Journal of Applied Data Sciences
Vol 7, No 3: September 2026

Enhancing Network Security and Content Control in Academic Environments Using Pi-hole

R Elavarasi (Unknown)
P Gajalakshmi (Unknown)
D Kadhiravan (Unknown)
M Naresh (Unknown)
Harprith Kaur R S (Unknown)



Article Info

Publish Date
14 Sep 2026

Abstract

Academic institutions require reliable internet access to support teaching, research, communication, and digital learning activities. However, unrestricted connectivity may expose institutional networks to non-academic content, malicious domains, excessive bandwidth consumption, and unauthorized access attempts. This study develops and evaluates a lightweight DNS-based internet filtering architecture using Pi-hole for centralized content control in academic environments. The system was deployed on a Raspberry Pi 3B+ as the primary DNS resolver, enabling domain requests to be processed through configurable blocklists, whitelists, scheduled policies, and centralized query logging. Its performance was compared with firewall-based filtering, proxy-server filtering, and browser-extension filtering using five evaluation dimensions: blocking effectiveness, CPU efficiency, cost-effectiveness, scalability, and bypass resistance. The results show that Pi-hole achieved the highest overall score of 9.0, with scores of 9 for blocking effectiveness, CPU efficiency, and bypass resistance, 10 for cost-effectiveness, and 8 for scalability. The enterprise firewall provided greater client capacity but required substantially higher infrastructure and operational costs. Proxy servers offered application-level control but imposed higher computational overhead, while browser extensions were inexpensive but limited in scalability and resistance to circumvention. The findings demonstrate that Pi-hole provides a balanced, centralized, and resource-efficient filtering solution for small- and medium-sized academic networks. Its effectiveness can be further strengthened through forced DNS redirection, firewall integration, role-based policies, and automated domain classification.

Copyrights © 2026






Journal Info

Abbrev

JADS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

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