Wavelet-based analysis of network security databases

The phenomenal increase in the amounts of network security data are due to the hacker attacks, virus, worm and Shapper etc. Network security log file databases are very important in computer forensics. From researches, a lot of data mining methods have been found, such as content-based queries and similarity searches to manage and use such data. Fast and accurate retrievals for content-based queries are crucial for such numerous database systems to be useful. In this paper, a new method is provided to analyze and mine this kind of time-serial database. We first signalize the NSD databases, then we use these wavelet based transform to analyze the NSD and get the periodic law of intrusion event.