Smart cities have brought significant improvements in quality of life and services to citizens
and urban environments. They are fully enabled to control the physical objects in real time …

Traditionally, energy consumers pay non-commodity charges (eg, transmission,
environmental and network costs) as a major component of their energy bills. With the …

Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …

Abstract False Data Injection Attack (FDIA) is one of the most dangerous cyber attacks
against smart power grids, as it could cause severe physical and economic damage. In this …

Peer-to-peer energy-trading platforms (P2P) have the potential to transform the current
energy system. However, research is presently scarce on how people would like to …

Due to the lack of improper access control policies and decentralized access controllers,
security and privacy-aware peer-to-peer (P2P) energy trading among electric vehicles (EVs) …

While maximizing distributed energy value, direct electricity trading introduces strong
interactive features, leading to conflicting interests among users. A key challenge is …

Blockchain (BC) is becoming a key technology in securing future businesses and economic
competition around the world. It is seen as an enabler for trust and security in the growing …

People and urban economies have benefited greatly from smart cities' better quality of life
and services. They have complete power over physical objects in real-time and can provide …

With the growth of connectivity to smart grids, new applications, and the changing interaction
between customer and energy clouds, clouds are more vulnerable to denial-of-service …