Visible to the public IoTSec 2018Conflict Detection Enabled

1st International Workshop on Security and Privacy for the Internet-of-Things (IoTSec)

to be co-located with the 3rd ACM/IEEE International Conference on Internet of Things Design & Implementation (IoTDI) 2018

The Internet-of-Things (IoT) has taken off in a big way and finds itself embedded in our daily lives - from smart home applications to process control monitoring in manufacturing systems, wearables to healthcare, public utilities to military applications, to name just a few. The surge in interest in smart cities increases the scope and reach of IoT-style applications in a significant manner. These applications generate huge volumes of data, have access to personal and confidential information, monitor and control critical processes and are often accessed/controlled via public networks such as the Internet. Hence, they are prime targets for malicious entities and have little to no security mechanisms in place. In addition, most users of such devices/systems are not cognizant of the privacy issues - leakage of personal information for instance, or external entities being able to retrace/recreate our activities from public data obtained through the use of IoT devices/services. On the other hand, onerous security and privacy mechanisms may render these systems useless for most consumers. Hence, there is a need to develop innovative techniques to improve protections for such systems. This is particularly challenging since many IoT systems are often limited in terms of computation power, memory, battery life, bandwidth, etc.

Hence, the goal of IoTSec will be to bring together experts in various areas (security, privacy, embedded systems, sensor networks, etc. along with domains experts from medicine, manufacturing systems, mobile devices and so on) to study and develop security and (usable) privacy mechanisms for next generation IoT systems.

Areas of Interest

The areas of interest for the workshop includes, but is not limited to, the following:

  • Classification of the threats faced by IoT systems
  • Problems with privacy of data generated by IoT devices/systems
  • Security and privacy solutions and frameworks for (a) legacy IoT systems and (b) future IoT services
  • Novel architectures that improve the security and privacy of such devices
  • Understanding of social issues that increase the adoption of privacy mechanisms in IoT devices
  • Communication protocols & architectures that improve security and privacy
  • Lightweight cryptography algorithms for use in IoT systems
  • Privacy-preserving computation models that can run on limited resources available to IoT devices
  • Machine learning for security of IoT devices/services
  • Modeling, verification and formal methods for security methods for the IoT domain
  • Security and privacy of the cloud infrastructure for IoT


Sibin Mohan, University of Illinois at Urbana-Champaign (UIUC)
Elaine Shi, Cornell University

Technical Program Committee

Sean Smith, Dartmouth College
Gedare Bloom, Howard University
Gabriela Ciocarlie, SRI International
Miroslav Pajic, Duke University
Bryan Ward, MIT Lincoln Laboratory
Dawn Schrader, Cornell University
Daniel Mosse, University of Pittsburgh
Mu Zhang, Cornell University
Siddharth Garg, NYU
Rakesh Kumar, University of Illinois at Urbana-Champaign
Rakesh Bobba, Oregon State University
Ramya Raghavendra, IBM Research
Man-Ki Yoon, Yale University
Henry Duwe, Iowa State University
Negin Salajageh, Visa Research
Adam Bates, University of Illinois at Urbana-Champaign
Bo Li, University of California, Berkeley
Ing-Ray Chen, Virginia Tech

Web Chair

Monowar Hasan, University of Illinois at Urbana-Champaign

Event Details
Orlando, FL