Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …

With the advance in technology, now a day's cyber-attack is more sophisticated which is not
easily detected by the any intrusion detection system (IDS). Since most of the user store their …

The Authorship Attribution (AA) is considered as a subfield of authorship analysis and it is an
important problem as the range of anonymous information increased with fast-growing of …

Data stream mining is an important research topic that has received increasing attention due
to its use in a wide range of applications, such as sensor networks, banking, and …

Featured Application The proposed drift detector can be applied in areas such as intrusion
detection, fraud detectors or monitoring and forecasting traffic. Abstract A data stream can be …

In this article, we use a Kullback-Leibler random sample partition data model to generate a
set of disjoint data blocks, where each block is a good representation of the entire data set …

Ensemble of classifiers can improve classification accuracy by combining several models.
The fusion method plays an important role in the ensemble performance. Usually, a criterion …

Internet attacks pose a severe threat to most of the online resources and are a prime
concern of security administrators these days. In spite of many efforts, the security …

Concept Drift is one of the most challenging issues in various applications such as fraud
detection, spam filtering and sensor networks, causing the performance degradation of …

In this work, we addressed the issue of combining linear classifiers using their score
functions. The value of the scoring function depends on the distance from the decision …