Von: Brian Jalaian <bran@VT.EDU>
Gesendet: 23. Januar 2019 06:46:28 MEZ
An: tccc-announce@COMSOC.ORG
Betreff: [TCCC-ANNOUNCE] CFP: INFOCOM 2019 WKSHPS - Internet of Things for Adversarial Environment

Dear Colleagues, 

The First International Workshop on Internet of Things for Adversarial Environments (IEEE IoTAE) will be held on April 29, 2019, in Paris, France (with IEEE INFOCOM 2019). The workshop website is available at https://infocom2019.ieee-infocom.org/workshop-internet-things-adversarial-environments
Scope and Topics of Interest
This workshop solicits original work that advances the science of dynamically composing, operating, adapting, and assessing future intelligent, mission-critical IoT applications that operate in harsh, unfriendly, or adversarial environments. The motivating application examples include disaster response, first-responder support, rescue management, extreme environmental monitoring (e.g., monitoring volcanoes, nuclear plants, bio-chemical incidents, or contagious disease outbreaks), and systems that, by their very nature, are subject to frequent adversarial action such as security/anti-theft systems, intrusion detection systems, anti-jamming systems, and defense systems. A common thread across the above systems is the need for high resilience in the face of a broad array of threats, human or environmental. By soliciting original research on attaining resilient and dependable operation in such a broad spectrum of harsh IoT application contexts, the workshop aims to help the research community collectively distill fundamental insights, key concepts, best practices, and analytical foundations to support the next generation of IoT services for mission-critical applications in adversarial environments. Challenges such as heterogeneity, scale, and fast-evolving dynamics are of great interest. Contributions may include but are not limited to, attainment of resilient performance-assurances in the face of threats, adaptation to meet goals despite perturbations and model uncertainties, accurate learning in adversarial conditions, adversarial machine learning, formal verification of machine learning, optimization under uncertainty, and resilient cyber-physical-human information fusion of contaminated inputs.
Submission Instructions
Submissions should be of 6 pages, including title, author list, abstract, all figures, tables, references, and appendices. Final papers can be up to 8 pages, subject to 2-page overlength charge (2 extra pages w/ $100 per extra page). The format of the papers must be the same as the main conference.

Manuscripts must be limited to 6 pages in IEEE 8.5x11 format. The manuscripts should be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and be submitted as PDF files (formatted for 8.5x11-inch paper). Accepted papers will be published in the combined INFOCOM 2018 Workshop proceedings and will be submitted to IEEE Xplore. Submitted papers may not have been previously published in or under consideration for publication in another journal or conference. The reviews will be single blind. Manuscripts should be submitted as PDF files via EDAS.
Important Dates
Paper submission: Jan 24, 2018
Notification: Feb 22, 2018
Final version upload: March 10, 2019
Website
https://infocom2019.ieee-infocom.org/workshop-internet-things-adversarial-environments
Submission Link
https://www.edas.info/N25588
Workshop Chairs
Brian Jalaian (U.S. Army Research Laboratory, USA)
Tarek Abdelzaher (University of Illinois Urbana Champaign, USA)
Workshop Technical Program Committee
Ramesh Govindan, University of South California
I-Hong Hou, Texas A&M
Heesung Kwon, U.S. Army Research Laboratory
Mehul Motani, National University of Singapore
Archan Misra, Singapore Management University
Prashant Shenoy, University of Massachusetts, Amherst
Stephen Russell, U.S. Army Research Laboratory
Niranjan Suri, U.S. Army Research Laboratory
Hooman Samani, National Taipei University
Paulo Tabuada, University of California Los Angeles
Gunjan Verma, U.S. Army Research Laboratory
Mirko Viroli, University of Bologna, Italy
James Weimer, University of Pennsylvania
Xu Yuan, University of Louisiana


Best regards,
Brian Jalaian and Tarek Abdelzaher
IEEE Communications Society Tech. Committee on Computer Communications
http://committees.comsoc.org/tccc/
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