With the rapid development of the Internet of Things (IoT), there are several challenges
pertaining to security in IoT applications. Compared with the characteristics of the traditional …

An efficient machine learning (ML) ensemble technique for categorizing Intrusion Detection
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …

Devices connected to the Internet of Things (IoT) are growing in popularity across multiple
industries. IoT links intelligent homes, buildings, businesses, and communities, and also …

Abstract The Internet of Things (IoT) has become one of the dynamic and fascinating fields of
research with new technology emerging. This can be explained by the ever-rising …

The emergence of the Internet of Things (IoT) has witnessed immense growth globally with
the use of various devices found in home, transportation, healthcare, and industry. The …

Over the last two years, the number of cyberattacks has grown significantly, paralleling the
emergence of new attack types as intruder's skill sets have improved. It is possible to attack …

Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …

Due to the rapid growth of technologies, the internet of things become an important research
topic, which can ensure collecting and transferring data over the network between …

Abstract Internet of Things (IoT) enabled networks are highly vulnerable to cyber threats due
to insecure wireless communication, resource constraint architecture, different types of IoT …

The security of IoT networks is an important concern to researchers and business owners,
which is taken into careful consideration due to its direct impact on the availability of the …