Improved Non-Sieving Quadratic Sieve

In this paper, we give about prime numbers and Blum two theorems and one guess integers.We prove the two theorems about Blum integers.Combining the guess with the primitive non-sieving quadratic sieve,we proposed a improved non-sieving quadratic sieve（INQS）.In INQS,we not only reduce the times of squares and modulo n, but also imply another important conclusion,that is,we don＇t need to find the greatest common divisor of two integers as we do in PNQS.By some examples,we compare it with the primitive non-sieving quadratic sieve（PNQS）. It＇s faster to factor a integer by using improved non-sieving quadratic sieve than the primitive one.     

Two-Party Authenticated Key Agreement in Certificateless Public Key Cryptography

0 Introduction To simplify the management of certificates of tradi- tional PKI, Shamir[1] proposed the identity-based public key cryptography (ID-PKC) in which the public key of each party is derived directly from certain aspects of its identity, for exam…     

A Weighted Algorithm for Watermarking Relational Databases

0 Introduction Watermarking relational database become a hotspot in recent years, it aims to protect copyrights by intro- ducing small errors into the original content without af- fecting the usability for intended purpose. Although some pioneer efforts h…     

A Method to Implement Full Anonymous Attestation for Trusted Computing Platform

Trusted computing （TC） technology is brought out by trusted computing group （TCG） to make computing as safe and reliable as people expect. Attestation is one main function specified by TCG, which is the means by which a trusted computer assures a remote computer whose platform is not tampered with. There are two protocols that implement attestation without disclosing the platform＇s real identity, which are Privacy CA-based protocol and direct anonymous attestation （DAA） protocol. However, in the first protocol the privacy CA is the bottleneck and the platform＇s identity will be disclosed if the privacy CA is compromise, while DAA protocol can do profiling when dealing with rogue hardware device. In this paper, we propose a DAA-extended new approach to ensure full anonymous attestation that can not only detect a rogue TPM, but also reveal rogue TPM＇s real identity.     

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.     

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.