Mohaisen et al., 2019 - Google Patents
Network-based analysis and classification of malware using behavioral artifacts orderingMohaisen et al., 2019
View PDF- Document ID
- 1606223066223896979
- Author
- Mohaisen A
- Alrawi O
- Park J
- Kim J
- Nyang D
- Mohaisen M
- Publication year
- Publication venue
- arXiv preprint arXiv:1901.01185
External Links
Snippet
Using runtime execution artifacts to identify malware and its associated family is an established technique in the security domain. Many papers in the literature rely on explicit features derived from network, file system, or registry interaction. While effective, the use of …
- 238000004458 analytical method 0 title description 58
Classifications
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
- G06F21/562—Static detection
- G06F21/563—Static detection by source code analysis
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- G06F21/6209—Protecting access to data via a platform, e.g. using keys or access control rules to a single file or object, e.g. in a secure envelope, encrypted and accessed using a key, or with access control rules appended to the object itself
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