Sumav: A Scheme for Selecting a Keyword from Detection Names using Conditional Probability

Sumav: A Scheme for Selecting a Keyword from Detection Names using Conditional Probability

With the rapid increase of malware, the detection and recognition of malware are getting hard. In this paper, we propose a scheme for selecting the representative malware keyword from malicious files selected from multiple antivirus engines. Using a token policy and a conditional probability among t...

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Bibliographic Details
Published in:2020 International Conference on Information and Communication Technology Convergence (ICTC) pp. 1557 - 1559
Main Authors: Kim, Sangwon, Kim, Bora, Kim, Suyoung, Jung, Wookhyun, Lee, Buyngmoo, Tak Kim, Eui
Format: Conference Proceeding
Language:English
Published: IEEE 21-10-2020
Subjects:
antivirus
detection
keyword
summarize
Online Access:Get full text
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Summary:With the rapid increase of malware, the detection and recognition of malware are getting hard. In this paper, we propose a scheme for selecting the representative malware keyword from malicious files selected from multiple antivirus engines. Using a token policy and a conditional probability among the nodes, we solved the problem with manual effort in previous studies. Through the experiment using real dataset from VT, we proved that the accuracy of representativeness has improved.
DOI:10.1109/ICTC49870.2020.9289189