Special Issue: Cybersecurity, blockchain, and privacy-preserving technologies: innovations, trends, challenges, opportunities

Guest Editors

Prof. Sokratis Katsikas
Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Norway
Email: sokratis.katsikas@ntnu.no


Dr. Nikolaos Pitropakis
School of Computing, Edinburgh Napier University, UK
Email: N.Pitropakis@napier.ac.uk


Dr. Pavlos Papadopoulos
School of Computing, Edinburgh Napier University, UK
Email: P.Papadopoulos@napier.ac.uk

Manuscript Topics


The increasing reliance on digital technologies and the proliferation of data generated by them have created a complex threat landscape. With cybercrime becoming more sophisticated, it has become imperative to develop robust defensive mechanisms and enhance our understanding of the risks involved. This Special Issue invites original research articles, review articles, and short communications that explore innovative ideas, methodologies, and practical experiences related to cybersecurity, blockchain, and other privacy-preserving technologies.


The focus of this Special Issue is to bring together researchers and practitioners who can share their insights and knowledge on the latest advancements in these areas. We encourage contributions on a range of topics, including but not limited to:  
• Privacy-preserving machine learning and blockchain implementations  
• Adversarial machine learning and other cybersecurity threats  
• Usable security  
• Risk management  
• Incident response and digital forensics  
• Security information, event management, and analytics  
• Intrusion detection  
• Network security  
• IoT security and privacy  
• Cybersecurity of cyber-physical systems and of industrial control systems  
• Privacy-preserving machine learning and blockchain  
• Adversarial machine learning  
• Cloud computing security


We welcome contributions that present state-of-the-art reports, surveys, case studies, or any other original research on these topics. Manuscripts should be submitted online through the submission form, which is available on our website. All submissions will undergo a rigorous peer-review process to ensure the quality and relevance of the contributions.


Please note that manuscripts submitted to this Special Issue should not have been published previously, nor should they be under consideration for publication elsewhere.


We look forward to receiving your contributions and hope that this Special Issue will serve as a valuable platform for advancing research and innovation in cybersecurity, blockchain, and other privacy-preserving technologies.


Instructions for authors
https://www.aimspress.com/era/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 December 2023

Published Papers(6)

Research article
Modified artificial rabbits optimization combined with bottlenose dolphin optimizer in feature selection of network intrusion detection
Fukui Li Hui Xu Feng Qiu
2024, Volume 32, Issue 3: 1770-1800. doi: 10.3934/era.2024081
Abstract HTML PDF Cited (7) Viewed (1601)
Research article
Multi-cloud resource scheduling intelligent system with endogenous security
Nishui Cai Guofeng He
2024, Volume 32, Issue 2: 1380-1405. doi: 10.3934/era.2024064
Abstract HTML PDF Cited (3) Viewed (1258)
Review
A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking
Seyha Ros Prohim Tam Inseok Song Seungwoo Kang Seokhoon Kim
2024, Volume 32, Issue 2: 1333-1364. doi: 10.3934/era.2024062
Abstract HTML PDF Cited (6) Viewed (2364)
Research article
Applying modified golden jackal optimization to intrusion detection for Software-Defined Networking
Feng Qiu Hui Xu Fukui Li
2024, Volume 32, Issue 1: 418-444. doi: 10.3934/era.2024021
Abstract HTML PDF Cited (7) Viewed (2301)
Research article
Privacy amplification for wireless federated learning with Rényi differential privacy and subsampling
Qingjie Tan Xujun Che Shuhui Wu Yaguan Qian Yuanhong Tao
2023, Volume 31, Issue 11: 7021-7039. doi: 10.3934/era.2023356
Abstract HTML PDF Cited (1) Viewed (1458)
Research article
A collaborative prediction approach to defend against amplified reflection and exploitation attacks
Arvind Prasad Shalini Chandra Ibrahim Atoum Naved Ahmad Yazeed Alqahhas
2023, Volume 31, Issue 10: 6045-6070. doi: 10.3934/era.2023308
Abstract HTML PDF Cited (7) Viewed (2795)