@inbook{8774bd198bea4f3b8959e297a1449126,
title = "Detecting unknown attacks using context similarity",
abstract = "The security risk of unknown attacks has been considered something that security specialists cannot measure. Contrary to hardware faults, software flaws cannot be easily identified. While it is not easy to identify unknown vulnerabilities in software systems, unknown attacks can be detected at the network level as variations of known attacks. This chapter introduces novel techniques that mainly focus on utilizing attack profiles created earlier to identify unknown attacks as a variation of known attacks.",
author = "Ahmed AlEroud and George Karabatis",
note = "Publisher Copyright: {\"i}¿½ Springer International Publishing Switzerland 2017.",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-44257-0_3",
language = "English (US)",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "53--75",
booktitle = "Studies in Computational Intelligence",
}