Conference Information

SAM IoT 2020: Conference on Security, Artificial Intelligence, and Modeling for the Next Generation Internet of Things

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Submission Date:
2020-08-05 Extended
Notification Date:
2020-08-21
Conference Date:
2020-09-17
Location:
Online
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SAM IoT
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Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,165 of 5,694 conferences · Top 74%

#260 of 363 in Security & Privacy #540 of 741 in Artificial Intelligence & Machine Learning #651 of 865 in Networks & Communications

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-09

Call For Papers

SAM IoT 2020 (Conference on Security, Artificial Intelligence, and Modeling for the Next Generation Internet of Things) is an academic conference held in Online on 2020-09-17. The paper submission deadline is 2020-08-05 (extended). Acceptance notifications are sent on 2020-08-21.

SAM IoT is the first virtual Eclipse Conference on Security, Artificial Intelligence, and Modeling for the next generation Internet of Things Background The adoption of the Internet of Things (IoT) is drastically increasing in every application domain, contributing to the rapid digitalization of contemporary society. Current IoT scenarios are characterized by constantly increasing demands in terms of non-functional requirements, from low latency to high reliability, dependability, and dynamic resources allocation. This paradigm shift, also considered as the next evolutionary phase of IoT, is expected to create numerous opportunities for the technology market supporting applications in multiple areas, i.e. Smart Factories, Smart Cities, Critical Infrastructures, Cooperative Service Robotics, etc. To cope with these demanding requirements, a multitude of novel technologies - such as Edge Computing, Artificial Intelligence and Analytics, Digital Twin, as well as Security, Privacy and Trust schemes – are being investigated in order to be adopted in current IoT architectures standards, identifying efficient integration schemes with proper design patterns. Hence, designing and managing the next generation of IoT-based systems is set to become even more complex. Call for Papers The Eclipse SAM IoT conference will bring together industry experts and researchers working on the next generation IoT, especially focussing on Security and Privacy, Artificial Intelligence, and Modelling. You will be invited to present your results to participants from the research community, industry and standardisation bodies and to exchange ideas for future joint research activities. We welcome all submissions and do not require projects to be associated with the Eclipse Foundation or its projects. The extended date for submissions is August 5, 2020. Selected papers will be published under the Creative Commons License 4.0 on ceur-ws.org. Technical topics of interest Security and Privacy for IoT IoT security protocols and architectures Anonymization techniques Trust and identity management Privacy data protection Secure discovery and authentication Access control for shared data and IoT devices  Identification, assessment, and mitigation of cyber-physical threats sam-iot-cfp.pdf Challenges, Use Cases, and Solutions for Industry and Society Artificial Intelligence for IoT Intelligent distributed architectures and infrastructures Autonomic Computing Distributed intelligence and multi- agent systems Context-Awareness and Location- Awareness  Machine Learning and Deep Learning Approaches   Adaptive Anomaly Detection and Predictive Maintenance AI, deep learning for predictive security Challenges, Use Cases, and Solutions for Industry and Society Modelling for IoT Modelling Languages and Tools Verification & Validation approaches Modelling for IoT Devices, Services, and Robotics Security & Privacy modelling Statistical models checking Modelling adaptive IoT systems Runtime models Challenges, Use Cases, and Solutions  for Industry and Society
Last updated by Susan Iwai on

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