IEEE Workshop on the Internet of Safe Things
Co-located with Oakland 2019 »
May 20-22, 2019 - San Francisco, California, USA
The Internet of Things (IoT) has become increasingly popular and innovative. With the rise of connected devices, we have an opportunity to significantly improve the safety of legacy systems. For instance, insights from data across systems can be exploited to reduce accidents, improve air quality and support disaster events. IoT based cyber-physical systems (CPS) also bring new risks that arise due to the unexpected interaction between systems and the larger number of attack vectors on these systems. These safety risks can arise in the context of use of medical devices, smart home appliance control, smart car design or conflicts in policy execution at a societal scale.
The Internet of Safe Things workshop seeks to bring together researchers to create solutions for the development of safe cyber-physical systems. As safety is inherently linked with the security and privacy of a system, we also seek contributions in these areas that address safety concerns. We seek to develop a community that systematically dissects the vulnerabilities and risks exposed by these emerging CPSes, and creates tools, algorithms, frameworks, and systems that help in the development of safe systems.
We seek contributions across domains - autonomous vehicles, smart homes, medical devices, smart grid; and across disciplines - systems, control, human-computer interaction, security, reliability, machine learning, and verification.
Abstract Submission Deadline: 01/23/2019
Paper/Poster/Demo Submission Deadline: 01/30/2019
Acceptance Notifications to Authors: 02/20/2019
Publication-ready Paper Submission Deadline: 03/11/2019
Call for Papers
As the traditionally segregated systems are brought online for next-generation connected applications, we have an opportunity to significantly improve the safety of legacy systems. For instance, insights from data across systems can be exploited to reduce accidents, improve air quality and support disaster events. Cyber-physical systems (CPS) also bring new risks that arise due to the unexpected interaction between systems. These safety risks arise because of information that distracts users while driving, software errors in medical devices, corner cases in data-driven control, compromised sensors in drones or conflicts in societal policies.
Accordingly, the Internet of Safe Things workshop (or SafeThings, for brevity) seeks to bring researchers and practitioners that are actively exploring system design, modeling, verification, authentication approaches to provide safety guarantees in the Internet of Things (IoT). The workshop welcomes contributions that integrate hardware and software systems provided by disparate vendors, particularly those that have humans in the loop. As safety is inherently linked with the security and privacy, we also seek contributions in these areas that address safety concerns. With the SafeThings workshop, we seek to develop a community that systematically dissects the vulnerabilities and risks exposed by these emerging CPSes, and create tools, algorithms, frameworks, and systems that help in the development of safe systems.
SafeThings workshop covers safety topics as it relates to an individual’s health (physical, mental), the society (air pollution, toxicity, disaster events), or the environment (species preservation, global warming, oil spills). The workshop considers safety from a human perspective, and thus, does not include topics such as thread safety or memory safety in its scope.
Our workshop will cover, but not limit itself to, the following subject categories:
- Adversarial machine learning and testing of IoT/CPS systems
- Authentication in IoT/CPS settings
- Compliance with legal, health, and environmental policies
- Conflict resolution between IoT applications
- Integration of hardware and software systems
- Managing device lifecycle (e.g., secure software updates and security of legacy devices)
- Privacy challenges in IoT/CPS settings
- Privacy preserving data sharing and analysis
- Resiliency against attacks and faults
- Safety in human-in-the-loop systems
- Secure connectivity in IoT
- Secure updates
- Support for IoT development - debugging tools, emulators, testbeds
- Usable security and privacy for IoT platforms
- Verification of safety in IoT platforms
Our workshop will cover, but not limit itself to, the following domains:
- Autonomous vehicles and transportation infrastructure
- Medical CPS and public health
- Smart buildings, smart grid, and smart cities
Call for Posters and Demos
If you would like to share a provocative opinion, an interesting preliminary work, or a cool idea that will spark discussion about IoT safety, the poster and demo section is a perfect venue to introduce new or ongoing work. Poster and demo presenters will have the opportunity to discuss their work, get exposure, and receive feedback from attendees.
Submitted papers must be in English, unpublished, and must not be currently under review for any other publication. Submissions must follow the official IEEE Conference Proceedings format. Full papers must be at most 6 single-spaced, double column 8.5” x 11” pages. Posters and Demos must be at most 1 single-spaced, double column 8.5” x 11” page. All figures, references, and appendices must fit within these limits. Papers that do not meet the size and formatting requirements will not be reviewed. All papers must be in Adobe Portable Document Format (PDF) and submitted through the web submission form via EasyChair (submission link below).
Full Papers: 6 pages
Posters and Demos: 1 page
Submission link: https://easychair.org/conferences/?conf=safethings2019
All accepted submissions will be presented at the workshop and included in the IEEE workshop proceedings.
One author of each accepted paper is required to attend the workshop and present the paper for it to be included in the proceedings.
Yuan Tian (University of Virginia)
Program Committee Chairs
Atul Prakash (University of Michigan)
Yasser Shoukry (University of Maryland, College Park)
Meiyi Ma (University of Virginia)
Tu Le (University of Virginia)
Technical Program Committee
Gail-Joon Ahn (Arizona State University)
Gedare Bloom (Howard University)
Adam Doupé (Arizona State University)
Kassem Fawaz (University of Wisconsin, Madison)
Earlence Fernandes (University of Washington)
Jun Han (National University of Singapore)
Richard Han (University of Colorado, Boulder)
Byoungyoung Lee (Seoul National University)
Uichin Lee (Korea Advanced Institute of Science and Technology)
Insup Lee (University of Pennsylvania)
Joseph Maguire (University of Glasgow)
Shrirang Mare (University of Washington)
Patrick McDaniel (Pennsylvania State University)
Shaunak Mishra (Yahoo! Research)
Miroslav Pajic (Duke University)
Amir Rahmati (Stony Brook University)
Sara Rampazzi (University of Michigan)
Aanjhan Ranganathan (Northeastern University)
Henrik Sandberg (KTH Royal Institute of Technology)
Huasong Shan (JD.com American Technologies Corporation)
Paulo Tabuada (University of California, Los Angeles)
Blase Ur (University of Chicago)
Joao P. Vilela (University of Coimbra)
Saman Zonouz (Rutgers University)
Bharathan Balaji (Amazon)
Robin Kravets (University of Illinois, Urbana Champaign)
Mani Srivastava (University of California, Los Angeles)
John A. Stankovic (University of Virginia)
Patrick Tague (Carnegie Mellon University)