In recent years, IoT devices have often been the target of Mirai Botnet attacks. This paper
develops an intrusion detection method based on Auto-Associated Dense Random Neural …

The Internet of Things (IoT) has aided in the development of new products and services. Due
to the heterogeneity of IoT items and networks, traditional techniques cannot identify network …

Internet connected IoT devices have often been particularly vulnerable to Botnet attacks of
the Mirai family in recent years. Thus we develop an attack detection scheme for Mirai …

With the number of Internet of Things (IoT) devices proliferating, the traffic volume of IoT-
based attacks has shown a gradually increasing trend. The IoT botnet attack, which aims to …

Deep Learning (DL) models can be trained to automatically learn the underlying features of
the traffic patterns in IoT networks to detect complex botnet attacks. However, the …

A novel online Compromised Device Identification System (CDIS) is presented to identify IoT
devices and/or IP addresses that are compromised by a Botnet attack, within a set of sources …

As the number of IoT devices rapidly increases, attacks targeting IoT devices also increase.
In the IoT environment, IoT devices are vulnerable to network attacks because IoT devices …

Internet of Things (IoT) is going strong and is used in almost all the fields. The advancement
in IoT technologies provides scope to improve our day-to-day life, but with this advancement …

Abstract The Internet of Things is a staple in the workplace, especially in the fields of office
automation (OA) and operational technology (OT). As a consequence, businesses may set …

The numerous security loopholes in the design and implementation of many IoT devices
have rendered them an easy target for botnet attacks. Several approaches to implement …