4th South American International Conference on Industrial Engineering and Operations Management

NETBLK: Network Adblocker using Raspberry Pi

John Ezekiel Dunglao
Publisher: IEOM Society International
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Track: IoT
Abstract

Advertisement blocking refers to the practice of using software or browser extensions to prevent advertisements from displaying on web pages or mobile applications. It is a growing trend among internet users, with an increasing number of people opting to block ads online. The use of adblockers has become a significant concern for businesses and advertisers who rely on online advertising to generate revenue. This study aims to design a DNS server that will have a similar function as a firewall. A small board computer called Raspberry Pi will be used to connect to a network where websites with ads will be filtered. A small open-source networking tool called Pi-Hole will be used for configuring the Raspberry Pi. The device will now be the location of network traffic traveling through the network. This system is applied through the use of waterfall methodology which is a linear, sequential approach to project development, where the development process is divided into distinct phases. These phases typically include requirements gathering, design, implementation, testing, and maintenance. The results of the survey show that the system has been accommodating to the evaluators. While adblocking software can improve the user experience by blocking annoying and intrusive ads, adblocking can be effective in mitigating certain information threats particularly those that originate from malicious ads. Malicious advertisements can contain malware or lead users to phishing sites, and adblocking can prevent them from being displayed on a user's device. It is very important to protect such information from being stolen by attackers within a network.

Published in: 4th South American International Conference on Industrial Engineering and Operations Management, Lima, Peru

Publisher: IEOM Society International
Date of Conference: May 9-11, 2023

ISBN: 979-8-3507-0545-4
ISSN/E-ISSN: 2169-8767