Mal2d: 2d Based Deep Learning Model for Malware Detection Using Black and White Binary Image

被引：4

作者：

Cho, Minkyoung ^{[1
]}

Kim, Jik-Soo ^{[1
]}

Shin, Jongho ^{[1
]}

Shin, Incheol ^{[2
]}

机构：

[1] Myongji Univ, Dept Comp Eng, Seoul, South Korea

[2] Mokpo Natl Univ, Dept Comp Engn, Muan Gun, Jeollanam Do, South Korea

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2020年 / E103D卷 / 04期

关键词：

malware detection; deep learning; binary image;

D O I：

10.1587/transinf.2019EDL8146

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose an effective 2d image based end-to-end deep learning model for malware detection by introducing a black & white embedding to reserve bit information and adapting the convolution architecture. Experimental results show that our proposed scheme can achieve superior performance in both of training and testing data sets compared to well-known image recognition deep learning models (VGG and ResNet).

引用

页码：896 / 900

页数：5

共 50 条

[1] Deep-learning-based Markerless Tumor Localization using 2D KV/MV Image
Lei, Yang
Tian, Zhen
Qiu, Richard
Wang, Tonghe
Roper, Justin
Higgins, Kristin
Bradley, Jeffrey D.
Liu, Tian
Yang, Xiaofeng
MEDICAL IMAGING 2022: IMAGE PROCESSING, 2022, 12032
[2] 2D Photogrammetry Image of Scoliosis Lenke Type Classification Using Deep Learning
Sabri, Nurbaity
Hamed, Haza Nuzly Abdull
Ibrahim, Zaidah
Ibrahim, Kamalnizat
2019 IEEE 9TH INTERNATIONAL CONFERENCE ON SYSTEM ENGINEERING AND TECHNOLOGY (ICSET), 2019, : 437 - 440
[3] 2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning
Xu, Zhenda
Ouyang, Jiazi
Gao, Qiang
Gan, Aiqian
Zhou, Qihua
Hu, Jiahao
Guo, Song
BIOINFORMATICS RESEARCH AND APPLICATIONS, ISBRA 2022, 2022, 13760 : 330 - 342
[4] 2D left ventricle segmentation using deep learning
Smistad, Erik
Ostvik, Andreas
Haugen, Bjorn Olav
Lovstakken, Lasse
2017 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2017,
[5] Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology
Daneshmand, Mitra
Panfilov, Egor
Bayramoglu, Neslihan
Korhonen, Rami K.
Saarakkala, Simo
JOURNAL OF ORTHOPAEDIC RESEARCH, 2024, 42 (07) : 1473 - 1481
[6] Cardiac Arrhythmia Detection from 2D ECG Images by Using Deep Learning Technique
Izci, Elif
Ozdemir, Mehmet Akif
Degirmenci, Murside
Akan, Aydin
2019 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO), 2019, : 121 - 124
[7] Pseudo-Image and Sparse Points: Vehicle Detection With 2D LiDAR Revisited by Deep Learning-Based Methods
Chen, Guang
Wang, Fa
Qu, Sanqing
Chen, Kai
Yu, Junwei
Liu, Xiangyong
Xiong, Lu
Knoll, Alois
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) : 7699 - 7711
[8] 2D inversion of magnetotelluric data using deep learning technology
Xiaolong Liao
Zeyu Shi
Zhihou Zhang
Qixiang Yan
Pengfei Liu
Acta Geophysica, 2022, 70 : 1047 - 1060
[9] Grayscale medical image segmentation method based on 2D&3D object detection with deep learning
Yunfei Ge
Qing Zhang
Yuantao Sun
Yidong Shen
Xijiong Wang
BMC Medical Imaging, 22
[10] 2D inversion of magnetotelluric data using deep learning technology
Liao, Xiaolong
Shi, Zeyu
Zhang, Zhihou
Yan, Qixiang
Liu, Pengfei
ACTA GEOPHYSICA, 2022, 70 (03) : 1047 - 1060

← 1 2 3 4 5 →