No abstract

The cloud network has the advantages in efficiently offloading the large-scale Internet traffic, which is considered as a promising architecture to provide the satisfactory multimedia services for mobile users. However, most current studies lack the joint consideration of economic and security of services in hybrid cloud networks. In this paper, a novel multimedia service optimization mechanism is proposed hereby to meet the user's requirements mentioned above while guaranteeing the reliability of service. Firstly, a credible scheme is designed to help the mobile users distinguish the reliable cloud providers. Meanwhile, a blockchain-based content credibility approach is further designed to guarantee the reliability and integrity of video contents. Moreover, a noncooperative Stackelberg game model is presented to maximize the profit of each party. Furthermore, the equilibrium of this game is achieved by the methods of backward induction and gradient descent. Finally, extensive simulations demonstrate that our solution has efficient performance in terms of secure service ratio, utility, service pricing, etc.

The manyfold capacity magnification promised by dense 5G networks will make possible the provisioning of broadband multimedia services, including virtual reality, augmented reality, and mobile immersive video, to name a few. These new applications will coexist with classic ones and contribute to the exponential growth of multimedia services in mobile networks. At the same time, the different requirements of past and old services pose new challenges to the effective usage of 5G resources. In response to these challenges, a novel Stochastic Optimization framework for Green Multimedia Services named SOGMS is proposed herein that targets the maximization of system throughput and the minimization of energy consumption in data delivery. In particular, Lyapunov optimization is leveraged to face this optimization objective, which is formulated and decomposed into three tractable subproblems. For each subproblem, a distinct algorithm is conceived, namely quality of experience--based admission control, cooperative resource allocation, and multimedia services scheduling. Finally, extensive simulations are carried out to evaluate the proposed method against state-of-art solutions in dense 5G networks.

Internet of Things (IoT) has been widely used in many fields, bringing great convenience to people’s traditional work and life. IoT generates tremendous amounts of data at the edge of network. However, the security of data transmission is facing severe challenges. In particular, edge IoT nodes cannot run complex encryption operations due to their limited computing and storage resources. Therefore, edge IoT nodes are more susceptible to various security attacks. To this end, a lightweight mutual authentication and key agreement protocol is proposed to achieve the security of IoT nodes’ communication. The protocol uses the reverse fuzzy extractor to acclimatize to the noisy environment and introduces the supplementary subprotocol to enhance resistance to the desynchronization attack. It uses only lightweight cryptographic operations, such as hash function, XORs, and PUF. It only stores one pseudo-identity. The protocol is proven to be secure by rigid security analysis based on improved BAN logic. Performance analysis shows the proposed protocol has more comprehensive functions and incurs lower computation and communication cost when compared with similar protocols.