The recent development of human-carried mobile devices has promoted the great development of mobile crowdsensing systems. Most existing mobile crowdsensing systems depend on the crowdsensing service of the deep cloud. With the increasing scale and complexity, there is a tendency to enhance mobile crowdsensing with the edge computing paradigm to reduce latency and computational complexity, and improve the expandability and security. In this paper, we propose an integrated solution to stimulate the strategic users to contribute more for truth discovery in the edge-assisted mobile crowdsensing. We design an incentive mechanism consisting of truth discovery stage and budget feasible reverse auction stage. In truth discovery stage, we estimate the truth for each task in both deep cloud and edge cloud. In budget feasible reverse auction stage, we design a greedy algorithm to select the winners to maximize the quality function under the budget constraint. Through extensive simulations, we demonstrate that the proposed mechanism is computationally efficient, individually rational, truthful, budget feasible and constant approximate. Moreover, the proposed mechanism shows great superiority in terms of estimation precision and expandability.

The development for Internet of Things (IOT) is described based on the advocates of machine-to-machine (M2M) communications. To contribute to the secure development of IOT, the research mainly focuses on the key security management technologies in IOT, including heterogeneous resources management, access control, and behavior detection technology.

Cloud computing brings efficiency improvement on resource utilization nd other benefits such as on-demand service provisioning, location independence and biquitous access, elastic resource pooling, pay as usage pricing mode, etc. However, t also introduces new security issues because the data management and ownership re separated, and the management is operated on a virtualized platform. In this paper, novel dynamic secure interconnection (DSI) mechanism is proposed to isolate he cloud computing system into a couple of dynamic virtual trust zones with different ecurity policies implemented for different customers so as to enhance security. xperimental results are presented to demonstrate the feasibility and effectiveness of he DSI mechanism.