An accurate and efficient algorithm to identify malicious nodes of a graph
R Gaeta - IEEE Transactions on Information Forensics and …, 2023 - ieeexplore.ieee.org
The identification of misbehaving elements in a distributed system is an important task in
many diverse settings that can be represented as graphs; this problem can be cast as the …
many diverse settings that can be represented as graphs; this problem can be cast as the …
Exploring Graph Partitioning Techniques for GNN Processing on Large Graphs: A Survey
CA Panicker, M Geetha - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Graph Neural Networks (GNNs) have evolved as a powerful tool for understanding and
processing graphical data. However, their effectiveness is often hindered by the …
processing graphical data. However, their effectiveness is often hindered by the …
Data Science in Cybersecurity to Detect Malware-Based Domain Generation Algorithm: Improvement, Challenges, and Prospects
M Hassaoui, M Hanini… - Journal of Computational …, 2022 - ojs.bonviewpress.com
Nowadays, the malware communicates with command and control servers using domains
generated algorithmically. Domain generation algorithms (DGAs) are continually evolving …
generated algorithmically. Domain generation algorithms (DGAs) are continually evolving …