@inproceedings{96c7691ace344a11b08701ebf73a2b5c,
title = "Online detection of concurrent prefix hijacks",
abstract = "Prefix hijacking is a major security threat to the global Internet routing system. Concurrent prefix hijack detection has been proven to be an effective method to defend routing security. However, the existing concurrent prefix hijack detection scheme considers no prefix ownership changes, and online concurrent prefix hijack detection endures seriously false positive. In this paper, we study the possible characters to filter out false positive events generated online by machine learning, and apply such characters in the online detection. Our result shows that our refined online concurrent prefix hijack detection can detect all offline detected events with no false positive. We also confirm that (1) neighboring ASes seldom hijack each other{\textquoteright}s prefixes; (2) large ISPs seldom suffer from prefix hijacks or conduct hijacks.",
keywords = "False positive, Online detection, Prefix hijack",
author = "Shen Su and Beichuan Zhang and Binxing Fang",
note = "Publisher Copyright: {\textcopyright} Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.; 10th International Conference on Security and Privacy in Communication Networks, SecureComm 2014 ; Conference date: 24-09-2014 Through 26-09-2014",
year = "2015",
doi = "10.1007/978-3-319-23802-9_8",
language = "English (US)",
isbn = "9783319238012",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer-Verlag",
pages = "69--83",
editor = "Mudhakar Srivatsa and Jing Tian and Jiwu Jing",
booktitle = "International Conference on Security and Privacy in Communication Networks - 10th International ICST Conference, SecureComm 2014, Revised Selected Papers",
}