Effective Network Planning and Defending Strategies to Maximize System Survivability of Wireless Mesh Networks under Malicious and Jamming Attacks
Date Issued
2011
Date
2011
Author(s)
Jing-Wei Wang, Hubert
Abstract
Owing to the convenience of wireless networks, there are many mature applications which have been developed in recent years, for example, cellular telephone systems, Wi-Fi and WiMAX. However, some wireless applications are safe-critical or life-critical, such as patient tracking, traffic monitoring and emergency rescue. Therefore, security, especially continuity, of wireless networks is a critical issue in wireless networks.
Unfortunately, there is a category of attacks that seriously threatens the continuity of wireless networks, which is called jamming attack. The objective of such attacks focuses on interdiction of any communication on the targeted channels or a range of frequency. The open nature of wireless mediums makes it vulnerable to any wireless capable devices. Worst of all, the wireless environment become more sophisticated when there are multiple jammers in one single channel.
However, there have not been any researches address the issue of how the service providers should deploy its topology or allocate its resources to minimize the impact of jamming attacks of multiple jammers launched by malicious attackers.
Therefore, in this thesis, we proposed a mathematical model to formulate an attack-defense scenario of the problem. The solution is derived by evaluation process which applies a series of evaluations and policy enhancements to improve the quality of solution. Finally, obtain an effect solution of topology planning and defending strategies for the defenders. With the advantage of simulations, we can take the concept of incomplete information into consideration which makes the problem closer to reality.
Subjects
Network Attack and Defense
Wireless Mesh Networks
Jamming Attack
Network Survivability
Optimization
Resource Allocation
Mathematical Programming
Honeypots
Incomplete Information
Lagrangian Relaxation Method
Type
thesis
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