Cognitive Graph Intelligence for Adaptive and Robust DDoS Attack Detection in Ne
arXiv:2603.22365v1 Announce Type: cross Abstract: With the rapid growth of interconnected devices, accurately detecting malicious activities in network traffic has become
arXiv:2503.17867v2 Announce Type: replace-cross Abstract: Distributed Denial of Service attacks represent an active cybersecurity research problem. Recent research shifted from
arXiv:2606.17109v1 Announce Type: cross Abstract: Given their effectiveness in modeling the relational structure among network traffic flows, graph neural networks (GNNs) have
arXiv:2602.05817v2 Announce Type: cross Abstract: The rapid expansion of Internet of Things (IoT) ecosystems has led to increasingly complex and heterogeneous network topologies.
arXiv:2605.00482v1 Announce Type: cross Abstract: Mobile network operators must monitor thousands of heterogeneous network elements across the radio access network and the packet
arXiv:2610.04019v1 Announce Type: new Abstract: Graph based cyber attack detection studies employ various graph construction and representation strategies across different
arXiv:2603.25763v1 Announce Type: cross Abstract: The Internet of Vehicles (IoV) has become an essential component of smart transportation systems, enabling seamless interaction
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