Diagnosis of threat degree of IP addresses based on the generalized and regularized Mahalanobis distances

doi:10.7523/j.issn.2095-6134.2015.01.004

›› 2015, Vol. 32 ›› Issue (1): 18-24.DOI: 10.7523/j.issn.2095-6134.2015.01.004

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Diagnosis of threat degree of IP addresses based on the generalized and regularized Mahalanobis distances

CHAO Ting¹, LI Qizhai¹, LIU Zhuojun¹, SUN Cai², SUN Yungang²

1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100049, China;
2. China Internet Network Information Center, Beijing 100190, China

Received:2013-12-31 Revised:2014-03-31 Online:2015-01-15

Abstract

Abstract:

The domain name system (DNS) plays an important role in the internet, and maintaining its health and security is significant to the normal operation of the entire internet. To this end, we detect and shield the IP addresses that have potential threats to the name servers. We propose the generalized and regularized Mahalanobis distances to diagnose the threat degree of IP addresses. Both the methods efficiently solve the issue where the covariance matrix is singular. Real data analysis shows that the two proposed distances are very efficient in the diagnosis of threat degree of IP addresses.

Key words: DNS, generalized Mahalanobis distance, regularized Mahalanobis distance, IP address threat degree, diagnosis

CLC Number:

O212.1

CHAO Ting, LI Qizhai, LIU Zhuojun, SUN Cai, SUN Yungang. Diagnosis of threat degree of IP addresses based on the generalized and regularized Mahalanobis distances[J]. , 2015, 32(1): 18-24.

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[2]	LI Hua-Wei, LI Zhong-Cheng. Test Generation Based on Behavioral Model at RT-Level and Delay Testing [J]. , 2002, 19(2): 198-201.

Diagnosis of threat degree of IP addresses based on the generalized and regularized Mahalanobis distances

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