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Journal Of Network security

jons | E-ISSN: 2395-6739 | Peer-Reviewed | Subscription Based

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

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

Editor

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

Latest Articles

Merkle Trees in Digital Forensics: A Comprehensive Review of Chain-of-Custody Applications

The integrity of the chain of custody is key to the admissibility of digital evidence in court, as any alteration that goes unnoticed can lead to doubts about an exhibit.

Digital Evidence; Chain of Custody; Merkle Trees; Data Integrity Verification; Blockchain; Cryptographic Hashing

BlockCertify: A Blockchain-Based Certificate Generation and Verification System

The proliferation of fraudulent academic and professional credentials has become a critical challenge for educational institutions, employers, and regulatory bodies worldwide.

Blockchain · Certificate Verification · Fake Certificate Detection · Smart Contracts · Digital Credentialing · Next.js · MongoDB · Cryptographic Security · Immutable Ledger

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

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

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

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

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

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

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

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

Metaverse, twins, security, ethics, identity, society

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