5 citations · 15 across the 13 of their papers we have counts for
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cs.CR2026
Rethinking On-Device LLM Reasoning: Why Analogical Mapping Outperforms Abstract Thinking for IoT DDoS Detection
William Pan, Guiran Liu, Binrong Zhu +4
The rapid expansion of IoT deployments has intensified cybersecurity threats, notably Distributed Denial of Service (DDoS) attacks, characterized by increasingly sophisticated patt…
cs.CR2025★ 1 cited
Efficient Phishing URL Detection Using Graph-based Machine Learning and Loopy Belief Propagation
Wenye Guo, Qun Wang, Hao Yue +2
The proliferation of mobile devices and online interactions have been threatened by different cyberattacks, where phishing attacks and malicious Uniform Resource Locators (URLs) po…
cs.CR2022★ 2 cited
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
Qun Wang, Haijian Sun, Rose Qingyang Hu +1
The exponential growth of internet connected systems has generated numerous challenges, such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions. C…