Classifying Malicious Documents on the Basis of Plain-Text Features: Problem, Solution, and Experiences
Cyberattacks widely occur by using malicious documents. A malicious document is an electronic document containing malicious codes along with some plain-text data that is human-readable. In this paper, we propose a novel framework that takes advantage of such plaintext data to determine whether a giv...
Main Authors: | Jiwon Hong, Dongho Jeong, Sang-Wook Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/8/4088 |
Similar Items
-
Malicious code in the cloud
by: Dragan Z. Damjanović
Published: (2022-07-01) -
Detecting Malicious Code by Binary File Checking
by: Marius POPA
Published: (2014-01-01) -
Detection of Obfuscated Malicious JavaScript Code
by: Ammar Alazab, et al.
Published: (2022-07-01) -
Explainable Ensemble Learning Based Detection of Evasive Malicious PDF Documents
by: Suleiman Y. Yerima, et al.
Published: (2023-07-01) -
Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files
by: Fouad Trad, et al.
Published: (2023-03-01)