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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bartlett, G. Heidemann, J. Papadopoulos, C. |
| Copyright Year | 2011 |
| Description | Author affiliation: Colorado State University; Ft. Collins, USA (Papadopoulos, C.) || USC/Information Sciences Institute; Marina del Rey, CA, USA (Bartlett, G.; Heidemann, J.) |
| Abstract | As desktops and servers become more complicated, they employ an increasing amount of automatic, non-user initiated communication. Such communication can be good (OS updates, RSS feed readers, and mail polling), bad (keyloggers, spyware, and botnet command-and-control), or ugly (adware or unauthorized peer-to-peer applications). Communication in these applications is often regular, but with very long periods, ranging from minutes to hours. This infrequent communication and the complexity of today's systems makes these applications difficult for users to detect and diagnose. In this paper we present a new approach to identify low-rate periodic network traffic and changes in such regular communication. We employ signal-processing techniques, using discrete wavelets implemented as a fully decomposed, iterated filter bank. This approach not only detects low-rate periodicities, but also identifies approximate times when traffic changed. We implement a self-surveillance application that externally identifies changes to a user's machine, such as interruption of periodic software updates, or an installation of a keylogger. |
| Starting Page | 804 |
| Ending Page | 809 |
| File Size | 333855 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457702495 |
| e-ISBN | 9781457702488 |
| DOI | 10.1109/INFCOMW.2011.5928922 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Aggregates Noise Time frequency analysis Harmonic analysis Malware |
| Content Type | Text |
| Resource Type | Article |
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