Nidhi Rastogi, Md Tanvirul Alam (Rochester Institute of Technology)

Cyber threat intelligence (CTI) has been valuable to SOC analysts investigating emerging and known threats and attacks. However, the reach is still limited, and the adoption could be higher. While CTI has consistently proven to be a rich source of threat indicators and patterns collected by peer security researchers, other researchers have occasionally found them helpful. Challenges include intelligence in the CTI documented in an unstructured format, embedded in a large amount of text, making it challenging to integrate them effectively with existing threat intelligence analysis tools for internal system logs. In this paper, we detail ongoing research in threat intelligence extraction, integration, and analysis at different levels of granularity from unstructured threat analysis reports. We share ongoing challenges and provide recommendations to overcome them.

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Privacy-Preserving Database Fingerprinting

Tianxi Ji (Texas Tech University), Erman Ayday (Case Western Reserve University), Emre Yilmaz (University of Houston-Downtown), Ming Li (CSE Department The University of Texas at Arlington), Pan Li (Case Western Reserve University)

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PPA: Preference Profiling Attack Against Federated Learning

Chunyi Zhou (Nanjing University of Science and Technology), Yansong Gao (Nanjing University of Science and Technology), Anmin Fu (Nanjing University of Science and Technology), Kai Chen (Chinese Academy of Science), Zhiyang Dai (Nanjing University of Science and Technology), Zhi Zhang (CSIRO's Data61), Minhui Xue (CSIRO's Data61), Yuqing Zhang (University of Chinese Academy of Science)

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Measuring Messengers: Analyzing Infrastructures and Message Timings to Extract...

Theodor Schnitzler (Research Center Trustworthy Data Science and Security, TU Dortmund, and Ruhr-Universität Bochum)

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