Abstract With the rapid development of the Internet, network attacks and intrusion behaviors are becoming increasingly serious, and computer security issues have attracted much attention. In order to effectively respond to network attacks, researchers in the field of computer security have proposed various intrusion detection technologies. This article studies the application of intrusion detection technology based on Bayesian networks in computer... With the rapid development of the Internet, network attacks and intrusion behaviors are becoming increasingly serious, and computer security issues have attracted much attention. In order to effectively respond to network attacks, researchers in the field of computer security have proposed various intrusion detection technologies. This article studies the application of intrusion detection technology based on Bayesian networks in computer security forensics analysis. By constructing a Bayesian network model, analyzing and inferring data such as network traffic and system logs, the detection and forensics of network intrusion behavior have been achieved. This method has the advantages of efficiency, accuracy, and adaptability, and can provide important technical support for the field of computer security. Read More Read Less

Abstract The cloud is a new technology for the delivery of web applications. However, there is little literature on the impact of distributed denial-of-service (DDOS) attacks on clouds and the performance of other types of attacks against a welldesigned cloud architecture. So, is cloud resilience enough to be a solution? Or will traditional web architectures with caching and reverse proxy always... The cloud is a new technology for the delivery of web applications. However, there is little literature on the impact of distributed denial-of-service (DDOS) attacks on clouds and the performance of other types of attacks against a welldesigned cloud architecture. So, is cloud resilience enough to be a solution? Or will traditional web architectures with caching and reverse proxy always be better? This paper attempts to answer these questions by testing two architectures: SlapOS vs. architecture with nginx pre-configured and a few web servers behind the architecture against various types of DDOS attacks, including slowloris and RA flood attacks. Read More Read Less

Abstract Financial risk control is an important link in enterprise risk management. Traditional financial risk control methods often rely on experience and intuition, lacking scientific validity and accuracy. In recent years, with the improvement of financial data availability, more researchers have begun using data mining and machine learning technologies for financial risk control. This article studies how to control financial risks... Financial risk control is an important link in enterprise risk management. Traditional financial risk control methods often rely on experience and intuition, lacking scientific validity and accuracy. In recent years, with the improvement of financial data availability, more researchers have begun using data mining and machine learning technologies for financial risk control. This article studies how to control financial risks using an optimized Z-Score financial warning model. We have adopted data mining and machine learning methods to improve the traditional ZScore model and propose a new optimization model to predict financial risks more accurately and effectively control risks. Read More Read Less