The continued ability to detect malicious network intrusions has become an exercise in
scalability, in which data mining techniques are playing an increasingly important role. We …

Today's internet data primarily consists of streamed data from various applications like
sensor networks, banking data and telecommunication data networks. A new field of study …

The prosperity of technology worldwide has made the concerns of security tend to increase
rapidly. The enormous usage of Internetworking has raised the need of protecting systems …

Aiming at the shortage of classic ID3 decision tree and C4. 5 decision tree algorithm in
ability of time series data mining, this paper increases Bayesian classification algorithm in …

Most machine learning models used in network intrusion detection system (IDS) studies are
batch models which require all targeted intrusions to be present in the training data. This …

Data stream mining has become a research hotspot in data mining and has attracted the
attention of many scholars. However, the traditional data stream mining technology still has …

Depending on the use of the Internet and network, data-stream classification has been
applied in the intrusion detection field. Due to unlimited and difficult storage features, the …

The term “big data” originated in light of the exponential expansion of global data as a
technology capable of storing and handling massive volumes of data, providing companies …

The enormous development in the connectivity among different type of networks poses
significant concerns in terms of privacy and security. As such, the exponential expansion in …

The Internet has become such an important part of people's lives that they can't live without
it. It helps people with business, education, and entertainment, among other things, on …