In recent years, with the spread of the Internet, the number of spam e-mail has become one of the most serious problems. A recent report reveals that 91% of all e-mail exchanged in 2006 was spam. Using the Bayesian filter is a popular approach to distinguish between spam and legitimate e-mails. It applies the Bayes theory to identify spam. This filter proffers high filtering precision and is capable of detecting spam as per personal preferences. However, the number of image spam, which contains the spam message as an image, has been increasing rapidly. The Bayesian filter is not capable of distinguishing between image spam and legitimate e-mails since it learns from and examines only text data. Therefore, in this study, we propose an antiimage spam technique that uses image information such as file size. This technique can be easily implemented on the existing Bayesian filter. In addition, we report the results of the evaluations of this technique.
For the security technology that has been achieved with software in the computer system and the protection of the intellectual property right of software, software protection technology is necessary. One of those techniques is called obfuscation, which converts program to make analysis difficult while preserving its function. In this paper, we examine the applicability of our program obfuscation scheme to complicate control flow and study the tolerance against program analysis. T. Enokido et al. (Eds.): EUC Workshops 2005, LNCS 3823, pp. 916-925, 2005. c IFIP International Federation for Information Processing 2005
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