Showing papers in "Computer Networks in 2022"

TL;DR: In this article, the authors propose an approach based on machine learning and sentence embedding techniques with the primary goal of providing privacy awareness to users and, as a consequence, full control over their data during online activities.

TL;DR: In this article, the authors proposed a new intrusion detection model based on stream learning with delayed model updates to make the model update task feasible with a twofold implementation: first, the model maintains the intrusion detection accuracy through a classification assessment approach, even with outdated underlying ML models.

TL;DR: Wang et al. as discussed by the authors proposed a blockchain-native mechanism supporting complex physical assets, including a novel digital asset model and transaction validity guarantee protocol, which can fully describe different associations and their influence on the transaction execution order.