Deep Reinforcement Learning (DRL) is an essential subfield of Artificial Intelligence (AI),
where agents interact with environments to learn policies for solving complex tasks. In recent …

The widespread adoption of blockchain technology has amplified the spectrum of potential
threats to its integrity and security. The ongoing quest to exploit vulnerabilities emphasizes …

Owing to the incremental and diverse applications of cryptocurrencies and the continuous
development of distributed system technology, blockchain has been broadly used in fintech …

Selfish mining attacks sabotage the blockchain systems by utilizing the vulnerabilities of
consensus mechanism. The attackers' main target is to obtain higher revenues compared …

Selfish mining attacks get a high prize due to the additional rewards unproportionate to their
mining power (mining pools have particular advantages). Generally, this category of attacks …

Blockchain-enabled distributed networks present a new infrastructure for building reliable
and privacy-preserving healthcare utilities. Among them, Ethereum networks have gained …

The last few years have witnessed the widespread use of blockchain technology in several
works, due to its effectiveness in terms of privacy, security, and trustworthiness. However, the …

For the classification of fine-grained images, the subtle differences among the subclasses of
the main category must be distinguished. Intuitively, the key to realizing the fine-grained …

Currently, the use of biosensor-enabled mobile healthcare workflow applications in mobile
edge-cloud-enabled systems is increasing progressively. These applications are …

The development of Internet of Things (IoT) and Mobile Edge Computing (MEC) has led to
close cooperation between electronic devices. It requires strong reliability and …