2018

“2nd Workshop on Recent advances in secure management of data and resources
in the IoT”

                 In-conjunction with EWSN 2018
          Proceedings appear in ACM Digital Library

            February 14-16, 2018 in Madrid, Spain

https://ewsn2018.networks.imdea.org/red-iot.html

Keynote speech: Dr. Shahid Raza, director of the security lab at SICS,
Sweden.

Recent advances in the area of Internet-Connected Objects have
revolutionized the everyday lives of people and the industrial world. The
Internet of Things (IoT) has infused immense doses of "intelligence" in the
physical world making the transition towards digitising everything.
Nowadays, most devices around us are either connected to the IoT or are
about to be. Physical objects are becoming intelligent through connected
devices that are either attached to them or monitoring/controlling them. At
a larger scale, cities are becoming smarter, embracing a plethora of
technologies to enhance and improve the quality of everyday living.

The evolution of traditional wireless sensor networks towards the IoT has
introduced numerous opportunities for advanced and promising applications
for citizens and industries. Many companies have recently launched "smart
products" into the market, in every domain: home, automotive, agriculture,
water, air, environment, etc. Most of these products are quite innovative
and can be useful for improving and simplifying the lives of citizens,
assisting them to their daily activities or contributing also to improving
the municipal services and improving the quality of the environment we live.

However, most of these products fail to address even simple challenges for
security and privacy: they do not protect the data they gather and
transmit, they do not use encrypted connections, they use simplistic
credentials, etc. The IoT, though, raises significant challenges regarding
security, and privacy. Having large numbers of connected devices deployed
everywhere around us, e.g. in homes, offices, buses, on the street,
monitoring the everyday activities of citizens raises issues regarding user
privacy. Privacy issues exist not only when users are actively involved in
IoT applications e.g. when sending data from their mobile phones, but also
when they are subjects of monitoring by other devices, e.g. when they are
being monitored by cameras on the streets. Devices that offer actuation
capabilities, e.g. traffic lights, doors, windows, alarms and vehicles
allow cyber-attacks to extend effects to the real world. Current centralized
 IoT solutions raise also security and privacy issues due to the single
central point of gathering all data and mechanisms. To address this,
lately, there is a shift of interest towards distributed or decentralized
security solutions.

This workshop builds on the success of the first RED-IoT workshop
collocated with the IEEE CAMAD 2014 conference in Athens, Greece, December
2014. It aims to bring together experts from academia and industry that are
working in cross-layer issues in the areas of security, and privacy in the
IoT. The goal is to present recent results of the research community, the
industry and standardisation bodies and exchange ideas for joint research
activities in the future. The workshop welcomes original submissions in the
following topic areas:

•    Security and privacy by design architectures for IoT
•    Decentralized and distributed security architectures
•    Blockchain in the IoT
•    GDPR in the IoT
•    Intelligent, secure data processing, mining, fusion, storage, and
management, context awareness, ambient intelligence
•    Secure wireless channel and traffic models
•    Physical layer security in the IoT
•    Secure spectrum management solutions for wireless IoT communications
•    Security of sensors and actuators
•    Security and privacy in IoT applications
•    Embedded security and privacy in IoT devices
•    Forensics for IoT
•    Privacy and anonymization techniques in IoT
•    Trust management IoT architectures
•    Lightweight security solutions
•    On-device authentication, authorization and access control in IoT
•    Big data security for IoT
•    Detection and prevention of IoT-based security attacks
•    Ethics and legal considerations in IoT.


Submission Instructions and Formatting Requirements
The papers will be published as part of the conference proceedings and will
appear in the ACM Digital Library. We encourage submissions from academia
and industry alike. Full papers can have a maximum length of 6 pages (two
column format). The workshop also accepts short position papers of a
maximum length of two pages in the same format.

Pages must have 8.5" x 11" (letter) two-column format, using 10-point type
on 11-point leading, with a maximum text block of 7" wide x 9" deep with an
intercolumn spacing of .25". The page limits include figures, tables, and
references. Authors may use the LaTex template ewsn-workshops.tex provided
here.

All submitted papers will be judged through single-blind reviewing. Please
include author names and affiliations along with the title.

Submission system. Submissions will be handled through EasyChair here.
https://easychair.org/conferences/?conf=rediot2018


*Important Dates*
Paper registration: October 22, 2017  (*Final Deadline)*
Paper submissions: October 29, 2017 (*Final Deadline)*
Notification: December 1, 2017
Camera-ready: December 20, 2017
Workshop date: February 14, 2018

*Organisation*
Elias Tragos, Insight Centre for Data Analytics, NUI Galway, Ireland
George Oikonomou, Electrical and Electronic Engineering, University of
Bristol, UK

*TPC*
Vangelis Angelakis, Linköping University, Sweden
Budi Arief, University of Kent, UK
Simon Duquennoy, RISE SICS, Sweden
Xenofon Fafoutis, University of Bristol, UK
Alexandros Fragkiadakis, FORTH-ICS, Greece
Julio Hernandez-Castro, University of Kent, UK
Aqeel Kazmi, Insight Centre for Data Analytics, NUI Galway, Ireland
Rémy Leone, INRIA, France
George Moldovan, Siemens, Romania
Henrich Pöhls, University of Passau, Germany
James Pope, University of Bristol, UK
Dr Martin Serrano, Insight Centre for Data Analytics, NUI Galway, Ireland
Shahid Raza, RISE SICS, Sweden
Nicolas Tsiftes, RISE SICS, Sweden
Pete Woznowski, University of Bristol, UK


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