Imagine you’re a superhero protecting a city from sneaky villains. One particular villain, the Cross-Site Scripting Attack (XSS), poses a serious threat to the city’s network security. To stop these sneak attacks, scientists have developed a powerful weapon called the Modified ResNet Block and NiN Model Convolutional Neural Network (MRBN-CNN). This superhero model preprocesses URLs like detectives analyzing clues, extracts features from multiple perspectives, and utilizes its 1*1 convolution superpower to replace traditional methods. When put to the test against other detection models, MRBN-CNN outperforms them all in terms of accuracy and convergence time. The results are astounding! Compared to a baseline, this superhero model achieves an impressive 99.23% accuracy, 99.94% precision, and a recall value of 98.53%. With MRBN-CNN on our side, we can finally sleep soundly at night knowing our networks are protected from XSS villains. Read the full research article to uncover the superpowers of this amazing model!
Cross-site scripting (XSS) attacks are currently one of the most threatening network attack methods. Effectively detecting and intercepting XSS attacks is an important research topic in the network security field. This manuscript proposes a convolutional neural network based on a modified ResNet block and NiN model (MRBN-CNN) to address this problem. The main innovations of this model are to preprocess the URL according to the syntax and semantic characteristics of XSS attack script encoding, improve the ResNet residual module, extract features from three different angles, and replace the full connection layer in combination with the 1*1 convolution characteristics. Compared with the traditional machine learning and deep learning detection models, it is found that this model has better performance and convergence time. In addition, the proposed method has a detection rate compared to a baseline of approximately 75% of up to 99.23% accuracy, 99.94 precision, and a 98.53% recall value.
Dr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the untapped potential of the human mind, Dr. Lowemann has dedicated his career to pushing the boundaries of human capabilities and understanding.
Armed with a Master of Science degree and a Ph.D. in his field, Dr. Lowemann has consistently been at the forefront of research and innovation, delving into ways to optimize human performance, cognition, and overall well-being. His work at the Institute revolves around a profound commitment to harnessing cutting-edge science and technology to help individuals lead more fulfilling and intelligent lives.
Dr. Lowemann’s influence extends to the educational platform BetterSmarter.me, where he shares his insights, findings, and personal development strategies with a broader audience. His ongoing mission is shaping the way we perceive and leverage the vast capacities of the human mind, offering invaluable contributions to society’s overall success and collective well-being.