In current cloud services, users put their data and resources into the cloud so as to enjoy the on-demand high quality applications and services. Different from the conventional services, users in cloud services lose control of their data which is instead manipulated by the large-scale cloud. Therefore, cloud service providers (CSP) guarantee that the cloud which they provide is of high confidence in accuracy and integrity. Traditional penetration test is carried out manually and has low efficiency. In this paper, we propose FPTC, a novel framework of penetration test in cloud environment. In FPTC, there are managers, executors and toolkits. FPTC managers guide FPTC executors to gather information from the cloud environment, generate appropriate testing scenarios, run matched tools in the toolkit and collect test results to do evaluation. The capacity and quality of the toolkit is a key issue in FPTC. We develop a prototype in which FPTC is implemented and the experimental results show that FPTC is helpful to automatically carry out penetration test in cloud environment.

With the development of large scale wireless networks, there has been short comings and limitations in traditional network topology management systems. In this paper, an adaptive algorithm is proposed to maintain topology of hybrid wireless superstore network by considering the transactions and individual network load. The adaptations include to choose the best network connection for the response, and to perform network Connection switching when network situation changes. At the same time, in terms of the design for topology management systems, aiming at intelligence, real-time, the study makes a step-by-step argument and research on the overall topology management scheme. Architecture for the adaptive topology management of hybrid wireless networking resources is available to user’s mobile device. Simulation results describes that the new scheme has outperformed the original topology management and it is simpler than the original rate borrowing scheme.

To analyze N-Queens problem in permutation space, this paper defines isomorphic operations of permutation to dihedral group D4. With these operations to find elements within an orbit, two operations on orbits are also defined to generate new orbit from existing ones. Orbit signature is proposed to uniquely identify different orbits in orbit space. A search algorithm based on orbit signature is presented, and finally the effectiveness of the algorithm is illustrated by an example.

The inherent mobility of MP2P peers lead to an efficient of existing resources positioning method low, and the proposed application model is single. The proposed methods considered the resource positioning in the direction of the resource provider's, and implement it base on the diffusion resource index, which are spread in the model of epidemic. Networking connectivity model is built in the diffusion path. Diffusion resources index are used to position resources, so as to solve the low positioning efficiency of existing positioning method and large time delay. By comparing the proposed method, the flooding resource location method and the Structural resources localization methods, the obtained simulation results show that the proposed method can effectively improve resource efficiency and accuracy of the location method.

Since powerful supervision on the mobile valueadded services is lacking nowadays, the mobile market goes into a tendency of being rather chaotic. This research will analyze the behavior of both the service providers and mobile operators, with game theory model to be established. Moreover, the Nash Equilibrium will also be considered which shows that the costs and extent of the mobile operator’s supervision besides the penalty for the service provider’s being caught will definitely influence the probability for service providers to violate the rules. On the other hand, the proportion of illegal gains shared by mobile operators and the penalty degree for service providers may be the main factors that affect the mobile operator’s supervision choices. At last suggestions are made on the service provider’s strategic choices.

With the development of web technology, spreading of Trojan and viruses via website vulnerabilities is becoming increasingly common. To solve this problem, we propose a system for malicious links detection based on security relevance of webpage script text and present the design and implementation of this system. Firstly, according to the current analysis of malicious links, we describe requirements and the general design for detection system. Secondly we describe the security-related algorithm with mathematical language, and give the data structure of this algorithm. Finally, we analyze and summarize the experimental results, and verify the reliability and rationality of system.

On the features of short content and nearly real-time broadcasting velocity of micro-blog information, our lab constructed a public opinion corpus named MPO Corpus. Then, based on the analysis of the status of the network public opinion, it proposes an approach to calculate the sentiment intensity from three levels on words, sentences and documents respectively in this paper. Furthermore, on the basis of the MPO Corpus and HowNet Knowledge-base and sentiment analysis set, the feature words’ semantic information is brought into the traditional vector space model to represent micro-blog documents. At the same time, the documents are classified by the subjects and sentiment intensity. Therefore, the experiment result indicates that the proposed method improves the efficiency and accuracy of the micro-blog content classification，the public opinion characteristics analysis and supervision in this paper. Thus, it provides a better technical support for content auditing and public opinion monitoring for micro-blog platform.

This paper describes a new method of frequency estimation in cell search of TD-SCDMA system. Before identifying the scrambling code and Midamble code, using part of sync-dl code data for frequency estimation; and before controlling the multi-frame synchronization, using part of Midamble code data for frequency estimation. Also these two sets of estimation can be done under the same frequency estimation structure by using the same 64 chip input in order to save hardware resources. The simulation results show that even with certain sample differences, this method can keep the residual frequency differences within 0.05 PPM by averaging out the subframe or by IIR filtering to satisfy the requirement of frequency estimation for TDSCDMA system.