The "International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence" is a scholarly periodical dedicated to advancing the knowledge and research in the overlapping fields of machine learning, cybersecurity, and artificial intelligence (AI). This journal provides a platform for researchers, practitioners, and policymakers to disseminate their latest findings, theories, methodologies, and applications related to these rapidly evolving domains.
The International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence is a premier academic publication dedicated to advancing knowledge at the intersection of machine learning, cybersecurity, and AI. It publishes cutting-edge research, innovative methodologies, and comprehensive reviews that address the challenges and opportunities in these dynamic fields. The journal fosters interdisciplinary collaboration and promotes the development of secure AI systems, with a strong focus on practical applications and theoretical foundations. Ideal for researchers, practitioners, and policymakers, it serves as a vital resource for staying abreast of the latest advancements and trends in cybersecurity and artificial intelligence.
Name of Journal: International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence
Journal Frequency:
ISSN Online: xxxx-xxxx
ISSN Print: xxxx-xxxx
Language: English.
Name of Publisher: xxxxxxxxxxxxx
Review Type: Double Blind Peer Review
Area of Publication: xxxxxxx
