Network traffic anomaly detection based on deep learning: a review
Network traffic anomaly detection has become an important research topic with the increasing prevalence of network attacks. Deep learning, with its ability to analyse large-scale datasets, has emerged as a powerful tool for network traffic anomaly ...
Attack and defense simulation platform for satellite networks based on Mininet
The LEO satellite network has attracted a lot of attention due to its low latency and low link loss. However, its security has not received enough attention. In this context, we propose a LEO satellite network attack and defense simulation platform ...
Research on econometric safety model for export structure of manufacturing industry
China's export structure is gradually changing from labour-intensive products to technology-intensive products. It is of great significance to deeply analyse the impact of continuous increases in investment in research and invention on the changes in the ...
ISWM: an information security system for water surface oil spill monitoring based on NB-IoT
The detection of marine oil spills is of great significance for protecting marine water resources and the environment. This paper proposes an oil spill monitoring platform (ISWM) based on multiple technologies. To address the challenges of the large ...
An efficient deep learning approach for identifying interstitial lung diseases using HRCT images
Interstitial lung disease (ILD) encompasses over 200 fatal lung disorders affecting the interstitium, leading to significant mortality rates. We propose an AI-driven approach to diagnose and classify ILD from high-resolution computed tomography (HRCT) ...
Study on the capacity of a hybrid solar PV/wind turbine system using small-scale prototype application for dairy farm power demand in North Texas
Renewable energy systems are increasing in power production and efficiency, as the need for clean energy sources continues to increase. The purpose of this research is to design and analyse an integrated hybrid system that provides a continuous power ...
A context-aware factorisation machine approach for accurate QoS prediction
Web services are very popular in constructing software systems on the internet. With the increasing number of web services with similar functionalities, quality of service (QoS) becomes a crucial concern in web service selection. However, QoS values of ...
Availability assessment and sensitivity analysis of an MBaaS platform
The OpenMobster platform offers services for the mobile cloud in a complete way. However, OpenMobster's availability requires attention. Analytical models are usually used to evaluate the dependability of a system, enabling the reduction of downtime and ...
A light-weight model with granularity feature representation for fine-grained visual classification
Fine-grained image recognition can provide a more precise recognition technique for industrial production and applications. However, since it is difficult to capture comprehensive features and discriminative regions in convolutional neural networks (CNN),...
Supervised learning models to predict mental illness and its severity from Reddit posts
Given the growing popularity of free dialogue on social media, this paper presents a methodology for identifying mental illnesses from Reddit posts where users describe their experiences with illnesses like bipolar disorder, borderline personality ...
Integer wavelet transform based data hiding scheme for electrocardiogram signals protection
A significant security and protection concern in telemedicine at the moment is how to secure the confidentiality of sensitive data delivered over the Internet and limit access to designated information. In this paper, we propose medical ECG data privacy ...
