Detection and prevention of intrusions in enterprise networks and systems is an important,
but challenging problem due to extensive growth and usage of networks that are constantly …

In recent years, advancements in the field of the artificial intelligence (AI) gained a huge
momentum due to the worldwide appliance of this technology by the industry. One of the …

In today's interconnected society, cyberattacks have become more frequent and
sophisticated, and existing intrusion detection systems may not be adequate in the complex …

The Industrial Internet of Things (IIoT) should be equipped with computational resources to
detect network intrusions, types of attacks, and update their models automatically in real …

Network intrusion detection is one of the main problems in ensuring the security of modern
computer networks, Wireless Sensor Networks (WSN), and the Internet-of-Things (IoT). In …

In this work, we apply a two stage anomaly-based network intrusion detection process using
the UNSW-NB15 dataset. We use Recursive Feature Elimination and Random Forests …

Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS)
play a critical role in protecting interconnected networks by detecting malicious actors and …

Network attack is a significant security issue for modern society. From small mobile devices
to large cloud platforms, almost all computing products, used in our daily life, are networked …

Network intrusion detection is an essential means to ensure the security of the network
information system. In the real network, abnormal behaviors occur much less frequently than …

Cyber security has recently garnered enormous attention due to the popularity of the Internet
of Things (IoT), intelligent devices' rapid growth, and a vast number of real-life applications …