Abstract Software Defined Networking (SDN) is a new networking paradigm where
forwarding hardware is decoupled from control decisions. It promises to dramatically simplify …

The main task of future networks is to build, as much as possible, intelligent networking
architectures for intellectualization, activation, and customization. Software-defined …

Abstract Distributed Denial of Service (DDoS) attacks are still among the most dangerous
attacks on the Internet. With the advance of methods for detecting and mitigating these …

Keeping Internet users protected from cyberattacks and other threats is one of the most
prominent security challenges for network operators nowadays. Among other critical threats …

Keeping Internet users safe from attacks and other threats is one of the biggest security
challenges nowadays. Distributed Denial of Service (DDoS)[1] is one of the most common …

Deep Learning (DL) is increasingly being used in Software Defined Networks (SDNs) to
detect Distributed Denial of Service (DDoS) attacks because of high attack detection …

Distributed Denial of Service (DDoS) attack is one of the rapidly growing attack that threat
the networks to disrupt the network services available to the intended users. The attack is …

Existing SYN flood attack detection methods have obvious problems such as poor feature
selectivity, weak generalization ability, easy overfitting, and low accuracy during training. In …

Since the 5G is the new upcoming technology, every stakeholder is not interested in
investing on new CAPEX (capital expenditure) and OPEX (operational expenditure) …

Traditional techniques for detecting threats in mobile edge networks are limited in their
ability to adapt to evolving threats. We propose an intelligent reinforcement learning (RL) …