Journal Of Network security

About the Journal

Journal Of Network security

Journal of Network Security [2395-6739(e)] is a peer-reviewed hybrid open-access journal launched in 2013 focused on the publication of all the Research/Review work carried out for the security of the network.

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Journal Of Network security (JONS): 2395-6739(e) is a peer-reviewed hybrid open-access journal launched in 2013 focused on the publication of all the

View Full Focus & Scope

Journal Information

Title:

Journal Of Network security

Abbreviation:

JONS

Issues Per Year:

3 Issues (Jan-April,May-August,Sept-Dec)

P-ISSN:

2395-6739

Publisher:

116314

DOI:

10.37591/JoNS

Starting Year:

2013

Subject:

Language:

English

Publication Format:

Hybrid Open Access

CC BY-NC-ND

Type:

Peer-reviewed Journal (Refereed Journal)

Indexing:

Advanced science index (ASI), Cite Factor, Directory of Research Journals Indexing (DRJI), Google Scholar, Journal TOCs

Indexing

Advanced Science Index (ASI), Index Copernicus, Citefactor, Scientific Literature (SCILIT), Genamics, Journal TOCs, Google Scholar,
ICV Value: 2022 : 55.27,

Impact Factor(SJIF)

2020: 6.252,
2021: 6.16,
2022: 6.115,
2023: 6.109,
2024: 6.049

Address:

Editorial Board

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jons maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Dr. Padmashree T, Associate Professor

RV College of Engineering, Karnataka, India,

Email :

Institutional Profile Link: https://rvce.edu.in/ise-pt

Journal: Journal Of Network security

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Latest Articles

Ensemble-Based Detection of Phishing URLs Using Machine Learning: A Cybersecurity Approach

Author: Abhishek Nishad, Priyanka Jha, Kinjal Doshi

Phishing websites are among the most frequently used tactics by cybercriminals to trick people into revealing sensitive information, including usernames, passwords, banking details, and other personal data.

Phishing URL Detection, Machine Learning, Ensemble Learning, Gradient Boosting, Cybersecurity, URL Analysis, Feature Engineering, Web Security

16/08/2026 Ahead of Print Subscription Original Research -

Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP

Author: Krishna Devanand Maurya, Aryan Rajesh Pal, Brijesh Pandey

Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication.

Spam email detection, machine learning, explainable artificial intelligence, LIME, SHAP, support vector machine, TF-IDF, model interpretability, cybersecurity

25/07/2026 Published Regular Issue Subscription Original Research 35 - 48

AI-Driven Cyber Threat Detection and Response Framework for Higher Educational Institutions (HEIs)

Author: Irfan Belim, Bhargav Rajyagor

Higher educational institutions (HEIs) are increasingly exposed to complex cyber threats due to their open-access digital ecosystems, diverse user populations, and extensive research infrastructures.

Artificial intelligence, cyber security, anomaly detection, higher education security, risk scoring

20/07/2026 Published Regular Issue Subscription Original Research 28 - 34

3D-Animated Digital Twins in the Metaverse: Security Challenges, Ethical Risks, and Societal Implications

Author: Priyanka Priyadarshini, Tarakanta Sahoo

Metaverse is emerging as an immersive digital space where users interact through virtual environments.

Metaverse, twins, security, ethics, identity, society

04/02/2026 Published Regular Issue Subscription Review Article 11 - 19

An In-Depth Analysis of Cybersecurity: Vulnerabilities, Threat Landscapes, Attack Mechanisms, and Defense Solutions

Author: Rohit Vijay Pawar

In a highly digitalized world today, cybersecurity has become a necessary component in safeguarding modern world technology.

Attacks, cybersecurity, information security, systematic review, threats

05/05/2026 Published Regular Issue Subscription Review Article 1 - 10

AI-Based Cybersecurity Framework for Protecting Smart Surveillance Infrastructure in Mumbai

Author: Shweta Waghmare, Shweta Waghmare

Smart city infrastructure is becoming increasingly dependent on interconnected surveillance systems to enhance public safety, improve operational efficiency, and strengthen citizens' confidence in urban services.

Smart city security, cyber resilience, artificial intelligence, smart surveillance, intrusion detection, machine learning, Mumbai, CIC-IDS 2017