An Authentication Method of Distinguishing Proxy＇s Secure Accident Responsibility

The publish/subscribe （pub/sub） paradigm has asynchronous, loosely-coupled and many-to-many communication properties and is widely used in the application of large-scale distributed computing environment. There is the problem that is mutual trustable between network proxies in terms of pub/sub systems and the problem which is hardly to distinguish accident responsibility while the accident happens in Kerberos based on symmetrical encryption algorithm. A proxy identity authentication algorithm based on RSA encryption is proposed to solve the problem of mutual trust between proxies, and the security of the messages is guaranteed through certificate delegation. The algorithm can distinguish accident responsibility. The feasibility analysis, security analysis and efficiency analysis of the algorithm are carried out.     

An Improved Identity-Based Society Oriented Signature Scheme with Anonymous Signers

In this paper, we present an improved identity-based society oriented signature scheme with anonymous signers, which satisfies： （1） when members leave or join an organization, the public verification key and the signature verification procedure are unchanged; （2） a user participates in several organizations at the same time, her secret key is only related with her identity. However, no previous schemes have these two properties.     

Intrusion Detection Method for Program Vulnerability via Library Calls

Library function call sequence is the direct reflection of a program＇s behavior. The relationship between program vulnerability and library calls is analyzed, and an intrusion detection method via library calls is proposed, in which the short sequences of library call are used as signature profile. In this intrusion detection method, library interposition is used to hook library calls, and with the discussion of the features of the library call sequence in detail, an algorithm based on information-theory is applied to determine the appropriate length of the library call sequence. Experiments show good performance of our method against intrusions caused by the popular program vulnerabilities.     

Learning Vector Quantization Neural Network Method for Network Intrusion Detection

A new intrusion detection method based on learning vector quantization （LVQ） with low overhead and high efficiency is presented. The computer vision system employs LVQ neural networks as classifier to recognize intrusion. The recognition process includes three stages： （1） feature selection and data normalization processing;（2） learning the training data selected from the feature data set; （3） identifying the intrusion and generating the result report of machine condition classification. Experimental results show that the proposed method is promising in terms of detection accuracy, computational expense and implementation for intrusion detection.     

Fair E-Payment Protocol Based on Simple Partially Blind Signature Scheme

0 Introduction The advent of E-commerce demands for a secure communication of digital information. It has been proven for years that this can be achieved by cryptography. Digital signature schemes are essential for E-commerce as they allow one to authoriz…     

Offlattice Model in the Prediction of Protein 3D Structure

3-dimension HPNX offiattice model is developed from the 2-dimension HP offiattice model. In the HP model, 20 types of amino acid monomers are divided into two classes, H （non-polar monomer） and P （polar monomer）. In the HPNX model, polar monomers are split into positively charged （P）, negatively charged （N） and neutral （X） monomers. A new evolutionary algorithm is applied to study long chains of the HPNX offiattice protein model. This method successfully predict the structures of several proteins in the 3-dimension space that are similar to the structures gotten by X-Ray Crystallography and NMR and published in the PDB（Protein Data Bank）.     

Development and Research on the Internet Resources Aggregation Platform

We proposed an Intemet resource aggregation platform based on semantic web. The platform includes an Web Ontology Language（OWL） ontology design toolkit（VO-Editor） and a selective inference algorithm engine so that it can visually editing ontology and using novel selective reasoning for information aggregation. We introduce the VO-Editor and the principle of selective inference algorithm. At last a case of budget travel system is used to interpret the approach of Internet resources aggregation by this platform.     

Joint Power Control Algorithm for CDMA TDD System

Current uplink power control algorithm of code division multiple access （CDMA） time division duplex（TDD） system contains signal-to-interference-ratio（SIR） and interference measurement, which is based on history information. However, the adjustment of transmission power of one user equipment（UE） will affect SIR of the others, because the power control is done independently of the power adjustment of other UE＇s. So the convergence speed of power control is not fast and the system performance degrades. In the proposed algorithm, all UE＇s assigned in same time slot adjust their transmission power based on current information, which takes into account the adjustments of transmission power of all UE＇s. The simulation results indicated that the proposed algorithm outperforms the old algorithm.     

基于现场总线思想的电子商务集散结构模型

电子商务究其实质是一种自动化程度很高的商业活动，因此可以将自控领域最新的现场总线控制系统技术思想移植到电子商务结构中，供此优化电子商务系统的整体性能，笔者研究了在这种技术思想指导下，构建适合电子商务运行环境的采用分散和集中相结合结构的电子商务集散结构模型，并结合网上商店、认证中心、物流配送中心的集散结构模型，经过分析论证得出采用集散结构的电子商务系统具有分散结构可靠性高、响应速度快、扩展性强、易于重构和集中结构系统整体效率最优的结论。     

债转股企业的选择及其机制设计

国有企业债转股是有关利益集团围绕企业金融资源支配及企业控制权展开利益冲突的动态博弈过程，债转股实施进程应该在对各方都有利可图或者至少不被直接损害的交易中渐次完成。基于信息经济学理论框架上分析两局中人（资产管理公司和企业）有关债转股企业选择的博弈过程，认为如何挑选拟债转股企业实际上是一个机制设计的问题，当严格分析了申请债转股的企业（本质上是企业领导人）的期望效用函数并由此采取了相应的应对措施时，一个有关债转股企业选择的政策框架就形成了。