Anomaly detection is an important problem with multiple applications, and thus has been
studied for decades in various research domains. In the past decade there has been a …

Today, the Internet security community largely emphasizes cyberspace monitoring for the
purpose of generating cyber intelligence. In this paper, we present a survey on darknet. The …

Electrical power grids are vulnerable to cyber attacks, as seen in Ukraine in 2015 and 2016.
However, existing attack detection methods are limited. Most of them are based on power …

Analyzing network topologies and communication graphs is essential in modern network
management. However, the lack of a cohesive approach results in a steep learning curve …

How to spot and summarize anomalies in dynamic networks such as road networks,
communication networks and social networks? An anomalous event, such as a traffic …

高级持续性威胁(APT, advanced persistent threat) 已成为高安全等级网络的最主要威胁之一,
其极强的针对性, 伪装性和阶段性使传统检测技术无法有效识别, 因此新型攻击检测技术成为 …

DDoS attack detection methods play a very important role in protecting computer network
security. However, the existing flow-based DDoS attack detection methods face the non …

Recently, federated learning has been used by Network Intrusion Detection Systems
(NIDSs) to expanding data features while preserving data privacy. However, non …

The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has
caused severe consequences on society. Securing cyberspace has become a great concern …

With the trend of developing more and more applications for Unmanned Aerial Vehicles
(UAV), several research projects have considered new missions where single UAVs are …