An analytical model on eavesdropping attacks in wireless networks

Xuran Li; Hong-Ning Dai; Qinglin Zhao

doi:10.1109/ICCS.2014.7024861

An analytical model on eavesdropping attacks in wireless networks

Xuran Li, Hong-Ning Dai, Qinglin Zhao

Department of Computer Science

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

7 Citations (Scopus)

Abstract

This paper concerns the eavesdropping problem from the eavesdroppers' perspective, which is new since most of previous studies only concentrate on the good nodes. We propose an analytical framework to investigate the eavesdropping attacks, taking account into various channel conditions and antenna models. Our extensive numerical results show that the probability of eavesdropping attacks heavily depends on the shadow fading effect, the path loss effect and the antenna models; particularly, they imply that using directional antennas at eavesdroppers can increase the probability of eavesdropping attacks when the path loss effect is less notable. This study is helpful for us to prevent the eavesdropping attacks effectively and economically.

Original language	English
Title of host publication	2014 IEEE International Conference on Communication Systems, ICCS 2014
Publisher	IEEE
Pages	538-542
Number of pages	5
Edition	1st
ISBN (Electronic)	9781479958320
DOIs	https://doi.org/10.1109/ICCS.2014.7024861
Publication status	Published - 19 Nov 2014
Event	2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014 - , Macao Duration: 19 Nov 2014 → 21 Nov 2014 https://ieeexplore.ieee.org/xpl/conhome/7002494/proceeding (Conference proceedings)

Publication series

Name	IEEE International Conference on Communication Systems, IEEE ICCS

Conference

Conference	2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
Country/Territory	Macao
Period	19/11/14 → 21/11/14
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7002494/proceeding (Conference proceedings)

Scopus Subject Areas

Computer Networks and Communications
Information Systems

UN SDGs

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

Access to Document

10.1109/ICCS.2014.7024861

Cite this

@inproceedings{da488b0d13ac4318b32300d00479b184,

title = "An analytical model on eavesdropping attacks in wireless networks",

abstract = "This paper concerns the eavesdropping problem from the eavesdroppers' perspective, which is new since most of previous studies only concentrate on the good nodes. We propose an analytical framework to investigate the eavesdropping attacks, taking account into various channel conditions and antenna models. Our extensive numerical results show that the probability of eavesdropping attacks heavily depends on the shadow fading effect, the path loss effect and the antenna models; particularly, they imply that using directional antennas at eavesdroppers can increase the probability of eavesdropping attacks when the path loss effect is less notable. This study is helpful for us to prevent the eavesdropping attacks effectively and economically.",

author = "Xuran Li and Hong-Ning Dai and Qinglin Zhao",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014 ; Conference date: 19-11-2014 Through 21-11-2014",

year = "2014",

month = nov,

day = "19",

doi = "10.1109/ICCS.2014.7024861",

language = "English",

series = "IEEE International Conference on Communication Systems, IEEE ICCS",

publisher = "IEEE",

pages = "538--542",

booktitle = "2014 IEEE International Conference on Communication Systems, ICCS 2014",

address = "United States",

edition = "1st",

url = "https://ieeexplore.ieee.org/xpl/conhome/7002494/proceeding",

}

Li, X, Dai, H-N & Zhao, Q 2014, An analytical model on eavesdropping attacks in wireless networks. in 2014 IEEE International Conference on Communication Systems, ICCS 2014. 1st edn, IEEE International Conference on Communication Systems, IEEE ICCS, IEEE, pp. 538-542, 2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014, Macao, 19/11/14. https://doi.org/10.1109/ICCS.2014.7024861

An analytical model on eavesdropping attacks in wireless networks. / Li, Xuran; Dai, Hong-Ning; Zhao, Qinglin.
2014 IEEE International Conference on Communication Systems, ICCS 2014. 1st. ed. IEEE, 2014. p. 538-542 (IEEE International Conference on Communication Systems, IEEE ICCS).

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

TY - GEN

T1 - An analytical model on eavesdropping attacks in wireless networks

AU - Li, Xuran

AU - Dai, Hong-Ning

AU - Zhao, Qinglin

PY - 2014/11/19

Y1 - 2014/11/19

N2 - This paper concerns the eavesdropping problem from the eavesdroppers' perspective, which is new since most of previous studies only concentrate on the good nodes. We propose an analytical framework to investigate the eavesdropping attacks, taking account into various channel conditions and antenna models. Our extensive numerical results show that the probability of eavesdropping attacks heavily depends on the shadow fading effect, the path loss effect and the antenna models; particularly, they imply that using directional antennas at eavesdroppers can increase the probability of eavesdropping attacks when the path loss effect is less notable. This study is helpful for us to prevent the eavesdropping attacks effectively and economically.

AB - This paper concerns the eavesdropping problem from the eavesdroppers' perspective, which is new since most of previous studies only concentrate on the good nodes. We propose an analytical framework to investigate the eavesdropping attacks, taking account into various channel conditions and antenna models. Our extensive numerical results show that the probability of eavesdropping attacks heavily depends on the shadow fading effect, the path loss effect and the antenna models; particularly, they imply that using directional antennas at eavesdroppers can increase the probability of eavesdropping attacks when the path loss effect is less notable. This study is helpful for us to prevent the eavesdropping attacks effectively and economically.

UR - http://www.scopus.com/inward/record.url?scp=84946691319&partnerID=8YFLogxK

U2 - 10.1109/ICCS.2014.7024861

DO - 10.1109/ICCS.2014.7024861

M3 - Conference proceeding

AN - SCOPUS:84946691319

T3 - IEEE International Conference on Communication Systems, IEEE ICCS

SP - 538

EP - 542

BT - 2014 IEEE International Conference on Communication Systems, ICCS 2014

PB - IEEE

T2 - 2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014

Y2 - 19 November 2014 through 21 November 2014

ER -

An analytical model on eavesdropping attacks in wireless networks

Abstract

Publication series

Conference

Scopus Subject Areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this