Wenxun Zheng

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—Archiving of Internet traffic is essential for analyzing network events in the field of network security. Currently, bitmap indexing is used to accelerate the indexing and search queries for archival traffic data. However, the generation of bitmap index needs large storage space, which makes bitmap index compression is a must-have function. In this paper,(More)
Archiving of the Internet traffic is essential for analyzing network events in the field of network security and network forensics. The bitmap index is widely used to achieve fast searching in archival traffic data requiring a large storage space. As current state-of-art, WAH, PLWAH and COMPAX are proposed for compressing bitmap indexes. In this paper, a(More)
—Bitmap index is widely used in archiving and searching of Internet traffic, which is an essential step for analyzing network events in the field of network forensics. However, bitmap index requires a large storage space for fast searching in archival data. As current state-of-the-art bitmap advantages of fast query speed and easy implementation, PLWAH is(More)
—Bitmap indexing is flexible to conduct boolean operations in data retrieval. Besides, the query processing based on bitmap indexing is also very fast. Therefore it has been widely used in various big data analytics platforms, such as Druid and Spark etc. However, bitmap index can consume a large amount of memory, which leads to the invention of different(More)
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