On Eavesdropping Attacks in Wireless Networks

Hong Ning Dai; Hao Wang; Hong Xiao; Xuran Li; Qiu Wang

doi:10.1109/CSE-EUC-DCABES.2016.173

On Eavesdropping Attacks in Wireless Networks

Hong Ning Dai, Hao Wang, Hong Xiao, Xuran Li, Qiu Wang

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

10 Citations (Scopus)

Abstract

Eavesdropping attacks have become one of major threats in wireless networks since it is the prerequisite of other malicious attacks. Most of current studies concentrate on designing anti-eavesdropping schemes. There are few studies on quantitatively evaluating the eavesdropping attacks conducted by the malicious nodes. However, it is important to investigate the eavesdropping attacks since we can design cost-effective antieavesdropping schemes if we know the eavesdropping behaviors. For example, we can offer a better protection on the confidential communications if we know which location is more vulnerable to eavesdropping attacks. In this paper, we propose a general analytical framework to quantify the eavesdropping probability in wireless networks with consideration of various factors, such as node density and impacts of channel conditions. We validate the accuracy of our proposed model by conducting extensive simulations. Besides, we show that our general model can also be used to underwater acoustic networks.

Original language	English
Title of host publication	Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016
Publisher	IEEE
Pages	138-141
Number of pages	4
ISBN (Electronic)	9781509035939
DOIs	https://doi.org/10.1109/CSE-EUC-DCABES.2016.173
Publication status	Published - 17 Jul 2017
Event	19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016 - Paris, France Duration: 24 Aug 2016 → 26 Aug 2016

Conference

Conference	19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016
Country/Territory	France
City	Paris
Period	24/08/16 → 26/08/16

Scopus Subject Areas

Engineering (miscellaneous)
Computer Science (miscellaneous)
Computer Networks and Communications
Computer Science Applications
Business, Management and Accounting (miscellaneous)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/CSE-EUC-DCABES.2016.173

Cite this

Dai, H. N., Wang, H., Xiao, H., Li, X., & Wang, Q. (2017). On Eavesdropping Attacks in Wireless Networks. In Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016 (pp. 138-141). Article 7982235 IEEE. https://doi.org/10.1109/CSE-EUC-DCABES.2016.173

Dai, Hong Ning ; Wang, Hao ; Xiao, Hong et al. / On Eavesdropping Attacks in Wireless Networks. Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016. IEEE, 2017. pp. 138-141

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abstract = "Eavesdropping attacks have become one of major threats in wireless networks since it is the prerequisite of other malicious attacks. Most of current studies concentrate on designing anti-eavesdropping schemes. There are few studies on quantitatively evaluating the eavesdropping attacks conducted by the malicious nodes. However, it is important to investigate the eavesdropping attacks since we can design cost-effective antieavesdropping schemes if we know the eavesdropping behaviors. For example, we can offer a better protection on the confidential communications if we know which location is more vulnerable to eavesdropping attacks. In this paper, we propose a general analytical framework to quantify the eavesdropping probability in wireless networks with consideration of various factors, such as node density and impacts of channel conditions. We validate the accuracy of our proposed model by conducting extensive simulations. Besides, we show that our general model can also be used to underwater acoustic networks.",

author = "Dai, {Hong Ning} and Hao Wang and Hong Xiao and Xuran Li and Qiu Wang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. The work described in this paper was partially supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3 and the NSFC-Guangdong Joint Fund under Grant No. U1401251. The authors would like to thank Gordon K.-T. Hon for his constructive comments.; 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016 ; Conference date: 24-08-2016 Through 26-08-2016",

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Dai, HN, Wang, H, Xiao, H, Li, X & Wang, Q 2017, On Eavesdropping Attacks in Wireless Networks. in Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016., 7982235, IEEE, pp. 138-141, 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016, Paris, France, 24/08/16. https://doi.org/10.1109/CSE-EUC-DCABES.2016.173

On Eavesdropping Attacks in Wireless Networks. / Dai, Hong Ning; Wang, Hao; Xiao, Hong et al.
Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016. IEEE, 2017. p. 138-141 7982235.

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - On Eavesdropping Attacks in Wireless Networks

AU - Dai, Hong Ning

AU - Wang, Hao

AU - Xiao, Hong

AU - Li, Xuran

AU - Wang, Qiu

N1 - Publisher Copyright: © 2016 IEEE. The work described in this paper was partially supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3 and the NSFC-Guangdong Joint Fund under Grant No. U1401251. The authors would like to thank Gordon K.-T. Hon for his constructive comments.

PY - 2017/7/17

Y1 - 2017/7/17

N2 - Eavesdropping attacks have become one of major threats in wireless networks since it is the prerequisite of other malicious attacks. Most of current studies concentrate on designing anti-eavesdropping schemes. There are few studies on quantitatively evaluating the eavesdropping attacks conducted by the malicious nodes. However, it is important to investigate the eavesdropping attacks since we can design cost-effective antieavesdropping schemes if we know the eavesdropping behaviors. For example, we can offer a better protection on the confidential communications if we know which location is more vulnerable to eavesdropping attacks. In this paper, we propose a general analytical framework to quantify the eavesdropping probability in wireless networks with consideration of various factors, such as node density and impacts of channel conditions. We validate the accuracy of our proposed model by conducting extensive simulations. Besides, we show that our general model can also be used to underwater acoustic networks.

AB - Eavesdropping attacks have become one of major threats in wireless networks since it is the prerequisite of other malicious attacks. Most of current studies concentrate on designing anti-eavesdropping schemes. There are few studies on quantitatively evaluating the eavesdropping attacks conducted by the malicious nodes. However, it is important to investigate the eavesdropping attacks since we can design cost-effective antieavesdropping schemes if we know the eavesdropping behaviors. For example, we can offer a better protection on the confidential communications if we know which location is more vulnerable to eavesdropping attacks. In this paper, we propose a general analytical framework to quantify the eavesdropping probability in wireless networks with consideration of various factors, such as node density and impacts of channel conditions. We validate the accuracy of our proposed model by conducting extensive simulations. Besides, we show that our general model can also be used to underwater acoustic networks.

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EP - 141

BT - Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016

PB - IEEE

T2 - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016

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ER -

Dai HN, Wang H, Xiao H, Li X, Wang Q. On Eavesdropping Attacks in Wireless Networks. In Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016. IEEE. 2017. p. 138-141. 7982235 doi: 10.1109/CSE-EUC-DCABES.2016.173

On Eavesdropping Attacks in Wireless Networks

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