Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection
Ransomware is able to attack and take over access of the targeted user's computer. Then the hackers demand a ransom to restore the user's access rights. Ransomware detection process especially in big data has problems in term of computational processing time or detection speed. Thus, it re...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/98677/1/MohdYazidIdris2022_TimeEfficiencyonComputationalPerformance.pdf |
| _version_ | 1796866667696881664 |
|---|---|
| author | Purnama, Benni Stiawan, Deris Hanapi, Darmawijoyo Idris, Mohd. Yazid Sharipuddin, Sharipuddin Nurul Afifah, Nurul Afifah Budiarto, Rahmat |
| author_facet | Purnama, Benni Stiawan, Deris Hanapi, Darmawijoyo Idris, Mohd. Yazid Sharipuddin, Sharipuddin Nurul Afifah, Nurul Afifah Budiarto, Rahmat |
| author_sort | Purnama, Benni |
| collection | ePrints |
| description | Ransomware is able to attack and take over access of the targeted user's computer. Then the hackers demand a ransom to restore the user's access rights. Ransomware detection process especially in big data has problems in term of computational processing time or detection speed. Thus, it requires a dimensionality reduction method for computational process efficiency. This research work investigates the efficiency of three dimensionality reduction methods, i.e.: Principal Component Analysis (PCA), Factor Analysis (FA) and Truncated Singular Value Decomposition (TSVD). Experimental results on CICAndMal2017 dataset show that PCA is the fastest and most significant method in the computational process with average detection time of 34.33s. Furthermore, result of accuracy, precision and recall also show that the PCA is superior compared to FA and TSVD. |
| first_indexed | 2024-03-05T21:15:36Z |
| format | Article |
| id | utm.eprints-98677 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:15:36Z |
| publishDate | 2022 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | utm.eprints-986772023-01-30T04:51:22Z http://eprints.utm.my/98677/ Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection Purnama, Benni Stiawan, Deris Hanapi, Darmawijoyo Idris, Mohd. Yazid Sharipuddin, Sharipuddin Nurul Afifah, Nurul Afifah Budiarto, Rahmat QA75 Electronic computers. Computer science Ransomware is able to attack and take over access of the targeted user's computer. Then the hackers demand a ransom to restore the user's access rights. Ransomware detection process especially in big data has problems in term of computational processing time or detection speed. Thus, it requires a dimensionality reduction method for computational process efficiency. This research work investigates the efficiency of three dimensionality reduction methods, i.e.: Principal Component Analysis (PCA), Factor Analysis (FA) and Truncated Singular Value Decomposition (TSVD). Experimental results on CICAndMal2017 dataset show that PCA is the fastest and most significant method in the computational process with average detection time of 34.33s. Furthermore, result of accuracy, precision and recall also show that the PCA is superior compared to FA and TSVD. Institute of Advanced Engineering and Science 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/98677/1/MohdYazidIdris2022_TimeEfficiencyonComputationalPerformance.pdf Purnama, Benni and Stiawan, Deris and Hanapi, Darmawijoyo and Idris, Mohd. Yazid and Sharipuddin, Sharipuddin and Nurul Afifah, Nurul Afifah and Budiarto, Rahmat (2022) Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection. Indonesian Journal of Electrical Engineering and Informatics, 10 (1). pp. 102-111. ISSN 2089-3272 http://dx.doi.org/10.52549/ijeei.v10i1.3481 DOI: 10.52549/ijeei.v10i1.3481 |
| spellingShingle | QA75 Electronic computers. Computer science Purnama, Benni Stiawan, Deris Hanapi, Darmawijoyo Idris, Mohd. Yazid Sharipuddin, Sharipuddin Nurul Afifah, Nurul Afifah Budiarto, Rahmat Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection |
| title | Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection |
| title_full | Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection |
| title_fullStr | Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection |
| title_full_unstemmed | Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection |
| title_short | Time efficiency on computational performance of PCA, FA and TSVD on ransomware detection |
| title_sort | time efficiency on computational performance of pca fa and tsvd on ransomware detection |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/98677/1/MohdYazidIdris2022_TimeEfficiencyonComputationalPerformance.pdf |
| work_keys_str_mv | AT purnamabenni timeefficiencyoncomputationalperformanceofpcafaandtsvdonransomwaredetection AT stiawanderis timeefficiencyoncomputationalperformanceofpcafaandtsvdonransomwaredetection AT hanapidarmawijoyo timeefficiencyoncomputationalperformanceofpcafaandtsvdonransomwaredetection AT idrismohdyazid timeefficiencyoncomputationalperformanceofpcafaandtsvdonransomwaredetection AT sharipuddinsharipuddin timeefficiencyoncomputationalperformanceofpcafaandtsvdonransomwaredetection AT nurulafifahnurulafifah timeefficiencyoncomputationalperformanceofpcafaandtsvdonransomwaredetection AT budiartorahmat timeefficiencyoncomputationalperformanceofpcafaandtsvdonransomwaredetection |