DocumentCode :
1786263
Title :
Mitigating the Spread of a Virus in the Internet
Author :
Thanh Dang Nguyen ; Bonnet, Francois ; Defago, Xavier
Author_Institution :
Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol. (JAIST), Nomi, Japan
fYear :
2014
fDate :
6-9 Oct. 2014
Firstpage :
14
Lastpage :
19
Abstract :
Virus is a traditional and serious threat of the Internet. The spread of a virus and the containment of the spread can be generalized in an abstraction of a two-side problem in which one side tries to spread the infection as much as possible while the other side tries to detect and limit the spread. Two parameters play an important role: (1) the probability of a successful infection, (2) the probability of a successful detection. The existing studies consider both sides of this problem separately. They either study the spread without detection or study the containment when detection is perfectly accurate. A natural question that arises when attack can be detect but the detection may possibly be inaccurate, is whether it is possible to contain the spread and, if it is, then under what conditions? This paper studies the two-side problem with defense strategies that can be grouped into two main classes, (1) Killing strategies, where a node decides to sacrifice itself and possibly deactivate some of its neighbors, and (2) Cutting strategies, where a node decides to cut or deactivate some communication links. Both classes aim at containing the epidemic by disconnecting infected nodes from healthy ones.
Keywords :
IP networks; computer network security; telecommunication network topology; CAIDA topology; IPv4 Internet topology; Internet virus; detection probability; infection probability; killing strategies; two-side problem abstraction; Computational modeling; Detectors; Grippers; Immune system; Internet; Peer-to-peer computing; Topology; Internet; containment; epidemic; simulation; virus spread;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliable Distributed Systems Workshops (SRDSW), 2014 IEEE 33rd International Symposium on
Conference_Location :
Nara
Type :
conf
DOI :
10.1109/SRDSW.2014.26
Filename :
7000129
Link To Document :
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