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 …

Darknet monitoring provides us an effective way to countermeasure cyber attacks that pose
a significant threat to network security and management. This paper aims to characterize the …

We describe a schema matching algorithm EXSMAL that automates the semantic
correspondence discovery between the EDI (electronic data interchange) messages of …

Large-scale cyber attack traffic can present challenges to identify which packets are relevant
and what attack behaviors are present. Existing works on Host or Flow Clustering attempt to …

Internet services are often exposed to many kinds of threats such as the distributed denial of
service (DDoS), viruses, and worms. Since these threats cause an adverse effect on the …

This paper proposes an Entropy-Mahalanobis-based methodology to detect certain
anomalies in IP traffic. The balanced estimator II is used to model the normal behavior of two …

The analysis of the multivariate dynamic information contained in the observed data of
automobile build has been one of the significant and interesting topics. In this paper, we …

Cyberspace has become a massive battlefield between computer criminals and computer
security experts. In addition, large-scale cyber attacks have enormously matured and …

Based on the problem that when BP neural network is used in grain yield prediction, if the
input space is too self relevant, the predicting accuracy of BP neural network would drop …

Raw Cyber attack traffic can present more questions than answers to security analysts.
Especially with large-scale observables it is difficult to identify which packets are relevant …