Call for Papers - Volume 01 | Issue 01
Dear Colleagues,
You are invited to submit your research articles, short communications, and review papers for Volume 1 Issue 1 of the open-access Future Cybersecurity and Artificial Intelligence (FCAI) Journal.
Future Publishing LLC (Future) is an American-based open-access publisher that publishes academic journals, online databases, and services in science. We serve scholars worldwide to ensure the latest research is freely available, and all content is distributed.
Future Cybersecurity and Artificial Intelligence (FCAI) is a peer-reviewed, open-access journal dedicated to advancing the frontiers of research in cybersecurity and artificial intelligence (AI). The journal serves as a platform for innovative studies and interdisciplinary approaches that address the rapidly evolving challenges and opportunities in the digital world. FCAI focuses on cutting-edge topics such as advanced threat detection, secure system architectures, ethical AI, autonomous systems security, machine learning applications in cyber defense, and the intersection of AI with privacy and trust frameworks.
Journal Information
Journal Name:
Future Cybersecurity and Artificial Intelligence (FCAI)
Website:
Frequency:
Twice in a year
Language:
English
Publisher:
Future Publishing LLC
Country of Origin:
USA
Focus and Scopes
Future Cybersecurity and Artificial Intelligence (FCAI) is a multidisciplinary journal dedicated to exploring the intersection of cybersecurity and artificial intelligence (AI) to address pressing challenges and drive innovation in the digital age. The journal welcomes contributions that advance theoretical frameworks, novel methodologies, and practical applications in areas such as:
Cybersecurity, AI for Security, Ethics and Trust, Autonomous Systems, Adversarial AI, AI Governance and Policy, Human-Centric AI Security, Quantum Computing and Security, Blockchain in Cybersecurity, Blockchain and AI Integration, Smart Contracts and Security, Blockchain Governance and Policy, Machine Learning, Deep Learning, AI-Powered Defense Systems, Explainable AI (XAI), Adversarial Machine Learning, Internet of Things (IoT) Security, AI in IoT, IoT Data Privacy, IoT and Blockchain, Resilient IoT Systems, IoT Governance, and Ethics.
FCAI aims to serve as a leading platform for innovative and impactful research that bridges the gap between academia and industry while fostering collaboration to ensure a secure and ethical AI-powered future.
Editorial Office
Future Cybersecurity and Artificial Intelligence
Email: fcai@fupubco.com
