The chapter presents an approach to cybersecurity data analysis based on the combination
of a set of machine learning methods and Big Data technologies for network attack and …

Establishing an effective defense strategy in IT security is essential on one hand, but very
challenging on the other hand. According to the 2014 Cyberthreat Defence Report [1] that …

Rapid developments in network technologies and the amount and scope of data transferred
on networks are increasing day by day. Depending on this situation, the density and …

Distributed cyber attacks represent a special class of attacks on computer networks and
systems which is rather difficult to detect. In many respects it is explained by the complexity …

Big Data analytics for intrusion detection is an important topic in cybersecurity. Network flows
and system events generate big data, which often leads to challenges in intrusion detection …

Network security can be defined as the act of protecting any given network against threats
that may lead to the availability of the network to be compromised. Moreover, we can also …

Currently, information technology is used in all the life domains. Many devices and
equipment produce data and transfer them across the network. These transfers are not …

Big data scenarios are characterized by multiple devices, massive traffic, and high data
dimensionality. In the process of attack identification, the selection of features from massive …

With the development of new technologies such as big data, cloud computing, and the
Internet of Things, network attack technology is constantly evolving and upgrading, and …

As cyber-attacks against critical infrastructure increase and evolve, automated systems to
complement human analysis are needed. Moreover, chasing the breaches is like looking for …