Almost 85% of companies polled said they were looking into anomaly detection (AD)
technologies for their industrial image anomalies. The present problem concerns detecting …

As energy consumption continues to rise due to technological advancements and the
increasing adoption of electric vehicles, the need for efficient energy management in smart …

The spread of cyberthreats in the digital age presents serious concerns to national security,
the stability of the economy, and personal privacy. Traditional security methods are unable …

Abstract Internet of Things (IoT) security is paramount for enterprises, as it includes several
strategies, techniques, actions, and protocols that aim to alleviate the high vulnerability of …

Federated learning is presented as an effective solution to train artificial intelligence models
on the Internet of Things networks without centralizing data, thus preserving privacy and …

The behavior of devices connected to an Internet of Things (IoT) needs to be monitored to
identify anomalous nodes. In this paper, we propose a protocol for anomaly detection that …

The proliferation of social media platforms has revolutionized the way individuals interact,
communicate, and share information online. With billions of users worldwide engaging in …

It is predicted that artificial intelligence may have serious impacts on the governance of the
future. For this reason, all countries have started to make changes and transformations in …

Graph-level anomaly detection (GLAD) has attracted significant attention due to its practical
applications in various real-world domains. Unlike other graph anomaly detection tasks such …

Nowadays, digital and electronic transactions and electronic payments systems in modern
days have become convenient but now it is a major challenge to face credit card fraud …