Abstract
In this paper, a BGP hijack detection mechanism is presented. The proposed methodology is utterly unsupervised and no assumptions are made whatsoever, but it is developed upon the extraction of two novel features related to the frequency of appearance and the geographic deviation of each intermediate AS towards a given destination country. The technique is tested under a real-world case of BGP hijack and the efficiency of the features and the corresponding proximity measures is assessed. It is proven that the proposed approach is capable of decisively capturing such events of malicious routing path anomalies. © 2013 Springer-Verlag London.
Cite
CITATION STYLE
Theodoridis, G., Tsigkas, O., & Tzovaras, D. (2013). A novel unsupervised method for securing BGP against routing hijacks. In Computer and Information Sciences III - 27th International Symposium on Computer and Information Sciences, ISCIS 2012 (pp. 21–29). Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4471-4594-3_3
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
