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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yampolskiy, R.V. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. at Buffalo, Buffalo (Yampolskiy, R.V.) |
| Abstract | The indirect HCI-based biometrics are events that can be obtained by monitoring users' HCI behavior indirectly via observable low-level actions of computer software, those include records in audit logs, call-stack data, GUI interaction events, network traffic, registry access data, storage activity, and system calls. These low-level events are produced unintentionally by the user during interaction with different software applications during pursuit of some, potentially mischievous, high level goals. This paper concentrates on the review and analysis of indirect human computer interaction-based biometrics frequently used in intrusion detection systems. We conclude with an experimental demonstration of an intrusion detection system based on network traffic analysis as an example of application of indirect human computer interaction-based behavioral biometrics. |
| Starting Page | 138 |
| Ending Page | 145 |
| File Size | 1508982 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424411290 |
| DOI | 10.1109/CCST.2007.4373481 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-08 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics Intrusion detection Computer networks Human computer interaction Telecommunication traffic Application software Computerized monitoring Graphical user interfaces Mice Muscles ANN Indirect biometrics IDS HCI. system calls network traffic |
| Content Type | Text |
| Resource Type | Article |
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