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.

View More Papers

Ghost Domain Reloaded: Vulnerable Links in Domain Name Delegation...

Xiang Li (Tsinghua University), Baojun Liu (Tsinghua University), Xuesong Bai (University of California, Irvine), Mingming Zhang (Tsinghua University), Qifan Zhang (University of California, Irvine), Zhou Li (University of California, Irvine), Haixin Duan (Tsinghua University; QI-ANXIN Technology Research Institute; Zhongguancun Laboratory), Qi Li (Tsinghua University; Zhongguancun Laboratory)

Read More

WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition...

Takami Sato (University of California, Irvine), Sri Hrushikesh Varma Bhupathiraju (University of Florida), Michael Clifford (Toyota InfoTech Labs), Takeshi Sugawara (The University of Electro-Communications), Qi Alfred Chen (University of California, Irvine), Sara Rampazzi (University of Florida)

Read More

The “Beatrix” Resurrections: Robust Backdoor Detection via Gram Matrices

Wanlun Ma (Swinburne University of Technology), Derui Wang (CSIRO’s Data61), Ruoxi Sun (The University of Adelaide & CSIRO's Data61), Minhui Xue (CSIRO's Data61), Sheng Wen (Swinburne University of Technology), Yang Xiang (Digital Research & Innovation Capability Platform, Swinburne University of Technology)

Read More