Wi-Fi networks and its users are more and more nume rous. Unfortunately, the risk of using one Wi-Fi or another varies because there is no means of selecti ng the most trustworthy hotspot. Mobile wireless connections are still risky and the performance varies greatly depending on the different nearby networks connections. For instance, new soft Access Point (A P) may easily spoof the identity of another AP unde r maintenance and thus compromise the privacy or the power consumption of the users’ mobiles. Our solution proposes using trust management to mitigat e malicious APs. We define a malicious AP in two ways: first the AP is defined such as an AP which c heats by capturing users’ sensitive information while the user surfs the Web during their connection to t his AP. Second, the AP is defined such as an AP which constrains user to use a lot of battery of th e users’ mobile by constraining to use encryption when the user does not need that. We have analyzed the n etwork utilization and power consumption of mobile devices in the case of Geneva Hotspot AP locations. We have validated our proposed solution under resource constraints through simulation based on dynamic simulation tools named AnyLogic. In second part of this paper we present a solution that solution allows the users to rate the networks they have used and to check that their rating corresponds to the true network quality they have experienced by measuring and certifying Quality of Service (QoS) e vidence such as delay, jitter and packet loss. We u se Quality of Service (QoS) evidence such as Delay, Ji tter, Packet Loss to compute a trust value. This tr ust value will define the state of the AP (Good, Bad). W e validate our solution by proving when this certification is irrefutable.