Software-defined wireless mesh networks are being increasingly deployed in diverse
settings, such as smart cities and public Wi-Fi access infrastructures. The signal propagation …

Anomaly detection is emerging as a necessary component as wireless networks gain
popularity. Anomaly detection has been addressed broadly in wired networks and powerful …

As the number of wireless end and edge devices increases, so does the volume of data to
be monitored in view of predicting or detecting malfunctions. Furthermore, as the networks …

In the last decade the performances of 802.11 (Wi‐Fi) devices skyrocketed. Today it is
possible to realize gigabit wireless links spanning across kilometers at a fraction of the cost …

This paper presents a highly efficient and accurate link-quality measurement framework,
called efficient and accurate link-quality monitor (EAR), for multihop wireless mesh networks …

As one of the backup measures of intrusion prevention techniques, intrusion detection plays
a paramount role in the second defense line of computer networks. Intrusion detection in …

Anomaly detection is becoming a powerful and necessary component as wireless networks
gain popularity. In this paper, we evaluate the efficacy of PCA based anomaly detection for …

This paper presents a highly efficient and accurate link-quality measurement framework,
called EAR (Efficient and Accurate link-quality monito R), for multi-hop wireless mesh …

Wireless community networks, WCN, have proliferated around the world. Cheap off-the-shelf
WiFi devices have enabled this new network paradigm where users build their own network …

In this paper, we present a new approach for detecting wireless link layer anomalies in large-
scale IoT networks based on graph neural networks (GNN). We propose a method that …