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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih-Yao Dai Fyodor, Y. Sy-Yen Kuo Ming-Wei Wu Huang, Y. |
| Copyright Year | 2011 |
| Abstract | In order to steal valuable data, hackers are uninterrupted research and development new techniques to intrude computer systems. Opposite to hackers, security researchers are uninterrupted analysis and tracking new malicious techniques for protecting sensitive data. There are a lot of existing analyzers can be used to help security researchers to analyze and track new malicious techniques. However, these existing analyzers cannot provide sufficient information to security researchers to perform precise assessment and deep analysis. In this paper, we introduce a behavior-based malicious software profiler, named Holography platform, to assist security researchers to obtain sufficient information. Holography platform analyzes virtualization hardware data, including CPU instructions, CPU registers, memory data and disk data, to obtain high level behavior semantic of all running processes. High level behavior semantic can provide sufficient information to security researchers to perform precise assessment and deep analysis new malicious techniques, such as malicious advertisement attack(malvertising attack). |
| Starting Page | 314 |
| Ending Page | 319 |
| File Size | 1392073 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457720055 |
| e-ISBN | 9780769545905 |
| DOI | 10.1109/PRDC.2011.53 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Holography Topology Malware Web pages HTML Browsers complete resource topology malware dynamic analysis malvertising virtual machine |
| Content Type | Text |
| Resource Type | Article |
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