VENKAT VIJAY MP’s Post

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Student at Paavai College of Engineering

This paper presents a comprehensive study on advanced methods for detecting network attacks utilizing both machine learning and deep learning techniques. With the increasing complexity and frequency of cyber threats, traditional detection systems are often inadequate. Our research explores the implementation of cutting-edge algorithms and models to enhance the accuracy and efficiency of network security. We evaluate various machine learning classifiers and deep learning architectures, demonstrating their effectiveness in identifying sophisticated attack patterns in real-time. The results indicate a significant improvement in detection rates, reduced false positives, and robust performance across diverse network environments. This work contributes to the development of more resilient cybersecurity frameworks, providing valuable insights for researchers and practitioners in the field.

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