NDLI: DoWitcher: Effective Worm Detection and Containment in the Internet Core

Content Provider	IEEE Xplore Digital Library
Author	Ranjan, S. Shah, S. Nucci, A. Munafo, M. Cruz, R. Muthukrishnan, S.
Copyright Year	2007
Description	Author affiliation: Narus Inc., Mountain View (Ranjan, S.; Shah, S.; Nucci, A.)
Abstract	Enterprise networks are increasingly offloading the responsibility for worm detection and containment to the carrier networks. However, current approaches to the zero-day worm detection problem such as those based on content similarity of packet payloads are not scalable to the carrier link speeds (OC-48 and up-wards). In this paper, we introduce a new system, namely DoWitcher, which in contrast to previous approaches is scalable as well as able to detect the stealthiest worms that employ low-propagation rates or polymorphisms to evade detection. DoWitcher uses an incremental approach toward worm detection: First, it examines the layer-4 traffic features to discern the presence of a worm anomaly; Next, it determines a flow-filter mask that can be applied to isolate the suspect worm flows and; Finally, it enables full-packet capture of only those flows that match the mask, which are then processed by a longest common subsequence algorithm to extract the worm content signature. Via a proof-of-concept implementation on a commercially available network analyzer processing raw packets from an OC-48 link, we demonstrate the capability of DoWitcher to detect low-rate worms and extract signatures for even the polymorphic worms.
Starting Page	2541
Ending Page	2545
File Size	241641
Page Count	5
File Format	PDF
ISBN	1424410479
ISSN	0743166X
DOI	10.1109/INFCOM.2007.317
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Internet Computer worms Telecommunication traffic Intrusion detection USA Councils Payloads Communications Society IP networks Computer networks Gain control
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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