In this paper, we propose an efficient Recurrent Neural Network (RNN) to detect malware.
RNN is a classification of artificial neural networks connected between nodes to form a …

The detection of feasible paths helps to minimize the false positive rate. However, the
previous works did not consider the feasibility of the program paths during the analysis …

The popularity of today's web application has led to web servers frequently the objects of
webshell attacks. In this paper, we propose a new deep inspection method that is composed …

Abstract Intrusion Detection System (IDS) can reduce the losses caused by intrusion
behaviors and protect users' information security. The effectiveness of IDS depends on the …

For a long time, online attacks were regarded to pose a severe threat to web-based
applications, websites, and clients. It can bypass authentication methods, steal sensitive …

Soft set is the power tool to deal with uncertainty in a parametric manner. In applications of
soft set, one of the most important steps is to define mappings on soft sets. In this study, we …

Methods to retrieve images involve retrieving images from the database by using features of
it. They are colour, shape, and texture. These features are used to find the similarity for the …

This chapter provides a comprehensive analysis of web application vulnerability scanners,
examining their characteristics, effectiveness, and implications for web security. Through a …

During the last years, the number of cyberattacks, especially on web applications, has been
increasing. Cyber agents target both large and small companies, which is why it is …

With the continuous development of internet technology, web applications are becoming
more and more popular, and the resulting open-source code vulnerability intrusion problems …