The prevalence of Internet of Things (IoT) devices and increasing cyber-attacks, especially
Advanced Persistent Threats (APTs), require automating the forensics investigation process …

In present times, the Internet of Things (IoT) is becoming the new era in technology by
including smart devices in every aspect of our lives. Smart devices in IoT environments are …

With the prevalence of Internet of Things (IoT) systems, inconspicuous everyday household
devices are connected to the Internet, providing automation and real-time services to their …

Abstract The Internet of Things (IoT) has recently gained importance in many fields. The use
of IoT in different fields leads to an increase in a wide variety of network attacks. Many …

Cybercrimes are increasing rapidly throughout the world, leading to financial losses and
compromising the integrity and confidentiality of private data. Statistics showed that …

This paper discovers IoT (Internet of Things) forensics and how the deep learning is
improving the efficiency of digital investigations. With the exponential growing of IoT …

This work presents a collaborative and trust assurance model for network attack detection
using Federated Learning (FL) in edge computing environments. This study leverages the …

Federated learning (FL) has recently become an effective approach for cyberattack detection
systems, especially in Internet of Things (IoT) networks. By distributing the learning process …

Internet of Things is rapidly changing the human lives to bring convenience in domestic,
public and industrial environments spanning across multiple application domains. At the …

Recently, federated learning has been used by Network Intrusion Detection Systems
(NIDSs) to expanding data features while preserving data privacy. However, non …