@inproceedings{51eb842ab75b4f1ba54a2de051c6fc4b,
title = "On permutation masks in hamming negative selection",
abstract = "Permutation masks were proposed for reducing the number of holes in Hamming negative selection when applying the r-contignous or r-chunk matching rule. Here, we show that (randomly determined) permutation masks re-arrange the semantic representation of the underlying data and therefore shatter self-regions. As a consequence, detectors do not cover areas around self regions, instead they cover randomly distributed elements across the space. In addition, we observe that the resulting holes occur in regions where actually no self regions should occur.",
keywords = "negative selection, anomaly detection, network intrusion detection, generalization region, grey shade area",
author = "Thomas Stibor and Jonathan Timmis and Claudia Eckert",
year = "2006",
doi = "10.1007/11823940_10",
language = "English",
isbn = "3540377492",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "122--135",
booktitle = "Artificial Immune Systems - 5th International Conference, ICARIS 2006. Proceedings",
address = "Switzerland",
note = "5th International Conference on Artificial Immune Systems, ICARIS 2006 ; Conference date: 04-09-2006 Through 06-09-2006",
}