The growing popularity of social networks and their easy acceptance of new users have the
unintended consequence of fostering an environment where anonymous users can act in …

Several distributed system paradigms utilize Distributed Hash Tables (DHTs) to realize
structured peer-to-peer (P2P) overlays. DHT structures arise as the most commonly used …

Malicious web links, social rumors, fraudulent advertisements, faked comments, and biased
propaganda are overwhelmingly influencing online social networks. Enabling information …

Federated learning is a popular distributed machine learning model where a centralized
server orchestrates many distributed clients to coordinate the completion of model training or …

Disinformation in social networks has been a worldwide problem. Social users are
surrounded by a huge volume of malicious links, biased comments, fake reviews, or …

The huge amount of social spam from large-scale social networks has been a common
phenomenon in the contemporary world. The majority of former research focused on …

The COVID-19 pandemic has bringing the “infodemic” in the social media worlds. Various
social platforms play a significant role in instantly acquiring the latest updates of the …

The ongoing COVID-19 pandemic is bringing an “infodemic” on social media.
Simultaneously, the huge volume of misinformation (such as rumors, fake news, spam posts …

it becomes an insightful place for analysis and to understanding people's perception on
something. A logistic mutation-based genetic algorithm is proposed for the feature extraction …

The past few years have seen dramatic growth in the popularity of public clouds, such as
Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Container-as-a …