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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ming Dong Wan Han-Ching Wu Ying-Wei Kuo Marshall, J. Huang, S.-H.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. of Houston, Houston (Ming Dong Wan; Han-Ching Wu; Ying-Wei Kuo; Marshall, J.; Huang, S.-H.S.) |
| Abstract | Network intruders commonly use stolen passwords or other means to log into legitimate users' computer accounts. To prevent this from happening, it is important that we are able to distinguish a user as a true user or a masquerader. Uniqueness of user command has been used in the past as signature of users. This project explores the high frequency commands to see if they work well as signatures. Experimental result was provided to show that they work as well as the Uniqueness method. Besides, the comparisons with other methods were also presented. |
| Starting Page | 596 |
| Ending Page | 601 |
| File Size | 357198 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769530963 |
| DOI | 10.1109/WAINA.2008.38 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-25 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intrusion Detection Data security Masqueraders Electronic mail Application software Network Security. Computer science Databases Intrusion detection Profiles Frequency Computer networks Signatures Artificial intelligence Monitoring |
| Content Type | Text |
| Resource Type | Article |
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