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Theme issue: Explainable AI (XAI)-enabled Advanced Security Techniques for Personal and Ubiquitous Technologies, Services and Systems [CFP]

Personal and Ubiquitous Computing
Personal and Ubiquitous Computing

Guest Editors

Li Zhang
Royal Holloway, University of London, UK
Jichun Li University of Essex, UK
Guangming Zhang
University of Texas, USA
Piyush Kumar Shukla
Technological University of Madhya Pradesh, India

This special issue aims to bring together research on three emerging technologies and explore the relationships between them - Explainable AI, blockchain and IoT - in the context of security for ubiquitous applications and services.

Current 'black box' AI is vulnerable to bias and adversarial attacks, contaminating learning and inference processes, and the exponential growth and use of IoT-based ubiquitous applications and services has created new security and privacy risks.

By combining explainable AI (XAI), a type of AI that explains its decisions, with blockchain, which allows for safe, transparent, and verifiable transactions, the opportunity is to transform IoT-based ubiquitous services and improve trust, security, and privacy.

The goal of this special issue is to bring together diverse multidisciplinary research on topics including XAI, blockchain, smart contracts, trusted oracles, and decentralized storage.


Scope


Topics of interest include, but are not restricted to:

The Interconnection between Blockchain, IoT, and Explainable AI for advanced digital technologies
Explainable AI-based privacy, safety and risk management for trustworthy ubiquitous systems
Blockchain assisted Explainable AI lightweight protocol design methods for IoT
Explainable AI-assisted cloud computing models for secure IoT systems
Explainable AI and blockchain-based secured IoT models
Effective ways to improve performance and efficiency measures of IoT applications with XAI and blockchain techniques
Advances in risk management and vulnerability using blockchain and Artificial intelligence methodologies
Advances in big data analytics with blockchain methodologies for secure IoT
Advances in blockchain assisted distributed machine learning solutions for IoT
Quantum secured blockchain based applications
Anonymous and transparent protocol design methods in blockchain applications
Blockchain for explainable and trustworthy artificial intelligence.


Important Dates

Submission deadline:
January 30, 2022
First notification:
April 25, 2022
Revisions Due:
June 30, 2022
Final Decision:
September 30, 2022
Publication:
late 2022


Submissions


Submissions should be original papers and should not be under consideration for publication elsewhere. Extended versions of high-quality conference papers that are already published at relevant venues may also be considered as long as the additional contribution is substantial (at least 30% new content).

Authors should follow the formatting and submission instructions for Personal and Ubiquitous Computing at
.

For more information visit the
Springer Nature Information for journal Article Authors
pages at

During the first submission step in Editorial Manager select
Original article
as the article type. In further steps you should confirm that your submission belongs to this special issue by choosing the special issue title from the drop-down menu.

All papers will be peer-reviewed. Before any special issue is given final approval to be put into production, additional rigorous integrity checks are carried out by the editor-in-chief, editorial team, production office and by Springer Nature.



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