About the Journal

ISCSITR - International Journal of Network and Information Security (ISCSITR-IJNIS) is an open-access, peer-reviewed journal affiliated with the International Society for Computer Science and Information Technology Research (ISCSITR). This journal serves as a significant publication in the fields of network security and information security, providing a platform for researchers, professionals, and academics to share innovative findings, methodologies, and advancements in these areas.

Aim

The primary aim of ISCSITR-IJNIS is to foster scientific knowledge in the rapidly evolving field of network and information security. By promoting the exchange of research and best practices across academic and professional boundaries, the journal seeks to enhance understanding and address complex challenges in cybersecurity, data privacy, network protection, and information systems. The journal’s open-access model ensures that its high-quality research output is accessible to a broad audience, including researchers, practitioners, students, and policymakers globally.

Scope

The scope of ISCSITR-IJNIS covers a wide range of topics critical to network and information security. Key areas of interest include, but are not limited to:

  • Network Security: Research on securing networks against unauthorized access, attacks, and other vulnerabilities. This includes work on firewalls, intrusion detection and prevention systems, and secure communication protocols.

  • Cryptography and Data Protection: Advances in encryption techniques, cryptographic algorithms, and methods for protecting sensitive data from unauthorized disclosure.

  • Information Privacy: Issues surrounding data privacy, regulatory compliance, and privacy-preserving technologies that address the ethical and legal aspects of data handling.

  • Cybersecurity Threat Detection and Management: Studies on detecting and mitigating cyber threats, malware, ransomware, and phishing attacks, as well as strategies for cyber incident response.

  • Cloud and Distributed Security: Research focused on security issues in cloud computing, distributed networks, and emerging architectures, such as edge computing and the Internet of Things (IoT).

  • Machine Learning and Artificial Intelligence in Security: The application of AI and machine learning techniques for cybersecurity, including threat detection, anomaly detection, and automated responses to security incidents.

  • Security Protocols and Architecture: Analysis and development of secure architectures and protocols that ensure the confidentiality, integrity, and availability of data across various systems.

By emphasizing interdisciplinary research, ISCSITR-IJNIS encourages submissions that bring together perspectives from computer science, engineering, information technology, and policy studies. The journal publishes high-quality original research articles, case studies, review articles, and theoretical or experimental studies that contribute to advancing the field of network and information security.