학술논문
Deployment of an Advanced Wi-Fi Data Firewall System to Enhance Security in the IoT Ecosystem
Document Type
Conference
Author
Source
2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL) ICSADL Sentiment Analysis and Deep Learning (ICSADL), 2024 3rd International Conference on. :553-557 Mar, 2024
Subject
Language
Abstract
The need for effective security measures has expanded enormously in the fast-changing Internet of Things (IoT) environment of today. Protecting the confidentiality and integrity of data flows has become increasingly important as more devices connect to networks, especially in corporate settings where sensitive information is shared. The proposed set out on a quest to envision and put into practice a thorough Wi-Fi Data Firewall using the adaptable ESP32 development board in order to address these important issues, strengthen IoT security, and Employ optimization techniques like algorithmic efficiency and resource management to reduce computation load. This research primarily focuses on developing an intelligent security gateway to safeguard data for the Internet of Things while monitoring, auditing, and identifying intrusions. The system's brain is the ESP32 microcontroller, which is used to connect to Wi-Fi networks and gather all the data in the suggested innovation. To increase the high security for IoT data, a solution has been proposed: a filter algorithm based on the ESP32 board used here to filter all the data that organization used to send or receive through internet or intranet. All the algorithm has been stored in the esp32 so that real-time monitoring and filtering can be done based on the stored algorithm. IP filtering is accomplished by comparing source and destination IP addresses with predefined rules deciding whether to allow or deny packets based on these addresses. The main goal of the proposed hardware to provide a flexible & adaptive Wi-Fi Data Firewall based on hardware filter for use in office and commercial networks so that it can improve those networks' overall security posture. Additionally, this hardware-based firewall helps to monitor and quick detection of security threats and provide alert of any breaches to the organization's authority. The purpose of this study is to provide IoT data security filter and monitoring for the organization based on the hardware algorithm. Intrusion detection is achieved by examining packet content against predefined rules or patterns, promptly flagging irregularities as potential intrusions, and logging events for investigation. This hardware-based firewall provides a vigilant monitoring and thorough audits using the filtering of the data based on the algorithm stored inside the ESP32 Wi-Fi, The ESP32-based Wi-Fi Data Firewall's technological innovation, security upgrades, and proactive threat detection tactics are summarized.