Research Article
A Comparative Study on Detection of Malware and Benign on the Internet Using Machine Learning Classifiers
Table 1
Android application keyword.
| List of keywords taken as features |
| Permissions | Count | Section-flow | Intent-filter (action) | General specific | Read_MSG | std_fpktl | Total_fhlen | downUpRatio | bAvgBytesPerBulk | Send_MSG | std_bpktl | total_bhlen | fAvgSegmentSize | bAvgPacketsPerBulk | Duration | total_fiat | fPktsPerSecond | fHeaderBytes | bAvgBulkRate | total_f packets | Fpsh_ cnt | bPktsPerSecond | fAvgPacketsPerBulk | bAvgSegmentSize | max_fpktl | bpsh_cnt | flowPktsPerSecond | fAvgPacketsPerBulk | RRT_samples_clnt | max_bpktl | furg_cnt | flowBytesPerSecond | fAvgBulkRate | Act_data_pkt_forward | Mean_ fpktl | Min_ fpkt | — | avgPacket size | — | mean_bpkt | Max_fpkt | — | — | — |
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