Security, Privacy and Application in New Intelligence Techniques
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 7406
Special Issue Editors
Interests: network and information security; data security and privacy protection; artificial intelligence security; software security
Special Issue Information
Dear Colleagues,
In recent years, intelligence techniques have attracted extensive attention from research, industry and other fields, greatly expanding the ability of human beings to perceive, understand and control the physical world, and profoundly affecting the production and lifestyle of human beings. Nevertheless, their rapid and widespread deployment, along with their participation in the provisioning of potentially critical services, raise numerous issues related to the security and privacy of the performed operations and provided services. Every day, we use intelligence techniques to collect and analyze our personal, financial as well as health information on a regular basis. As these techniques are an often open and complex, they can be subjected to malicious attacks from both insiders and outsiders; the need to protect the security and privacy in these techniques becomes a critical issue. Consequently, research and development efforts in academia and industry have been increasingly focusing on security and privacy issues in intelligence techniques. Although recent advances in the security and privacy protection of intelligence techniques, such as fully homomorphic encryption, secure multiparty computation, and adversarial machine learning, are promising, more work is still needed to transform theoretical techniques into practical solutions that can be efficiently implemented in the new intelligence techniques. This Special Issue is dedicated to the most recent developments and research outcomes addressing the related theoretical and practical aspects on security, privacy and application in new intelligence techniques, and the goal is to provide worldwide researchers and practitioners an ideal platform to innovate new solutions targeting at the corresponding key challenges. Original and unpublished high-quality research results are solicited to explore various challenging topics which include, but are not limited to the ones listed below:
- Intelligence techniques in cybersecurity;
- New cryptographic techniques for intelligence techniques;
- Privacy preserving machine learning;
- Adversarial machine learning;
- Deep Learning in security and privacy;
- Big data intelligence in security and privacy;
- Security and privacy in new intelligent computing technologies;
- Security and privacy in intelligent data sharing, integration, and storage;
- Security and privacy in Internet of Things;
- Blockchain in intelligent applications and services;
- Intelligent data processing, storage and sharing;
- Intelligent application;
- Security and privacy in graph neural network;
- Risk assessment and prediction;
- Prediction and early warning of security risk of intelligent system;
- Secure federated learning.
Prof. Dr. Jian Xu
Dr. Ruijin Wang
Guest Editors
Manuscript Submission Information
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Keywords
- security
- privacy
- intelligence techniques
- adversarial machine learning
- blockchain
- federated learning
- Internet of Things
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