Cross-Site Scripting(XSS)remains a significant threat to web application security,exploiting vulnerabilities to hijack user sessions and steal sensitive data.Traditional detection methods often fail to keep pace with ...Cross-Site Scripting(XSS)remains a significant threat to web application security,exploiting vulnerabilities to hijack user sessions and steal sensitive data.Traditional detection methods often fail to keep pace with the evolving sophistication of cyber threats.This paper introduces a novel hybrid ensemble learning framework that leverages a combination of advanced machine learning algorithms—Logistic Regression(LR),Support Vector Machines(SVM),eXtreme Gradient Boosting(XGBoost),Categorical Boosting(CatBoost),and Deep Neural Networks(DNN).Utilizing the XSS-Attacks-2021 dataset,which comprises 460 instances across various real-world trafficrelated scenarios,this framework significantly enhances XSS attack detection.Our approach,which includes rigorous feature engineering and model tuning,not only optimizes accuracy but also effectively minimizes false positives(FP)(0.13%)and false negatives(FN)(0.19%).This comprehensive methodology has been rigorously validated,achieving an unprecedented accuracy of 99.87%.The proposed system is scalable and efficient,capable of adapting to the increasing number of web applications and user demands without a decline in performance.It demonstrates exceptional real-time capabilities,with the ability to detect XSS attacks dynamically,maintaining high accuracy and low latency even under significant loads.Furthermore,despite the computational complexity introduced by the hybrid ensemble approach,strategic use of parallel processing and algorithm tuning ensures that the system remains scalable and performs robustly in real-time applications.Designed for easy integration with existing web security systems,our framework supports adaptable Application Programming Interfaces(APIs)and a modular design,facilitating seamless augmentation of current defenses.This innovation represents a significant advancement in cybersecurity,offering a scalable and effective solution for securing modern web applications against evolving threats.展开更多
The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient...The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient times.The ancient Luo Yue stone inscription1 is a popular ancient script from four to six thousand years ago,and 17,496 characters have been found,which is the earliest script found on the Chinese land so far.A comparative study of Chinese zodiac characters2 between the ancient Luo Yue stone inscriptions and the oracle bone through paleographic conformation reveals that the two characters have the same and similar characteristics.Therefore,this paper intends to further investigate the kinship between the two,and to conduct a preliminary exploration of the origin,development,and evolution of the zodiac by combining recent human archaeological data,emerging molecular anthropological data,historical literature,and data from the Chinese Civilization Exploration Project,in an attempt to show the integration and dependence of Chinese civilization,the pluralistic pattern of Chinese culture,and the Chinese nation for thousands of years.展开更多
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2024R513),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Cross-Site Scripting(XSS)remains a significant threat to web application security,exploiting vulnerabilities to hijack user sessions and steal sensitive data.Traditional detection methods often fail to keep pace with the evolving sophistication of cyber threats.This paper introduces a novel hybrid ensemble learning framework that leverages a combination of advanced machine learning algorithms—Logistic Regression(LR),Support Vector Machines(SVM),eXtreme Gradient Boosting(XGBoost),Categorical Boosting(CatBoost),and Deep Neural Networks(DNN).Utilizing the XSS-Attacks-2021 dataset,which comprises 460 instances across various real-world trafficrelated scenarios,this framework significantly enhances XSS attack detection.Our approach,which includes rigorous feature engineering and model tuning,not only optimizes accuracy but also effectively minimizes false positives(FP)(0.13%)and false negatives(FN)(0.19%).This comprehensive methodology has been rigorously validated,achieving an unprecedented accuracy of 99.87%.The proposed system is scalable and efficient,capable of adapting to the increasing number of web applications and user demands without a decline in performance.It demonstrates exceptional real-time capabilities,with the ability to detect XSS attacks dynamically,maintaining high accuracy and low latency even under significant loads.Furthermore,despite the computational complexity introduced by the hybrid ensemble approach,strategic use of parallel processing and algorithm tuning ensures that the system remains scalable and performs robustly in real-time applications.Designed for easy integration with existing web security systems,our framework supports adaptable Application Programming Interfaces(APIs)and a modular design,facilitating seamless augmentation of current defenses.This innovation represents a significant advancement in cybersecurity,offering a scalable and effective solution for securing modern web applications against evolving threats.
文摘The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient times.The ancient Luo Yue stone inscription1 is a popular ancient script from four to six thousand years ago,and 17,496 characters have been found,which is the earliest script found on the Chinese land so far.A comparative study of Chinese zodiac characters2 between the ancient Luo Yue stone inscriptions and the oracle bone through paleographic conformation reveals that the two characters have the same and similar characteristics.Therefore,this paper intends to further investigate the kinship between the two,and to conduct a preliminary exploration of the origin,development,and evolution of the zodiac by combining recent human archaeological data,emerging molecular anthropological data,historical literature,and data from the Chinese Civilization Exploration Project,in an attempt to show the integration and dependence of Chinese civilization,the pluralistic pattern of Chinese culture,and the Chinese nation for thousands of years.
