Wavelet based data mining and querying in network security databases

The phenomenal increase in the amounts of network security data are due to the hacker attacks, virus, worm and Slapper etc. Network security log databases are very important in intrusion detection and computer forensics. A lot of data mining methods to research it have been found. 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. After signalize the NSD databases, we first represent a DWT wavelet transform analysis algorithm, then present two wavelet-based algorithms GET/spl I.bar/INDICES and QUERY for querying the complex and numerous NSD, and finally give the experimental result using these algorithms.