NDLI: Botnet tracing based on distributed denial of service activity analysis

Content Provider	IEEE Xplore Digital Library
Author	Ding, Wei Ren, Wentao Xia, Zhen Wang, Li
Copyright Year	2015
Description	Author affiliation: Key Laboratory of Computer Network, Southeast University, Nanjing, China (Ding, Wei; Ren, Wentao; Xia, Zhen; Wang, Li)
Abstract	Most of DDoS(Distributed Denial of Service) attacks use botnets as the carrier, which has become one of the serious threat to Internet. However, botnet detection is difficult in backbone because C&C(command & control channel) is blended into the heavy background traffic. This paper proposed a method for locating botnet by DDoS activity data analysis and DPI(Deep Packet Inspection) technology. The DDoS attack traffic is sampled to locate suspicious hosts firstly, then the hosts' packets are collected and analyzed by DPI technology with some DDoS parameters, such as victim, start time of the attack etc. for finding C&C and Servers. This detection model has been implemented, named BTS (Botnet tracking system) at a POP of CERNET. The tests showed the practicability of this model.
Starting Page	685
Ending Page	689
File Size	398611
Page Count	5
File Format	PDF
e-ISBN	9781509000227
DOI	10.1109/BMEI.2015.7401590
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	DDoS detection C&C Databases Botnet Information filters IP networks Servers DPI Computer crime
Content Type	Text
Resource Type	Article

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