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 index compression techniques, various encoding algorithms have been(More)
Traffic archival, an indispensable task for network analysis, has suffered from a huge amount of data. These rapid growing data can exceed storage capacity and thwart real-time analysis. In order to take insight from Internet traffic, bitmap indexing is applied in this field. However, raw bitmap indexes can consume more space and longer delay for loading(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)
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)
With the growing popularity of Internet applications and the widespread use of mobile Internet, Internet traffic has maintained rapid growth over the past two decades. Internet Traffic Archival Systems (ITAS) for packets or flow records have become more and more widely used in network monitoring, network troubleshooting, and user behavior and experience(More)
Bitmap indexing is a promising approach for indexing. However the huge space consumption hinders the wide adoption of bitmap indexing, especially in memory-critical area such as packet classification. To this end, a variety of compression scheme are proposed to reduce the space consumption and simultaneously maintain the fast calculation which is a focused(More)
Efficient retrieval of traffic archival data is a must-have technique to detect network attacks, such as APT(advanced persistent threat) attack. In order to take insight from Internet traffic, the bitmap index is increasingly used for efficiently querying over large datasets. However, a raw bitmap index leads to high space consumption and overhead on(More)
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