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Journal Photo for ISCSITR - International Journal of Network and Information Security
Peer reviewed only Open Access

ISCSITR - International Journal of Network and Information Security (ISCSITR-IJNIS)

Publisher : International Society for Computer Science and Information Technology Research (ISCSITR)
cybersecurity network defense mechanisms cryptographic techniques
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e-ISSN 2916-7538
Issue Frequency Half-Yearly
Est. Year 2020
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iscsitr.com, iscsitr@gmail.com

Journal Descriptions

ISCSITR - International Journal of Network and Information Security (ISCSITR-IJNIS) is a distinguished open-access, peer-reviewed journal supported by the International Society for Computer Science and Information Technology Research (ISCSITR). This journal focuses on the critical areas of network security and information security, providing a scholarly platform for the dissemination of research findings, technological advancements, and innovative security practices. The ISCSITR-IJNIS addresses a wide range of topics in the security domain, including but not limited to cybersecurity, network defense mechanisms, cryptographic techniques, intrusion detection systems, malware analysis, digital forensics, secure communication protocols, data privacy, and compliance with international security standards. It also covers emerging areas such as IoT security, cloud security, mobile security, and the security aspects of artificial intelligence and machine learning. This journal seeks to contribute to the academic and professional knowledge base by publishing high-quality research articles, case studies, and reviews that provide new insights, methodologies, and rigorous analyses related to the security and integrity of information and network systems. The open-access model ensures that all content is freely available, thus promoting greater dissemination and impact of the work within the global network and information security community. The ISCSITR-IJNIS is an invaluable resource for security professionals, researchers, and policymakers looking to stay informed about the latest challenges and innovations in network and information security.

ISCSITR - International Journal of Network and Information Security (ISCSITR-IJNIS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, cybersecurity, network defense mechanisms, cryptographic techniques, intrusion detection systems, malware analysis, digital forensics, secure communication protocols, data privacy, Information Security , Online , Half-Yearly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2916-7538, Established: 2020,
  • Provides Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of ISCSITR-IJNIS

Evaluating the Efficacy of Homomorphic Encryption and Secure Multiparty Computation for Preserving Confidentiality in Decentralized Data Ecosystems
Fatima Al-Mansouri July, 2021
In decentralized data ecosystems, the confidentiality of sensitive information remains a significant challenge, particularly in the face of collaborative data analysis. This paper evaluates ...
Adaptive Threat Intelligence through Federated Learning for Secure Distributed Network Environments with Heterogeneous Nodes
Carlos González April, 2022
The rise of distributed networks with heterogeneous devices has brought increased vulnerability to cyber-attacks, particularly in environments where data centralization is infeasible due to ...
Unsupervised Representation Learning for Autonomous Detection of Stealthy Malware and Insider Threats in Encrypted Traffic Streams
Liam Turner March, 2023
The rise of encryption protocols has greatly improved data privacy, yet it simultaneously challenges the detection of malicious activities within encrypted traffic. Traditional signature-bas...
Scalable Cryptographic Protocol Design for Ensuring Confidentiality and Integrity in Multi-Cloud Federated Distributed Systems
Takumi Yamashita August, 2023
The increasing reliance on multi-cloud federated distributed systems in critical infrastructures demands robust cryptographic protocols to ensure both confidentiality and data integrity acro...
Robust Adversarial Resilience in Deep Neural Architectures via Multiobjective Optimization for Secure Machine Learning Systems
Ahmed El-Sayed March, 2025
The increasing sophistication of adversarial attacks poses a significant threat to the robustness and trustworthiness of deep learning systems, especially in security-critical domains. This ...