Name
Abstract | ||
|---|---|---|
Rapid and accurate targeting is in great demand in cybersecurity, especially for automated targeting. Current automated approaches are not efficient and effective in selecting the most relevant hints within the first attempt or within the first few attempts in investigative search, not mentioning generating intelligent hints. In most case, human intervention is required. How can intelligent automation be built into searches to speed up the process? What structural relationship can be utilized in providing intelligence not only in capturing current status but also offering intelligent hints or guidance in getting closer to the correct target in order to find out truth? These are the questions that this paper addresses. It also explores the unique structural relationship in contextual binding, which is unfortunately not well studied. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/WI.2016.124 | 2016 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2016) |
Keywords | Field | DocType |
Contexts, contextual binding, structural relationship, intelligent hints, machine learning, accurate attribution | Data mining,Computer science,Automation,Supervised learning,Unsupervised learning,Speedup,Cyberspace | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||