Network intrusion detection aims at distinguishing the attacks on the Internet from normal
use of the Internet. It is an indispensable part of the information security system. Due to the …

Current network intrusion detection systems lack adaptability to the frequently changing
network environments. Furthermore, intrusion detection in the new distributed architectures …

An unauthorized activity on the network is called network intrusion and device or software
application which monitors the network parameters in order to detect such an intrusion is …

Edge nodes are crucial for detection against multitudes of cyber attacks on Internet-of-
Things endpoints and is set to become part of a multi-billion industry. The resource …

Modern distributed systems are characterized by complex deployment designed to ensure
high availability through replication and diversity, to tolerate the presence of failures and to …

Network intrusion detection often finds a difficulty in creating classifiers that could handle
unequal distributed attack categories. Generally, attacks such as Remote to Local (R2L) and …

Semi-supervised learning is characterized by using the additional information from the
unlabeled data. In this paper, we compare two semi-supervised algorithms for deep neural …

As redes definidas por software (SDN) representam uma nova arquitetura de rede que
fornece controle central sobre a rede. Ela é caracterizada pela separação entre o plano de …

With the increasing requirements of fast response and privacy protection, how to detect
network intrusions in a distributed architecture becomes a hot research area in the …

Networks have the problem of security attacks like denial of service attacks and others. The
firewalls and encrypted software's does not provide a complete security solution for those …