Papers by Author: Zhi Shu Li

Abstract: The chaotic behaviors of the Arneodo’s system are investigated in this paper. Based on the Arneodo's system characteristic equation, the equilibria of the system and the conditions of Hopf bifurcations are obtained, which shows that Hopf bifurcations occur in this system. Then using the normal form theory, we give the explicit formulas which determine the stability of bifurcating periodic solutions and the direction of the Hopf bifurcation. Finally, some numerical examples are employed to demonstrate the effectiveness of the theoretical analysis.

Abstract: P2P network is open, anonymous, dynamical in contrast with conventional network. It’s full of dishonesty, deceit, selfishness. It’s necessary to build a robust security infrastructure system. The one important module of security infrastructure is to identify the users in transactions. This paper will propose an identification solution based on PKI. In our algorithm, the peer generates their public-private key pairs by themselves, to issue certificates, and perform authentication without any centralized services. It can realize the identification, meanwhile keep peers anonymous. Moreover, it can limit the quantity of ID that a user applies for; alleviate the risk of Sybil attack.

Abstract: In an open P2P network environment, it’s full of various malicious actions ,dishonesty, deceit, selfish and so on. So it’s necessary to build a robust trust manage system to keep the community run healthily. There are mainly two kinds of trust system, one is based on Global Trust. the system maintains a Global Trust value for every peer. The other one is based on peer itself, it rates the object peer trust according to historical transactions between them or recommendation from the other peers. Because the second trust manage system mainly bases on Fuzzy algorithm, we call it Fuzzy Trust system. The paper will focus on Fuzzy Trust system, we will introduce the related algorithms and involve Outlier Identification algorithm to alleviate the risk from malicious action.