Jian Cui (Indiana University Bloomington)

Twitter has been recognized as a highly valuable source for security practitioners, offering timely updates on breaking events and threat analyses. Current methods for automating event detection on Twitter rely on standard text embedding techniques to cluster tweets. However, these methods are not effective as standard text embeddings are not specifically designed for clustering security-related tweets. To tackle this, our paper introduces a novel method for creating custom embeddings that improve the accuracy and comprehensiveness of security event detection on Twitter. This method integrates patterns of security-related entity sharing between tweets into the embedding process, resulting in higher-quality embeddings that significantly enhance precision and coverage in identifying security events.

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Understanding the Implementation and Security Implications of Protective DNS...

Mingxuan Liu (Zhongguancun Laboratory; Tsinghua University), Yiming Zhang (Tsinghua University), Xiang Li (Tsinghua University), Chaoyi Lu (Tsinghua University), Baojun Liu (Tsinghua University), Haixin Duan (Tsinghua University; Zhongguancun Laboratory), Xiaofeng Zheng (Institute for Network Sciences and Cyberspace, Tsinghua University; QiAnXin Technology Research Institute & Legendsec Information Technology (Beijing) Inc.)

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Eavesdropping on Black-box Mobile Devices via Audio Amplifier's EMR

Huiling Chen (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Wenqiang Jin (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Yupeng Hu (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Zhenyu Ning (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Kenli Li (College…

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IDA: Hybrid Attestation with Support for Interrupts and TOCTOU

Fatemeh Arkannezhad (UCLA), Justin Feng (UCLA), Nader Sehatbakhsh (UCLA)

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Evaluating Disassembly Ground Truth Through Dynamic Tracing

Lambang Akbar (National University of Singapore), Yuancheng Jiang (National University of Singapore), Roland Yap (National University of Singapore), Zhenkai Liang (National University of Singapore), Liu Zhuohao (National University of Singapore)

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