Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm Improvement
Data mining techniques becomes very useful for all areas, Which gives impressive results and accurate. It is can be works with huge data and variance types data. The intrusion detection system (IDS) has huge numbers of alerts without classify and almost alerts be false positive. In this paper, we p...
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| Format: | Article |
| Language: | English |
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Mustansiriyah University
2018-10-01
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| Series: | Al-Mustansiriyah Journal of Science |
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| Online Access: | http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/286 |
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| author | Karim Hashim Al-Saedi Raghda Abd Alrab Abd Alhassn |
| author_facet | Karim Hashim Al-Saedi Raghda Abd Alrab Abd Alhassn |
| author_sort | Karim Hashim Al-Saedi |
| collection | DOAJ |
| description | Data mining techniques becomes very useful for all areas, Which gives impressive results and accurate. It is can be works with huge data and variance types data. The intrusion detection system (IDS) has huge numbers of alerts without classify and almost alerts be false positive. In this paper, we proposed a new miner module to generating Itemsets of IDS alerts by using FP-Growth Algorithm Improvement, which it is produce from compact Fp growth algorithm with Apriori algorithm. This a new module contains three phases; Compute support, Resort, and Generating K-Itemsets. Its applies on Darpa 1999 datasets to generating Alerts sets based on IDS Snort. The obtain result was very useful because it is make the alerts ready to classify. |
| format | Article |
| id | doaj-art-c1a569eee6ec4adaad5513fb3e1a641b |
| institution | OA Journals |
| issn | 1814-635X 2521-3520 |
| language | English |
| publishDate | 2018-10-01 |
| publisher | Mustansiriyah University |
| record_format | Article |
| series | Al-Mustansiriyah Journal of Science |
| spelling | doaj-art-c1a569eee6ec4adaad5513fb3e1a641b2025-08-20T02:22:38ZengMustansiriyah UniversityAl-Mustansiriyah Journal of Science1814-635X2521-35202018-10-0129111411710.23851/mjs.v29i1.286113Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm ImprovementKarim Hashim Al-Saedi0Raghda Abd Alrab Abd Alhassn1Al-Mustansiriyah University/College of ScienceAl-Mustansiriyah University/College of ScienceData mining techniques becomes very useful for all areas, Which gives impressive results and accurate. It is can be works with huge data and variance types data. The intrusion detection system (IDS) has huge numbers of alerts without classify and almost alerts be false positive. In this paper, we proposed a new miner module to generating Itemsets of IDS alerts by using FP-Growth Algorithm Improvement, which it is produce from compact Fp growth algorithm with Apriori algorithm. This a new module contains three phases; Compute support, Resort, and Generating K-Itemsets. Its applies on Darpa 1999 datasets to generating Alerts sets based on IDS Snort. The obtain result was very useful because it is make the alerts ready to classify.http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/286Apriori Algorithm ,Fp- Growth Algorithm , Data Mining, Network Security |
| spellingShingle | Karim Hashim Al-Saedi Raghda Abd Alrab Abd Alhassn Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm Improvement Al-Mustansiriyah Journal of Science Apriori Algorithm ,Fp- Growth Algorithm , Data Mining, Network Security |
| title | Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm Improvement |
| title_full | Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm Improvement |
| title_fullStr | Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm Improvement |
| title_full_unstemmed | Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm Improvement |
| title_short | Miner Alerts Module To Generate Itemsets Based On FP-Growth Algorithm Improvement |
| title_sort | miner alerts module to generate itemsets based on fp growth algorithm improvement |
| topic | Apriori Algorithm ,Fp- Growth Algorithm , Data Mining, Network Security |
| url | http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/286 |
| work_keys_str_mv | AT karimhashimalsaedi mineralertsmoduletogenerateitemsetsbasedonfpgrowthalgorithmimprovement AT raghdaabdalrababdalhassn mineralertsmoduletogenerateitemsetsbasedonfpgrowthalgorithmimprovement |