Zhi-mi Cheng

A Security Differential Game Model for Sensor Networks in Context of the Internet of Things

A particular challenging problem in designing Internet of Things is that how to detect and prevent internal attacks, because all nodes try their best to save their limited network resource. So it is difficult to achieve optimal objectives simultaneously, game theory provides an appropriate tool. In this paper, we propose a non-cooperative differential game model, which allows all nodes to choose the optimal amount of network resource to invest in information security contingent upon the state of game. In our model, we specifically consider how the vulnerability of information and the potential loss from such vulnerability affects the optimal amount of resources that should be devoted to securing that information. In the paper, the optimal strategies of selfish nodes and malicious nodes are obtained respectively. The simulation results show that our game model has a good performance in stability of the probability that the selfish nodes discover the malicious nodes under the optimal strategies of the selfish and the malicious nodes.

A optimal power control strategy based on network wisdom in wireless networks

Abstract In this paper, the power control problem in wireless networks is investigated and a dynamic power control scheme, namely wisdom power control, is proposed. Wisdom power control is a process in which network nodes can accurately forecast their optimal transmission powers to get profit maximization, and a trade-off between minimum interference level and a desired transmission quality is obtained from the equilibrium of the game.

Efficient Authentication and Key Agreement Protocol with Anonymity for Delay Tolerant Networks

Most of the existing authentication and key agreement protocols for delay tolerant networks are not designed for protecting privacy. In this paper, an authentication and key agreement protocol with anonymity based on combined public key is proposed. The proposed protocol eliminates the need of public key digital certificate on-line retrieval, so that any on-line trusted third party is no longer required, only needs an off-line public information repository and key generation center; and realizes mutual authentication and key agreement with anonymity between two entities. We show that the proposed protocol is secure for all probabilistic polynomial-time attackers, and achieves good security properties, including authentication, anonymity, and confidentiality and so on.

A Cooperative Differential Game of Transmission Power Control in Wireless Networks

This paper presents a transmission power control model for wireless networks. The objective is to guarantee energy efficiency in packet delivery and reduce mutual interference, finally improves network performance. The problem is addressed through a cooperative differential game model, which takes more consideration on the interaction between the sources’ strategic behaviors, fairness among sources and the dynamic evolution of interference level.

Dynamic DTN Routing Strategies Based on Knowledge

This paper presents a novel based-knowledge dynamic routing model with rate allocation for delay-tolerant networks (DTNs). The objectives are how to embody knowledge about destination offered by joint nodes and how to apply knowledge about destination to transfer data when the instantaneous end-to-end paths do not exist in DTNs. The first problem is addressed through a rate allocation model. For rate allocation, taking into account the dynamic feature of rate control as well as the selfish nature of joint nodes, we design a non-cooperative differential game model to offer efficient rate allocation scheme with the constraint of limited bandwidth, and obtain a feedback Nash equilibrium solution of the game. In this study, knowledge is valued information and provides advisable solutions to problems. For the second problem, assuming that the obtained value function in rate allocation model is the available knowledge about destination of joint node; with this assumption, a polynomial time routing algorithm is proposed to describe the procedure of the routing model.

A Transmission Rate Control Algorithm Based on Non-cooperative Differential Game Model in Deep Space Networks

Designing a fair and efficient rate allocation scheme to maximize network performance is a challenging issue for deep space networks. Transmission rate not only affects link signal quality, but also affects network performance. In this study, a novel rate allocation framework based on differential game to settle rate allocation problems among different sources in deep space networks is proposed, and rate allocation criteria based on feedback Nash equilibrium solution is formulated. Theoretical analysis and numerical simulation demonstrate our proposed optimal rate allocation scheme can be used to maximize network performance.

Key Management in Secure Satellite Multicast Using Key Hypergraphs

Satellite networks play an important role in today’s information age because they can provide the global coverage services. Information security is an important concern in satellite multicast communications, where eavesdropping can be performed much easier than the fixed terrestrial networks. In this work, a novel multicast key management scheme based on key hypergraph for satellite networks on a predefined communication scenario is proposed. We use logical key hierarchy and distributed-logical key hierarchy as reference models for performance comparisons. It is shown that the proposed multicast key management scheme is scalable to large dynamic groups and minimizes satellite bandwidth usage.

A Cooperative Differential Game Model for Multiuser Rate-Based Flow Control

Flow control is one typical resource management tool. Its objectives are to adjust the traffic in the network, and resolve data traffic congestion, maximize the utilization of available bandwidth resource and realize fairness among different sources. Taking more consideration on the interaction and the dynamic characteristics of the flow, in this paper, we propose a cooperative differential game of flow control. Our goal is to assign sources with appropriate transmission rate levels so as to the queue length in the bottleneck link is optimal for the network performance and their benefits are maximal. We derive a payment distribution mechanism that would constitute a time-consistent solution and guarantee individual rationality.

A wisdom rate allocation scheme in wireless networks

Abstract In this paper, a novel dynamical rate allocation scheme, namely the wisdom rate allocation scheme, is proposed. It is a process where all sources can accurately predict their optimal transmission rates that they will take when looking ahead, so that the arrived and accumulated amount of packets is optimal for network performance, and the transmission rate requirement and the fairness of rate allocation can be fulfilled from the equilibrium of the game.

New Trend of Network: Wisdom

With the continuous development of high and new technology, network with wisdom will become the trend of network development. In this paper, we propose a novel architecture for network with wisdom based on the challenges faced existing network, and measure the wisdom of network.