Botnets, which are networks formed by malware-compromised machines, have become a
serious threat to the Internet. Such networks have been created to conduct large-scale …

With the continuous evolution of the Internet, as well as the development of the Internet of
Things, smart terminals, cloud platforms, and social platforms, botnets showing the …

Node classification is an important research topic in graph learning. Graph neural networks
(GNNs) have achieved state-of-the-art performance of node classification. However, existing …

We present, GEM, the first heterogeneous graph neural network approach for detecting
malicious accounts at Alipay, one of the world's leading mobile cashless payment platform …

Users increasingly rely on the trustworthiness of the information exposed on Online Social
Networks (OSNs). In addition, OSN providers base their business models on the …

Prompted by the increasing interest in networks in many fields, we present an attempt at
unifying points of view and analyses of these objects coming from the social sciences …

The success of online social networks has attracted a constant interest in attacking and
exploiting them. Attackers usually control malicious accounts, including both fake and …

Recent Botnets such as Conficker, Kraken and Torpig have used DNS based" domain
fluxing" for command-and-control, where each Bot queries for existence of a series of …

As cloud services grow to span more and more globally distributed datacenters, there is an
increasingly urgent need for automated mechanisms to place application data across these …

Recent botnets such as Conficker, Kraken, and Torpig have used DNS-based “domain
fluxing” for command-and-control, where each Bot queries for existence of a series of …