TY - JOUR
T1 - An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things
AU - Li, Xuran
AU - Wang, Hao
AU - Dai, Hong Ning
AU - Wang, Yuanyuan
AU - Zhao, Qinglin
N1 - Funding information:
The work described in this paper was partially supported by Macao Science and Technology Development Fund under Grant no. 096/2013/A3 and Grant no. 104/2014/A3 and supported by Innovation Norway through the project “GCE BLUE Maritime Big Data.” The authors would like to thank Gordon K.-T. Hon for his helpful comments that greatly improve the quality of this paper.
Publisher Copyright:
© 2016 Xuran Li et al.
PY - 2016/1/5
Y1 - 2016/1/5
N2 - The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers various channel conditions, including the path loss, the shadow fading effect, and Rayleigh fading effect. Besides, we also consider the eavesdroppers in WNoT equipped with either omnidirectional antennas or directional antennas. Extensive simulation results show that our model is accurate and effective to model the eavesdropping attacks in WNoT. Besides, our results also indicate that the probability of eavesdropping attacks heavily depends on the shadow fading effect, the path loss effect, Rayleigh fading effect, and the antenna models. In particular, we find that the shadow fading effect is beneficial to the eavesdropping attacks while both the path loss effect and Rayleigh fading effect are detrimental. Besides, using directional antennas at eavesdroppers can also increase the eavesdropping probability. Our results offer some useful implications on designing antieavesdropping schemes in WNoT.
AB - The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers various channel conditions, including the path loss, the shadow fading effect, and Rayleigh fading effect. Besides, we also consider the eavesdroppers in WNoT equipped with either omnidirectional antennas or directional antennas. Extensive simulation results show that our model is accurate and effective to model the eavesdropping attacks in WNoT. Besides, our results also indicate that the probability of eavesdropping attacks heavily depends on the shadow fading effect, the path loss effect, Rayleigh fading effect, and the antenna models. In particular, we find that the shadow fading effect is beneficial to the eavesdropping attacks while both the path loss effect and Rayleigh fading effect are detrimental. Besides, using directional antennas at eavesdroppers can also increase the eavesdropping probability. Our results offer some useful implications on designing antieavesdropping schemes in WNoT.
UR - http://www.scopus.com/inward/record.url?scp=84955481772&partnerID=8YFLogxK
U2 - 10.1155/2016/4313475
DO - 10.1155/2016/4313475
M3 - Journal article
AN - SCOPUS:84955481772
SN - 1574-017X
VL - 2016
JO - Mobile Information Systems
JF - Mobile Information Systems
M1 - 4313475
ER -
