DocumentCode
265702
Title
Optimal decentralized security software deployment in multihop wireless networks
Author
Kaewpuang, Rakpong ; Niyato, Dusit ; Ping Wang ; Zhu Han ; Rongxing Lu
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ. (NTU), Singapore, Singapore
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
619
Lastpage
624
Abstract
Decentralized security software deployment is important to achieve reliable and secure network operations. In this paper, we consider the joint traffic routing and security software deployment problem. In this problem, the network can make decisions about routing, security protection and recovery software to minimize total energy consumption of all nodes in the network. Specifically, the network has to trade off between energy consumption and preventing security damages by running protection software based on uncertainty about attacks. The protection software has to be deployed along the route of traffic flow, and hence the network has to optimize traffic routing. We first formulate this problem as a stochastic programming model. To obtain the solution, we transform the stochastic programming model into the deterministic problem, which can be solved using a standard solver. The performance evaluation reveals that the optimal solution depends largely on energy budget and energy consumption of the nodes for transferring traffic and running security software.
Keywords
relay networks (telecommunication); security of data; stochastic programming; telecommunication network routing; telecommunication power management; telecommunication traffic; wireless mesh networks; deterministic problem; joint traffic routing; multihop wireless networks; optimal decentralized security software deployment; recovery software; running security software; security protection; stochastic programming model; total energy consumption minimization; traffic flow; Energy consumption; Optimization; Routing; Security; Software; Stochastic processes; Wireless networks; Security mobile application; multihop wireless networks; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7036876
Filename
7036876
Link To Document