Internet of Things security is attracting a growing attention from both academic and industry
communities. Indeed, IoT devices are prone to various security attacks varying from Denial …

To explore the advantages of adversarial learning and deep learning, we propose a novel
network intrusion detection model called SAVAER-DNN, which can not only detect known …

Big data task scheduling in cloud computing environments has gained considerable
attention in the past few years, due to the exponential growth in the number of businesses …

Existing cyber security solutions have been basically developed using knowledge-based
models that often cannot trigger new cyber-attack families. With the boom of Artificial …

With the widespread of Artificial Intelligence (AI)-enabled security applications, there is a
need for collecting heterogeneous and scalable data sources for effectively evaluating the …

In recent times, the world has come to rely greatly on the Internet and the services that it
provides. As such, it should come as no surprise that innovations that harness the …

Due to the rapid growth of internet services, the demand for protection and security of the
network against sophisticated attacks is continuously increasing. Nowadays, in network …

Today, an intelligent intrusion detection system is very important to enable high-level
security in Networks to protect private and highly sensitive information. Nowadays, an …

Cybersecurity data remains a challenge for the machine learning community as the high
volume of traffic makes it difficult to properly disambiguate anomalous from normal …

Network anomaly detection aims to identify network anomalies, and it has obtained many
achievements using the supervised classification technique. Since the supervised classifier …