To address the slow response time of existing detection modules to the Internet of Things
(IoT) Distributed Denial of Service (DDoS) attacks, along with their low feature differentiation …

The rapid development of information technology has brought much convenience to human
life, but more network threats have also come one after another. Network security situation …

Consumer data in e-commerce platforms relies heavily on Internet of Things (IoT) devices,
which bring forth numerous security threats. As an emerging proactive defense technology …

In order to improve the accuracy of network security situation prediction and the
convergence speed of prediction algorithm, this paper proposes a combined prediction …

Convolutional neural networks have been widely used in intrusion detection and proactive
network defense strategies such as network security situation prediction (NSSP). The …

Since the beginning of the 21st century, the development of computer networks has been
advancing rapidly, and the world has gradually entered a new era of digital connectivity …

With the development of information and network technology, all kinds of network attacks
have also brought more and more serious threats to network security, and network security …

针对现有检测方法对物联网(IoT) 分布式拒绝服务(DDoS) 攻击响应速度慢, 特征差异性低,
检测性能差等不足, 提出了一种基于流量特征重构与映射的单流检测方法(SFDTFRM). 首先 …

With the vigorous development of Internet of Things (IoT) applications, many IoT applications
based on IoTtalk, such as EduTalk, ScratchTalk, and other X-Talk systems, have been …

云制造系统(Cloud Manufacturing System, CMS) 的网络安全对当今制造业影响重大,
因此对于云制造系统进行网络安全态势预测(Network Security Situation Prediction, NSSP) …