Hybrid Conferencee

International Conference on Cyber-Physical Systems and IoT Security (ICCPSIS - 27)

20th - 21st April 2027 | Las Vegas, USA
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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Las Vegas conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Las Vegas, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Las Vegas."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Advancements in Cyber-Physical Systems

This track focuses on the latest developments in cyber-physical systems, emphasizing their integration with IoT technologies. Researchers are encouraged to present innovative solutions that enhance system reliability and performance.

Track 02

IoT Security Protocols and Frameworks

This session aims to explore novel security protocols and frameworks designed specifically for IoT environments. Contributions should address vulnerabilities and propose robust mechanisms for safeguarding data and devices.

Track 03

Predictive Modeling in Cyber-Physical Systems

This track delves into the application of predictive modeling techniques in enhancing the functionality of cyber-physical systems. Papers should highlight methodologies that improve decision-making and operational efficiency.

Track 04

Machine Learning Techniques for Anomaly Detection

This session invites research on machine learning approaches for detecting anomalies in IoT and cyber-physical systems. Submissions should demonstrate the effectiveness of supervised and unsupervised learning methods in real-world applications.

Track 05

Feature Extraction and Data Analysis

This track is dedicated to innovative techniques in feature extraction and data analysis within the context of IoT and cyber-physical systems. Researchers are encouraged to present novel algorithms that enhance data interpretation and system insights.

Track 06

Workflow Automation in Industrial IoT

This session focuses on the automation of workflows in industrial IoT settings, showcasing advancements that streamline processes and improve productivity. Papers should discuss practical implementations and their impact on operational efficiency.

Track 07

System Monitoring and Predictive Maintenance

This track examines strategies for system monitoring and predictive maintenance in cyber-physical systems. Contributions should highlight methodologies that reduce downtime and enhance system longevity through proactive measures.

Track 08

Model Evaluation and Performance Metrics

This session addresses the critical aspects of model evaluation and performance metrics in machine learning applications for IoT. Researchers are invited to propose frameworks that ensure the reliability and validity of predictive models.

Track 09

Threat Detection and Risk Assessment

This track focuses on methodologies for threat detection and risk assessment in cyber-physical systems. Papers should explore innovative approaches to identifying vulnerabilities and mitigating risks in IoT environments.

Track 10

Resource Allocation in Smart Systems

This session investigates resource allocation strategies in smart systems, emphasizing efficiency and optimization. Contributions should demonstrate how advanced algorithms can enhance resource management in IoT applications.

Track 11

Edge Computing for Enhanced IoT Security

This track explores the role of edge computing in improving IoT security measures. Researchers are encouraged to present solutions that leverage edge architecture to enhance data processing and security at the device level.