DESIGN AND IMPLEMENTATION OF Wi-Fi DEAUTHENTICATION SYSTEM USING NODEMCU ESP8266

Approved

Relevance and Originality

The study addresses a critical issue in network security: Wi-Fi de-authentication attacks, which pose significant threats to data integrity, confidentiality, and availability. By focusing on a contemporary problem within cybersecurity, the research is highly relevant. The originality of the work lies in its practical implementation of a Wi-Fi deauther using the NodeMCU ESP8266 microcontroller. This innovative approach not only highlights the vulnerability of Wi-Fi networks but also offers a scalable and cost-effective solution to mitigate such attacks, which adds considerable value to the field of wireless security.

Methodology

The paper presents a clear and systematic methodology for the implementation of the Wi-Fi deauther. It effectively describes the use of the NodeMCU ESP8266 platform and the tools (Arduino IDE and NodeMCU Flasher) utilized in the development process. However, a more detailed explanation of the specific algorithms or techniques employed in the detection and prevention of de-authentication attacks would enhance the methodology's robustness. Additionally, discussing the experimental setup, including the conditions under which the tests were conducted and the metrics used to measure performance, would provide further clarity.

Validity & Reliability

The experimental findings reported in the study appear valid, demonstrating high detection accuracy and quick response times with minimal impact on network performance. The metrics, such as CPU usage below 70% and a less than 5% reduction in performance and latency, indicate a reliable system. However, to strengthen the validity of the findings, the paper could include a comparative analysis with existing solutions or benchmarks in the field, as well as discussions on the limitations of the proposed system.

Clarity and Structure

The article is well-structured, presenting information logically and coherently. Each section flows smoothly, allowing readers to grasp the significance of the research and its contributions to the field. The language is clear, making complex concepts accessible to a broad audience. Nevertheless, the inclusion of diagrams or flowcharts to illustrate the system architecture or the attack prevention process would enhance clarity and comprehension.

Result Analysis

The study provides promising results regarding the effectiveness of the proposed Wi-Fi deauther. However, it would benefit from a more in-depth analysis of the results, including a discussion on the implications of the findings for real-world applications. Incorporating user feedback or case studies demonstrating the practical effectiveness of the solution in various network environments could further substantiate the claims. Additionally, recommendations for future research or potential enhancements, such as machine learning integration for improved detection, are a valuable addition to the result analysis.