Manuscript Submission Deadline
Call for Papers
With the gradual integration of Internet of Things (IoT), healthcare industry has become ubiquitous, complex, sophisticated, efficient and autonomous. Thus, the modern day cyber physical systems (CPS) encompassing healthcare devices, medical equipments, intelligent implantable medical devices (IMDs), smart sensors, wearables, etc., have gained the attention of both the academia and industry. The healthcare-based CPSs are characterised by bundle of opportunities for both the pro-consumers (patients and their relatives) and the service providers (doctors and hospitals). Nevertheless, the integration of IoT with healthcare is also bounded by various deficiencies namely interoperability, security and high assurance. Amongst these challenges, one of the most concerning threats faced by the healthcare-based CPSs is implementation of apt security measures. However, the installation of conventional intrusion detection and prevention systems (IDS/IPS) with access control mechanisms often fall short to detect such life threatening attacks. Thus, to ensure highly secure and uninterrupted services in the healthcare-based CPSs, it is essential to device more advanced and intelligent techniques. One of the latest trends involves artificial intelligence (AI)-driven technologies that allow seamless management of heterogenous data while designing highly decisive attack patterns to accurately foresee hacker’s behaviour. Additionally, game-theoretic approaches have also surfaced as eminent candidates for cyber defence to optimally address the complex decision making problems. Thus, this Special Issue aims to bring together leading researchers, both from academia and industry, to share their visions, challenges, recent findings and advances related to the application of AI-based cyber security for smart healthcare ecosystem. Potential topics include, but not limited to the following:
- New framework, algorithms, and protocol designs for AI-based healthcare CPSs
- Case-studies, applications, and prototypes for healthcare cyber security
- Simulation, testing and formal verification of AI-based security solutions for healthcare
- Machine learning driven IDS/IPS solutions for healthcare CPSs
- Networking and Computing Architecture AI-based healthcare CPSs
- Big data analytic frameworks for AI-powered healthcare CPSs
- Game theory based secure and trustable solutions for healthcare systems
- Cloud/grid/edge computing for healthcare CPSs
- Data-driven optimization of AI-based healthcare networks
- Proactive network monitoring architecture for healthcare CPSs
- Energy-efficient network operations for healthcare CPSs via AI/ML
- Self-Learning and adaptive networking protocols for real-world CPSs
- Exploiting 5G and Beyond for AI-aided healthcare solutions
- Deep and reinforcement learning based security solutions for attack prediction in CPSs
- AI based security solutions for IMDs, smart sensors, wearables, etc
- Human-machine interaction for healthcare cyber security
- Other standards, policies and regulations for integrating IoT paradigms in CPSs
Papers submitted to this special issue for possible publication must be original and must not be under consideration for publication in any other journal or conference.
All papers are to be submitted through the journal editorial submission system. At the beginning of the submission process in the submission system, authors need to select “ Special Issue on AI-driven Cybersecurity for Healthcare Cyber Physical Systems ” as the article type.
All manuscripts must be prepared according to the journal publication guidelines, which can also be found on the website provided above. Papers will be evaluated following the journal's standard review process.
All papers will be reviewed by at least three reviewers for their technical merit, scope, and relevance to the CFP.
1 December 2021 1 February 2022 (Extended Deadline)
First Notification: 15 March 2022
Revisions Due: 1 May 2022
Issue of Publication: 2022
Dr. Sahil Garg
École de technologie supérieure, Montreal, Canada
Dr. Yulei Wu
University of Exeter, UK
Dr. Shahid Mumtaz