International Journal of Machine Learning and Cyber Security

Editor in Chief

Dr. Leo John Baptist Andrews

ISSN online

2583-908X

3 issues per year

Aims & Scope

International Journal of Machine Learning and Cyber Security (IJMLCS) is a peer-reviewed scientific publication that publishes original research on the theoretical underpinnings and practical applications in the areas of Cyber Security. The goal of this publication is to cover all the important parts of cybersecurity in a structured way. It will focus on the research about online security problems, the latest research results, and how security technologies are used in the real world.
The aim of this Journal is to encourage scientists to publish their experimental and theoretical results in as much detail as possible.

Cryptography and its applications
Network and critical infrastructure security
Hardware security
Software and system security
Cybersecurity data analytics
Data-driven security and measurement studies
Adversarial reasoning
Malware analysis
Privacy-enhancing technologies and anonymity
IoT Security
AI Security
Big Data Security and Privacy;
Cloud Security
Frequency of publication: 3 Issues in a year
Language: English
Starting year: 2023
Subject: Engineering
Format of publication – Online and Print ,
Publisher details : Science Academy Press,
Photon Technologies,
No.58, South Usman Road,
T.Nagar, Chennai,
India – 600 017.

Editorial Board

Editor-in-Chief

Dr. Leo John Baptist Andrews,
Head of the Department, Fellow,
Department of Information Technology,
Faculty of Engineering and Technology,
BOTHO UNIVERSITY, Gaborone, Botswana.
Email: [email protected]

Contact Us

Science Academy Press,
Photon Technologies,
3rd Floor, No. 58, South Usman Road,
T.Nagar,
Chennai-600 017.