9th International Workshop on Security, Privacy, Trust, and Machine Learning for IoT
The 9th International Workshop on Security, Privacy, Trust, and Machine Learning for Internet of Things (IoTSPT-ML 2019) will be held in conjunction with the The 28th International Conference on Computer Communications and Networks (ICCCN 2019), in Valencia, Spain. All papers presented in IoTSPT-ML 2019 will be published in the workshop proceedings.
Outstanding papers will be invited to extend to full version for a SCI(E)-indexed journal, which is currently under contact.
Motivation for the Workshop
Experts predict that there will be 3-4 billions of connected devices in use by consumers by the end of this year. Although these devices in smart TVs, microwave ovens, thermostats, etc., will probably make our lives more energy and cost efficient, they can also threaten the security of our homes. This is because the manufacturers of these devices are primarily interested in functionality and do not focus on securing the device against cyber-attacks, protecting the privacy of consumer information on the device, securing the communications from/to the device, etc. The massive scale and the variety of these devices also make it difficult for the manufacturers to design and implement manageable security and privacy solutions.
Another challenge in the IoT world is the continuous collection of data from the devices which is analyzed to make conclusions about the environment being monitored by the IoT devices. The data analyses is also crucial to maintaining the security and privacy of the data being collected from the devices. The massive scale of next-generation IoT systems makes the data collection, analyses, transport, and fusion of the results at the system level seem daunting.
This workshop aims to promote discussions of research and relevant activities in the models and design of secure, privacy-preserving, or trust architectures, data analyses and fusion platforms, protocols, algorithms, services, and applications for next generation IoT systems. We especially encourage security and privacy solutions that employ innovative machine learning techniques to tackle the issues of data volume and variety problems that are systemic in IoT platforms.
We plan to seek previously unpublished work in theoretical or experimental research, or work in-progress on topics including, but not limited to, the following:
- Architectures and protocols for scalable, secure, robust and privacy enhancing IoT
- Security, privacy, and trust issues in IoT
- Security and privacy frameworks for IoT at home
- Threat and attack models in IoT
- Machine Learning for IoT
- Intrusion and malware detection for IoT
- System and data integrity
- End-to-end system security models for IoT
- Deep Learning for IoT
- Cryptographic approaches for security and privacy in IoT
- Machine learning for deep packet inspection for IoT
- Machine learning to analyze cryptographic protocols for IoT
- Wireless security protocols for IoT
The organizers of the workshop will invite authors of outstanding papers to submit extended versions of their papers for publication in a Special issue being organized in the journal Internet of Things, Elsevier, with a publication date of early 2020.
Papers submission: March 15, 2019
Notification of acceptance: April 28, 2019 (Hard Deadline)
Camera-ready paper due: May 10, 2019 (Hard Deadline)
Submission and Publication
Authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the workshop. Submissions should include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address(es) of the corresponding author. Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via EasyChair (https://easychair.org/conferences/?conf=icccn2019) under “9th International Workshop on Security, Privacy, Trust, and Machine Learning for IoT” as PDF files (formatted for 8.5×11-inch paper). The manuscripts should be no longer than 6 pages. Two additional page is permitted if the authors are willing to pay an over-length charge at the time of publication (manuscripts should not exceed 8 pages).
Submitted papers cannot have been previously published in or be under consideration for publication in another journal or conference. The workshop Program Committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address(es). All authors of a paper must be registered in the RIGHT order via EasyChair at the SUBMISSION TIME and cannot be changed after the submission due time at EasyChair. The paper title and author name list/order cannot be changed during the final camera-ready submission.
Outstanding papers will be invited to extend to full version for a prestigious journal, Internet of Things, Elsevier, targeting publication in early 2020. When uploading a camera-ready at IEEE, note that the paper title, author names/affiliation and order must be IDENTICAL to the original submission for peer reviewing. No title change, author addition or removal is allowed.
A paper must be registered by an author in the full rate. It must be presented by one of registered authors in the venue. Camera-ready and registration due date is FIRM. Check ICCCN homepage to find detailed instructions. Please try to complete the process as early as possible in order to avoid the rush hour, giving you time to deal with unexpected but possible issues/delay.
Parvathi Chundi, University of Nebraska at Omaha
Abhishek Parakh, University of Nebraska at Omaha
Technical Program Committee
Carol Lushbough, University of South Dakota
Pei-Chi Huang, University of Nebraska at Omaha
Wilson Rivera-Gallego, University of Puerto Rico at Mayaguez
Zhiwei Wang, Nanjing University of Posts and Telecommunications
Jian Shi, University of Houston
Giancarlo Fortino, University of Calabria
Schahram Dustdar, Vienna University of Technology
Nabil Benamar, Moulay Ismail University
Nik Besis, Edge Hill University
Dominique Genoud, Hesso//Wallis - IIG
Paolo Bellavista, University of Bologna
Shankarachary Ragi, South Dakota School of Mines and Tech
Myoungkyu Song, University of Nebraska at Omaha
Eyhab Al-Masri, University of Washington
Xinxin Fan, IoTeX
Alexandros Fragkiadakis, Foundation for Research and Technology - Hellas, Institute of Computer Science
Constantinos Marios Angelopoulos, Bournemouth University
Jitender Grover, International Institute of Information Technology - Hyderabad (IIIT - Hyderabad)
Salvatore Distefano, University of Messina
Razvan Stanica, Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Dimosthenis Ioannidis, The Centre for Research and Technology, Hellas Information Technologies Institute
Gyu Myoung Lee, Liverpool John Moores University
Yunsheng Wang, Kettering University
Mengchu Zhou, New Jersey Institute of Technology
Jorge Sá Silva, University of Coimbra
Grace Lewis, Carnegie Mellon Software Engineering Institute
Carlos Kamienski, Federal University of the ABC
Sergio Saponara, University of Pisa
Isam Ishaq, Al-Quds University
Mihai Lazarescu, Politecnico di Torino
Kumar Yelamarthi, Central Michigan University
Klaus Moessner, University of Surrey
Ahmed Khattab, Cairo University
Zeljko Zilic, McGill University
Francesco Palmieri, University of Salerno, Italy
Shashikant Shantilal Patil, SVKMs Narsee Monjee Institute of Management Studies, Mumbai
Juan Antonio Martinez Navarro, University of Murcia
Rahul Kher, G H Patel College of Engineering & Technology
Rogério de Lemos, University of Kent
Song Houbling, Embry-Riddle Aeronautical University
Martin Serrano, National University of Ireland Galway(NUIG - DERI)
Etieene Gnimpieba, University of South Dakota
Francesco Longo, University of Messina - Department of Mathematics