Privacy Interpretation of Behavioural-based Anomaly Detection Approaches (Record no. 639)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01412nam a2200169 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260901030328.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250101s2020 xx o 000 0 eng d |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Muhammad Imran Khan |
| 245 10 - TITLE STATEMENT | |
| Title | Privacy Interpretation of Behavioural-based Anomaly Detection Approaches |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | arXiv |
| Date of production, publication, distribution, manufacture, or copyright notice | 2020 |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This paper proposes the notion of 'Privacy-Anomaly Detection' and considers the question of whether behavioural-based anomaly detection approaches can have a privacy semantic interpretation and whether the detected anomalies can be related to the conventional (formal) definitions of privacy semantics such as k-anonymity. The idea is to learn the user's past querying behaviour in terms of privacy and then identifying deviations from past behaviour in order to detect privacy violations. Privacy attacks, violations of formal privacy definition, based on a sequence of SQL queries (query correlations) are also considered in the paper and it is shown that interactive querying settings are vulnerable to privacy attacks based on query sequences. Investigation on whether these types of privacy attacks can potentially manifest themselves as anomalies, specifically as privacy-anomalies was carried |
| 506 0# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Open access — freely available to read. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://arxiv.org/pdf/2012.11541v1">https://arxiv.org/pdf/2012.11541v1</a> |
| Link text | Read the full paper (PDF) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Electronic resource (link) |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Total checkouts | Barcode | Date last seen | Uniform resource identifier | Price effective from | Koha item type |
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| Available online | Cybersecurity | Yegates University Library | Yegates University Library | Science and Computing | 09/01/2026 | YGE000900 | 09/01/2026 | https://arxiv.org/pdf/2012.11541v1 | 09/01/2026 | Research paper — read online |