Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Modernization and technological advancement have made smart and convenient living
environments, including smart houses and smart cities, possible, by combining the Internet …

Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective
statistical network characterization; nevertheless, the intrusion class differentiation …

The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …

In this paper we propose the use of large language models (LLMs) for characterizing,
clustering, and fingerprinting raw text obtained from network measurements. To this end, We …

Device identification (DI) is one way to secure a network of Internet of Things (IoT) devices,
whereby devices identified as suspicious can subsequently be isolated from a network. In …

Engineered systems get smarter with computing capabilities, particularly through a multitude
of Internet-of-Things (IoT) devices. IoT devices, however, are prone to be compromised as …

Activity recognition using video data is widely adopted for elder care, monitoring for safety
and security, and home automation. Unfortunately, using video data as the basis for activity …

Internet of Things (IoT) devices deployed in publicly accessible locations increasingly
encounter security threats from device replacement and impersonation attacks …