Malware Detection on Byte Streams of PDF Files Using Convolutional Neural Networks
Joint Authors
Jeong, Young-Seob
Woo, Jiyoung
Kang, Ah Reum
Source
Security and Communication Networks
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
With increasing amount of data, the threat of malware keeps growing recently.
The malicious actions embedded in nonexecutable documents especially (e.g., PDF files) can be more dangerous, because it is difficult to detect and most users are not aware of such type of malicious attacks.
In this paper, we design a convolutional neural network to tackle the malware detection on the PDF files.
We collect malicious and benign PDF files and manually label the byte sequences within the files.
We intensively examine the structure of the input data and illustrate how we design the proposed network based on the characteristics of data.
The proposed network is designed to interpret high-level patterns among collectable spatial clues, thereby predicting whether the given byte sequence has malicious actions or not.
By experimental results, we demonstrate that the proposed network outperform several representative machine-learning models as well as other networks with different settings.
American Psychological Association (APA)
Jeong, Young-Seob& Woo, Jiyoung& Kang, Ah Reum. 2019. Malware Detection on Byte Streams of PDF Files Using Convolutional Neural Networks. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1210613
Modern Language Association (MLA)
Jeong, Young-Seob…[et al.]. Malware Detection on Byte Streams of PDF Files Using Convolutional Neural Networks. Security and Communication Networks No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1210613
American Medical Association (AMA)
Jeong, Young-Seob& Woo, Jiyoung& Kang, Ah Reum. Malware Detection on Byte Streams of PDF Files Using Convolutional Neural Networks. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1210613
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210613