TY - GEN
T1 - Toward vulnerability assessment for 5G mobile communication networks
AU - Luo, Shibo
AU - Wu, Jun
AU - Li, Jianhua
AU - Guo, Longhua
AU - Pei, Bei
N1 - Funding Information:
This work is supported by National Natural Science Foundation of China (Grant No. 61401273 and 61431008), Doctoral Scientific Fund Project of the Ministry of Education of China (No. 20130073130006).
Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - For 5G, Software-Defined Networking have emerged as a future mobile network architecture. It is so called Software-Defined Networking based Mobile Networks (SDN-MN). Because of the dynamic and virtual features of SDN-MN, most traditional network vulnerability assessment methodologies cannot be applied in SDN-MN directly. As a result, a new methodology of vulnerability assessment for SDN-MN is needed. In this paper, an effective vulnerability assessment mechanism is proposed for SDN-MN using attack graph algorithm and analytic hierarchy process (AHP). An optimized attack graph is given to alleviate scalability problem. In order to quantify security level, we define node minimal effort to quantify attack cost and then derive system security level. Aiming to calculate node minimal effort of attack graph in SDN-MN dynamic environment, AHP and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) are integrated into the methodology with regard to dynamic vulnerability factors in SDN-MN. Finally, we offer a case study to validate the methodology. The case study and evaluation show the advantages of the proposed vulnerability assessment mechanism.
AB - For 5G, Software-Defined Networking have emerged as a future mobile network architecture. It is so called Software-Defined Networking based Mobile Networks (SDN-MN). Because of the dynamic and virtual features of SDN-MN, most traditional network vulnerability assessment methodologies cannot be applied in SDN-MN directly. As a result, a new methodology of vulnerability assessment for SDN-MN is needed. In this paper, an effective vulnerability assessment mechanism is proposed for SDN-MN using attack graph algorithm and analytic hierarchy process (AHP). An optimized attack graph is given to alleviate scalability problem. In order to quantify security level, we define node minimal effort to quantify attack cost and then derive system security level. Aiming to calculate node minimal effort of attack graph in SDN-MN dynamic environment, AHP and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) are integrated into the methodology with regard to dynamic vulnerability factors in SDN-MN. Finally, we offer a case study to validate the methodology. The case study and evaluation show the advantages of the proposed vulnerability assessment mechanism.
KW - 5G
KW - Analytic hierarchy process
KW - Attack graph
KW - Node minimal effort
KW - Software-Defined Networking based Mobile Networks
KW - Vulnerability assessment
UR - http://www.scopus.com/inward/record.url?scp=84973865359&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973865359&partnerID=8YFLogxK
U2 - 10.1109/SmartCity.2015.50
DO - 10.1109/SmartCity.2015.50
M3 - Conference contribution
AN - SCOPUS:84973865359
T3 - Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
SP - 72
EP - 76
BT - Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
A2 - Liu, Xingang
A2 - Wang, Peicheng
A2 - Wang, Yufeng
A2 - Dong, Mianxiong
A2 - Hsu, Robert C. H.
A2 - Xia, Feng
A2 - Deng, Yuhui
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Smart City, SmartCity 2015
Y2 - 19 December 2015 through 21 December 2015
ER -