[agents] CFP Special Session on “Emerging Technologies and Artificial Intelligence for Secure IoT-e

[Sushil Singh]

[Apologies if you receive multiple copies of this CFP]

*The Global AI Summit 2024*

*International Conference on Artificial Intelligence and Emerging
Technology*

*4th – 6th September 2024*
Call for Papers (CFP)
https://cmt3.research.microsoft.com/AISUMMIT2024/Track/17/Submission/Create
Special Session on “Emerging Technologies and Artificial Intelligence for
Secure IoT-enabled Computer Vision Applications”

    In contemporary years, the convergence of Artificial Intelligence (AI)
and Emerging Technologies such as Blockchain, Artificial Intelligence (AI),
Digital Twin (DT), and the Internet of Things (IoT) has catalyzed rapid
advancements across various advanced applications. One promising
application area is Computer Vision (CV), where AI-powered systems
investigate visual data from IoT-enabled sensor devices to extract
beneficial insights. However, as these technologies proliferate, ensuring
the security and privacy of IoT-enabled Computer Vision Applications
becomes essential. One of the primary objectives of this special session is
to explore innovative solutions and strategies to ensure the security,
privacy, and trustworthiness of Computer Vision Approaches (CVA) deployed
in IoT Network Environments. Moreover, incorporating IoT-enabled Computer
Vision Applications security measures within these technologies, including
Blockchain, Federated Learning (FL), Digital Twin (DT), Artificial
Intelligence (AI), and others, is imperative to safeguard sensitive vision
data, maintain privacy preservation, and mitigate cybersecurity threats and
facilitate the development of robust, trustworthy, and privacy-preserving
computer vision applications. The motivation behind a special issue on
“Emerging Technologies and Artificial Intelligence for Secure IoT-enabled
Computer Vision Applications” derives from the urgent need to explore and
comprehend the multifaceted implications of these cutting-edge innovations.
With IoT sensor devices permeating various aspects of Computer Vision, from
wearable IoT networks, the potential attack surface for cyber threats
expands exponentially. By delving into this realm, we strive to foster a
deeper acquaintance of how emerging technologies such as Artificial
Intelligence (AI), Blockchain, and Advanced Encryption Algorithms (AEA) can
be addressed to create secure, efficient, and IoT-enabled Computer Vision
Applications paradigms. Therefore, this special session explores innovative
solutions, advanced technologies, and best practices to fortify Secure
IoT-enabled Computer Vision Applications (SICVA).

    This special session explores the latest advancements in Emerging
Technologies and Artificial Intelligence for Secure IoT-enabled Computer
Vision Applications (SICVA). SI's main objective is to serve as a
comprehensive resource for researchers, practitioners, and policymakers
striving to navigate the complex landscape of Secure IoT-enabled Computer
Vision Applications. By combining cutting-edge research and practical
insights, we seek to advance knowledge and promote the adoption of secure
and resilient IoT technologies that prioritize vision well-being and data
integrity. This special session explores the intersection of AI, emerging
technologies, and IoT-enabled Computer Vision Applications (SICVA),
explicitly focusing on security and privacy challenges and solutions.



Topics of interest include, but are not limited to, the following:

·       Machine Learning and AI for Secure IoT-enabled Computer Vision
Applications

·       Privacy-preserving Sharing Mechanisms for IoT-enabled Computer
Vision Applications

·       Threat Analysis in IoT-enabled Computer Vision Applications

·       Cybersecurity Measures for IoT-enabled Computer Vision Applications

·       Edge Computing Security for IoT-enabled Computer Vision Applications

·       Blockchain-based Secure Scheme for IoT-enabled Computer Vision
Applications

·       Digital Twin-based Virtual Environment for IoT-enabled Computer
Vision Application

·       Secure communication protocols for IoT devices transmitting visual
data.


Manuscript Submission Process: Open your Microsoft CMT Account Login,
choose the AISUMMIT2024 conference, select the Session “Emerging
Technologies and Artificial Intelligence for Secure IoT-enabled Computer
Vision Applications (SICVA)”, and submit the manuscript or choose the
following link for the submission manuscript
https://cmt3.research.microsoft.com/AISUMMIT2024/Track/17/Submission/Create
Guest Session Chairs


*Dr. Sushil Kumar Singh**, Marwadi University, Rajkot, Gujarat, India**, *
sushilkumar.singh at marwadieducation.edu.in

*Dr. Himanshu Gupta,  **Marwadi University, Rajkot, Gujarat, India, *
himanshu.gupta at marwadieducation.edu.in

*Dr. Dinesh Kumar, **Bennett University, Greater Noida, U.P., India, *
dineshkr at ieee.org

*Dr. Rajesh Kumar Shrivastava**, Bennett University, Greater Noida, U.P.,
India, *rajesh.shrivastava at bennett.edu.in

*Er. Habib Khan, **Gachon University, Seoul, South Korea**, *
habibkhan at gachon.ac.kr


Key Dates

Abstract Submission Deadline: *June 25, 2024*
Full paper submission: June 30, 2024
Notification of Paper Acceptance: July 31, 2024
Final Paper Submission: August 15, 2024
Conference: September 04-06, 2024
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