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

Approved

Relevance and Originality

The research article addresses a critical issue in network security by focusing on Wi-Fi de-authentication attacks, which are increasingly common in today’s digital landscape. This emphasis on a pressing threat makes the study highly relevant and timely. The originality lies in the practical implementation of a Wi-Fi deauther using the NodeMCU ESP8266 microcontroller, bridging theoretical knowledge with hands-on application. By exploring this innovative approach, the article contributes meaningfully to the field and provides a unique perspective on mitigating wireless security threats.

Methodology

The methodology is well-defined, showcasing the development of the Wi-Fi deauther through the use of tools such as the Arduino IDE and NodeMCU Flasher. However, further details regarding the testing framework, including the specific types of networks, devices used, and environmental conditions, would enhance the understanding of the methodology's robustness. Additionally, outlining the detection algorithms or processes employed in the implementation would provide clarity and improve the replicability of the study.

Validity & Reliability

The findings indicate high detection accuracy and minimal impact on network performance, which enhances the validity of the results. Including specific performance metrics, such as numerical values or comparisons to existing solutions, would strengthen these claims. Furthermore, a broader range of test scenarios could improve the reliability of the study, ensuring that the proposed solution is effective under various conditions and attack vectors.

Clarity and Structure

The research article is logically structured, guiding readers through the background, problem statement, solution, implementation, and results seamlessly. This coherent flow helps maintain reader engagement and understanding. Nevertheless, to improve clarity, technical terms should be minimized or thoroughly explained. The addition of visual aids, such as diagrams or flowcharts, could enhance comprehension of complex concepts and the system architecture.

Result Analysis

While the article highlights impressive detection accuracy and low network impact, a more thorough analysis of the results would be beneficial. Discussing the limitations of the current implementation, such as the types of attacks considered or environmental variables influencing performance, would provide a balanced view. Additionally, a comparison with alternative solutions could offer insight into the effectiveness of the proposed approach, enriching the result analysis and practical implications.