TY - JOUR
T1 - Risk-aware mitigation for MANET routing attacks
AU - Zhao, Ziming
AU - Hu, Hongxin
AU - Ahn, Gail-Joon
AU - Wu, Ruoyu
N1 - Funding Information:
This work was partially supported by the grants from the US National Science Foundation (NSF-IIS-0900970 and NSF-CNS-0831360) and the US Department of Energy (DOE) (DESC0004308). All correspondence should be addressed to: Dr. Gail-Joon Ahn, ASU, PO Box 878809, Tempe, AZ 85287.
PY - 2012
Y1 - 2012
N2 - Mobile Ad hoc Networks (MANET) have been highly vulnerable to attacks due to the dynamic nature of its network infrastructure. Among these attacks, routing attacks have received considerable attention since it could cause the most devastating damage to MANET. Even though there exist several intrusion response techniques to mitigate such critical attacks, existing solutions typically attempt to isolate malicious nodes based on binary or nave fuzzy response decisions. However, binary responses may result in the unexpected network partition, causing additional damages to the network infrastructure, and nave fuzzy responses could lead to uncertainty in countering routing attacks in MANET. In this paper, we propose a risk-aware response mechanism to systematically cope with the identified routing attacks. Our risk-aware approach is based on an extended Dempster-Shafer mathematical theory of evidence introducing a notion of importance factors. In addition, our experiments demonstrate the effectiveness of our approach with the consideration of several performance metrics.
AB - Mobile Ad hoc Networks (MANET) have been highly vulnerable to attacks due to the dynamic nature of its network infrastructure. Among these attacks, routing attacks have received considerable attention since it could cause the most devastating damage to MANET. Even though there exist several intrusion response techniques to mitigate such critical attacks, existing solutions typically attempt to isolate malicious nodes based on binary or nave fuzzy response decisions. However, binary responses may result in the unexpected network partition, causing additional damages to the network infrastructure, and nave fuzzy responses could lead to uncertainty in countering routing attacks in MANET. In this paper, we propose a risk-aware response mechanism to systematically cope with the identified routing attacks. Our risk-aware approach is based on an extended Dempster-Shafer mathematical theory of evidence introducing a notion of importance factors. In addition, our experiments demonstrate the effectiveness of our approach with the consideration of several performance metrics.
KW - Mobile ad hoc networks
KW - dempster-shafer theory
KW - intrusion response
KW - risk aware
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U2 - 10.1109/TDSC.2011.51
DO - 10.1109/TDSC.2011.51
M3 - Article
AN - SCOPUS:84856298337
SN - 1545-5971
VL - 9
SP - 250
EP - 260
JO - IEEE Transactions on Dependable and Secure Computing
JF - IEEE Transactions on Dependable and Secure Computing
IS - 2
M1 - 6035723
ER -