On Parallel Honeynet Log Mining Algorithm using P-Apriori in Cloud Environment

DOI

10.2991/icitmi-15.2015.103How to use a DOI?

Keywords

Honeynet, Log Mining, Cloud Computing, P-Apriori

Abstract

The current analysis on honeynet log mining was facing malpractice of horizontal partitioning and insufficient data problems. By which we use Apriori algorithm with parallel processing to decrease the frequency of database scan operation and set up an improved algorithm S-Apriori, and then P-Apriori algorithm was put forward through better case analysis and vertical partition data origination, which can be integrated with Hadoop parallel Computing environment. Simulations prove that the S-Apriori, P-Apriori algorithm improved compute efficiency significantly, the simulation results are also analyzed by the minimum support, the impact of the number of nodes on the P-Apriori algorithm running time.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun Luo
AU  - Jing Liu
AU  - Song Han
PY  - 2015/10
DA  - 2015/10
TI  - On Parallel Honeynet Log Mining Algorithm using P-Apriori in Cloud Environment
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 627
EP  - 630
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.103
DO  - 10.2991/icitmi-15.2015.103
ID  - Luo2015/10
ER  -