… and zero-day anomalies. This paper proposes an efficient anomaly detection mechanism
using mutual information (MI), considering a deep neural network (DNN) for an IoT network. A …

… IoT anomaly detection has a wide range of applications … The literature on the subject of
anomaly detection in the IoT is … and an ensembler component with a high-level architecture. …

… Summing up, this paper presents a new approach to anomalies detection in IoT networks
as follows: • First, the general architecture reflects the networking reference models principles, …

… To create a connection and extend IoT's services at each doorway, the IoT architecture is a
… layers of the IoT architecture [23,27]. A typical IoT architecture mainly comprises three layers: …

… In particular, in IoT environments, anomaly detection very often … , we focus on the IoT time
series anomaly detection problem by … Standardization: standardization of IoT architecture and …

… We compare our model with other state-of-the-art deep learning architectures for anomaly
detection: RBM, SAE, and SDAE. As can be seen in Fig. 11, our model yields increased …

… In this work, we augment the CIoT architecture with anomaly detection capabilities at the
IoT devices (edge) and the mobile core network servers (fog). Before going to details, we first …

… IoT systems and services agnostic to underlying applications and sensors are still at infancy
[1]. In generalized view IoT analytics architecture… normally connects IoT platform through …

… hybrid anomaly detection system (ADS) for IoT. The proposed system utilizes cloud computing
to detect anomalies … This architecture allows the IoT devices to detect anomalies in a local …

… In this section, we first describe our tailored Centralized and Distributed anomaly
detection schemes to use with the Fog architecture, and then propose the Fog-Empowered …