Considering the increasing and widespread use of chatbots, it is of great importance to provide methods and tools to address ethical concerns and to make users aware of various aspects of a chatbot, including non-func...
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Deep brain stimulation (DBS) systems have emerged as promising therapy for various neurological disorders, providing means to deliver electrical stimulation directly to targeted regions of the brain. However, the long...
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Cross-Site Scripting(XSS)remains a significant threat to web application security,exploiting vulnerabilities to hijack user sessions and steal sensitive *** detection methods often fail to keep pace with the evolving ...
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Cross-Site Scripting(XSS)remains a significant threat to web application security,exploiting vulnerabilities to hijack user sessions and steal sensitive *** detection methods often fail to keep pace with the evolving sophistication of cyber *** 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 *** 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 *** demonstrates exceptional real-time capabilities,with the ability to detect XSS attacks dynamically,maintaining high accuracy and low latency even under significant ***,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 *** 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 *** innovation represents a significant advancement in cybersecurity,offering a scalable and effective solution for securing modern web applications against evolving threats.
Recent innovations in network virtualization have made it possible to support multiple tenants, or 'virtual net-works;' on a single physical infrastructure. This is feasible due to the decoupling of network se...
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The outbreak of wildfires due to undetected arc-flash faults poses serious safety hazards to the New Zealand power system and community, resulting in fatalities and infrastructure damage. The consequences of arc-flash...
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In pursuit of energy efficiency goals, LEDs have been widely adopted, though considerations of discomfort remain crucial. LED luminaires with non-uniform luminous intensity distribution (LID), seems contribute to visu...
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The area of wireless power transfer (WPT) technology is developing rapidly and has a wide range of possible uses. In-depth reviews, comparisons, and analysis of power converters and compensation topologies designed es...
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The Dual-Active Bridge (DAB) converter’s versatility and ability to support bidirectional power flow make it a highly suitable option for modern power systems, especially in electric vehicle (EV) charging infrastruct...
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Incorporating solid-state transformers into EV charging stations can greatly improve their power density, reliability, efficiency, etc. This paper presents an solid state transformer (SST)-based EV charging station th...
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Solid-state batteries (SSBs) represent one of the most promising technologies for next-generation energy storage systems, offering potential advantages in safety, energy density, and longevity compared to traditional ...
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