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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ahamad, Mustaque Lee, Wenke Omicienski, Edward Santos, Andre dos Pu, Calton Liu, Ling Mark, Leo |
| Abstract | As applications enabled by the Internet become information rich, ensuring access to quality information in the presence of potentially malicious entities will be a major challenge. Denial of information (DoI) attacks attempt to degrade the quality of information by deliberately introducing noise that appears to be useful information. The mere availability of information is insufficient if the user must find a needle in a haystack of noise that is created by an adversary to hide critical information. We focus on the characterization of information quality metrics that are relevant in the presence of DoI attacks. In particular, two complementary metrics are explored. Information regularity captures predictability in the patterns of information creation and access. The second metric, information quality trust, captures the known ability of an information source to meet the needs of its clients. |
| Starting Page | 136 |
| Ending Page | 143 |
| Page Count | 8 |
| File Format | |
| ISBN | 158113598X |
| DOI | 10.1145/844102.844126 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2002-09-23 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Countering information attacks Quality of information |
| Content Type | Text |
| Resource Type | Article |
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|---|---|---|---|
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