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Found 7 papers, 2 papers with code
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks
Nevertheless, addressing CD in dynamic graphs remains an open problem, since the evolution of the network connections may poison the identification of communities, which may be evolving at a slower pace.
Sound-skwatter (Did You Mean: Sound-squatter?) AI-powered Generator for Phishing Prevention
Sound-squatting is a phishing attack that tricks users into malicious resources by exploiting similarities in the pronunciation of words.
LogPrécis: Unleashing Language Models for Automated Malicious Log Analysis
In this paper, we systematically study how to benefit from the state-of-the-art in LM to automatically analyze text-like Unix shell attack logs.
Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources
The Reading&Machine project exploits the support of digitalization to increase the attractiveness of libraries and improve the users' experience.
Understanding mobility in networks: A node embedding approach
Motivated by the growing number of mobile devices capable of connecting and exchanging messages, we propose a methodology aiming to model and analyze node mobility in networks.
RL-IoT: Reinforcement Learning to Interact with IoT Devices
RL-IoT paves the road for automatic interactions with poorly documented IoT protocols, thus enabling interoperable systems.
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis
The application of unsupervised learning approaches, and in particular of clustering techniques, represents a powerful exploration means for the analysis of network measurements.
