Blockchain for Network Security_ Applications in Decentralized Security Protocolswe

The research paper “Blockchain for Network Security: Applications in Decentralized Security Protocols” by Abu Imam Mehrab from California Science and Technology University explores how blockchain technology can address critical vulnerabilities in traditional, centralized network security infrastructures. Conventional models rely on single points of failure, making them susceptible to advanced cyber threats like DDoS attacks, identity fraud, and IoT breaches. Blockchain, with its distributed ledger, immutability, transparency, and cryptographic verification, provides a robust decentralized alternative. The paper analyzes practical implementations such as Microsoft’s decentralized identity initiative and IBM’s blockchain-based IoT security, demonstrating how blockchain enhances identity management, IoT protection, DDoS mitigation, and zero-trust architectures. It also evaluates technical and regulatory challenges, including scalability, energy consumption, and compliance concerns. Additionally, it explores future trends like AI-integrated blockchain security and quantum-resistant cryptographic models, positioning blockchain as a critical element in next-generation cybersecurity. Through theoretical insights and case studies, the research establishes blockchain as a transformative tool for building resilient, transparent, and scalable security frameworks—signaling a shift from centralized trust models to distributed, trustless architectures in global network defense. <meta name="google-site-verification" content="JMX9a_shv1nkr36MaowMjNxOS9SCAi3RJLqsReU6pOw" />

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-25
DOI
https://doi.org/10.5281/zenodo.17442874
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain for Network Security_ Applications in Decentralized Security Protocolswe

Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
article

Blockchain for Network Security_ Applications in Decentralized Security Protocolswe

article en

Abstract

The research paper “Blockchain for Network Security: Applications in Decentralized Security Protocols” by Abu Imam Mehrab from California Science and Technology University explores how blockchain technology can address critical vulnerabilities in traditional, centralized network security infrastructures. Conventional models rely on single points of failure, making them susceptible to advanced cyber threats like DDoS attacks, identity fraud, and IoT breaches. Blockchain, with its distributed ledger, immutability, transparency, and cryptographic verification, provides a robust decentralized alternative. The paper analyzes practical implementations such as Microsoft’s decentralized identity initiative and IBM’s blockchain-based IoT security, demonstrating how blockchain enhances identity management, IoT protection, DDoS mitigation, and zero-trust architectures. It also evaluates technical and regulatory challenges, including scalability, energy consumption, and compliance concerns. Additionally, it explores future trends like AI-integrated blockchain security and quantum-resistant cryptographic models, positioning blockchain as a critical element in next-generation cybersecurity. Through theoretical insights and case studies, the research establishes blockchain as a transformative tool for building resilient, transparent, and scalable security frameworks—signaling a shift from centralized trust models to distributed, trustless architectures in global network defense. <meta name="google-site-verification" content="JMX9a_shv1nkr36MaowMjNxOS9SCAi3RJLqsReU6pOw" />

Zenodo (CERN European Organization for Nuclear Research)
University of Science and Technology (YE)
Affordable and clean energy
Openalex Percentile: Top 33%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.