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The information technology rapidly development and dramatically changed the life style people, in addition to shortening the distance of communication, but also promote the smooth exchange of information flows. However, derivatives to facilitate the relative safety of these issues, since into the digital information age, the majority of the practitioners of engineering and technical personnel and technical workers in terms of technology, information security is increasingly becoming an important issue. The RSA algorithm was published in 1978. It is a kind of very popular and widely application modem cryptosystem in the world. Even though there are lots of articles to discuss about how to break the RSA, but it is still secure today. In this paper, the authors would like to introduce a variant attack to RSA.

The purpose of this study is to use an adaptive-network-based fuzzy inference system to model a fuzzy logic-based system (FIS) for supporting decision-making process in B2C electronic commerce transaction. Firstly we introduce FIS in B2C electronic commerce transaction and ANFIS. Then we use ANFIS to model FIS with different membership functions(MF). Lastly we give a conclusion.

The estimation of neural active sources from the magnetoencephalography (MEG) data is a very critical issue for both clinical neurology and brain functions research. A widely accepted source-modeling technique for MEG involves calculating a set of equivalent current dipoles (ECDs). Depth in the brain is one of difficulties in MEG source localization. Particle swarm optimization(PSO) is widely used to solve various optimization problems. In this paper we discuss its ability and robustness to find the global optimum in different depths of the brain when using single equivalent current dipole (sECD) model and single time sliced data. The results show that PSO is an effective global optimization to MEG source localization when given one dipole in different depths.

In 2006, Lee, Wu and Tsaur proposed a novel denial authentication protocol based on Elgamal-like signature scheme. The scheme belong non-interactive operation, and replace the underlying signature scheme in order to retain a secure status even if the previously used signature method is broken. Tain et al. pointed out the Lee et al.’s scheme exists the key compromise impersonation problem. However Tian et al. did not detail the attack scenario. In this paper, the authors would give a forgery attack without Tain’s assumption.

We studied a relation of chaotic dynamics of finger plethysmogram to complexity of high cerebral center in both theoretical and experimental approaches. We proposed a mathematical model to describe emergence of chaos in finger tip pulse wave, which gave a theoretical prediction indicating increased chaoticity in higher cerebral center leading to an increase of chaos dynamics in plethysmograms. We designed an experiment to observe scalp‐EEG and finger plethysmogram using two mental tasks to validate the relationship. We found that scalp‐EEG showed an increase of the largest Lyapunov exponents (LLE) during speaking certain voices. Topographical scalp map of LLE showed enhanced arise around occipital and right cerebral area. Whereas there was decreasing tendency during listening music, where LLE scalp map revealed a drop around center cerebral area. The same tendency was found for LLE obtained from finger plethysmograms as ones of EEG under either speaking or listening tasks. The experiment gave results that agreed well with the theoretical relation derived from our proposed model.