… area networks. In the present work, the SYN traffic is modeled using Bayesian inference and
… for different types of wireless ad hoc networks by providing necessary modification in the …

… a probabilistic approach for routing based on Bayesian inference is presented in this paper.
… nature of wireless transmissions, which allows nodes to observe the surrounding network …

… The present work modeled the network traffic using Bayesian Inference and … of Wireless
Ad Hoc Network. For detecting low rate and high rate burst attack traffic, packet drop statistics …

… To use the cross-feature analysis system in the dynamic Bayesian game, we consider each
sampling interval of the cross-feature analysis system, eg 5 seconds, as the time period of a …

… This assumption significantly simplifies the analysis of the model as it makes the perfect
Bayesian equilibrium a strong enough equilibrium concept. Otherwise stronger equilibrium …

… Bayesian Network (BN) [1] analysis to … wireless network optimization, and it has been recently
exploited, eg, for predicting the occurrence of congestion in a multi-hop wireless network [2]…

… Bayesian game of detection. In the section Bayesian Nash equilibrium analysis, we derive
a Bayesian … update and dynamic Bayesian games presents our dynamic Bayesian game. In …

… a Bayesian model to predict mobility in ad hoc networks hence … the Bayesian inference
model on the sensor network, we … Then Bayesian inference can be performed with discretized …

… A mobile ad-hoc network (MANET) is a form of wireless networks in which mobile nodes
move … This paper introduces a non GPS-based model to infer the mobility of network nodes in …

… In this paper we show how to infer in advance the congestion state of the network. We … (MCMC)
[13], and 3) the simple ad hoc heuristic proposed in [4]. The first two heuristics are …