With the rapid growth of renewable energy resources, energy trading has been shifting from
the centralized manner to distributed manner. Blockchain, as a distributed public ledger …

With the proliferation of smart devices capable of communicating over a network using
different protocols, each year more and more successful attacks are recorded against these …

Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

Abstract Machine Learning (ML) plays very significant role in the Internet of Things (IoT)
cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms …

With the development of Internet-of-Things (IoT) technology, various types of information,
such as social resources and physical resources, are deeply integrated for different …

Fog/edge computing has been proposed to be integrated with Internet of Things (IoT) to
enable computing services devices deployed at network edge, aiming to improve the user's …

Machine learning (ML) techniques have been widely used in many smart city sectors, where
a huge amount of data is gathered from various (IoT) devices. As a typical ML model …

A secure digital evidence system should ensure that evidence cannot be tampered with and
that private information cannot be leaked. Blockchain, a distributed tamper-resistant and …

Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …

The Internet of Things is a novel paradigm with access to wireless communication systems
and artificial intelligence technologies, which is considered to be applicable to a variety of …