An analytical model on eavesdropping attacks in wireless networks

Abstract

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.

An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things

“…However, little attention has been paid to investigating the eavesdropping behaviors conducted by the eavesdroppers in WNoT, which is nevertheless important for us to offer better protection on the confidential communications since we can design antieavesdropping schemes with clearer targets if we have a better knowledge on the eavesdroppers, although we conducted a preliminary study on the eavesdropping probability of wireless ad hoc networks in [46]. But this paper is significantly different from our previous work [46] in the following aspects: (1) we are concerned with the eavesdropping activities in WNoT in this paper while the previous paper investigated the eavesdropping attacks in wireless ad hoc networks; (2) we propose a novel analytical model on the eavesdropping probability in this paper, where the channel randomness (including Rayleigh fading effect and the shadowing effects) is considered while the previous paper only considered a simplified geometric model; (3) we conduct extensive simulations to verify the accuracy of our proposed model in this paper while the previous paper only presented the numerical results. (i) We formally establish an analytical framework to investigate the probability of eavesdropping attacks in WNoT with consideration of channel randomness.…”

On Modeling Eavesdropping Attacks in Underwater Acoustic Sensor Networks

“…However, to the best of our knowledge, there is no study on investigating the eavesdropping attacks in UASNs. The previous analytical models on investigating the eavesdropping activities in terrestrial wireless sensor networks [ 30 , 35 ] can not be used to UASNs due to the different features of acoustic signals in underwater environments. For example, the path loss effect of an underwater acoustic channel depends on both the distance and the signal frequency.…”