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 Shipper etc. Network security log file databases are very important in computer forensics. A lot of data mining methods to research it 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 transforms to analyze the NSD and get the periodic law of intrusion event.