Malware Image Classification Using Deep Learning InceptionResNet-V2 and VGG-16 Method

ABSTRACT

[1]  Zamah Sari,et al.  Malware Image Classification Using Deep Learning InceptionResNet-V2 and VGG-16 Method , 2023, Jurnal Online Informatika.

[2]  M. Akhtar,et al.  Malware Analysis and Detection Using Machine Learning Algorithms , 2022, Symmetry.

[3]  Yeon Soo Lee,et al.  A Survey of the Recent Trends in Deep Learning Based Malware Detection , 2022, J. Cybersecur. Priv..

[4]  Ching-Lung Fan,et al.  Design and Optimization of CNN Architecture to Identify the Types of Damage Imagery , 2022, Mathematics.

[5]  Fuad A. Ghaleb,et al.  Malware Detection Issues, Challenges, and Future Directions: A Survey , 2022, Applied Sciences.

[6]  F. Wahid,et al.  Comparative Analysis of Recent Architecture of Convolutional Neural Network , 2022, Mathematical Problems in Engineering.

[7]  A. Ramanan,et al.  Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study , 2022, Neural Computing and Applications.

[8]  Rabindra Bista,et al.  Image-based Malware Classification using Deep Convolutional Neural Network and Transfer Learning , 2021, AISS.

[9]  Karrar Hameed Abdulkareem,et al.  Image-Based Malware Classification Using VGG19 Network and Spatial Convolutional Attention , 2021, Electronics.

[10]  R. Al-Sayyed,et al.  Deep CNN Model based on VGG16 for Breast Cancer Classification , 2021, 2021 International Conference on Information Technology (ICIT).

[11]  Amjad J. Humaidi,et al.  Review of deep learning: concepts, CNN architectures, challenges, applications, future directions , 2021, Journal of Big Data.

[12]  Ida Bagus Kresna Sudiatmika,et al.  Indonesian Shadow Puppet Recognition Using VGG-16 and Cosine Similarity , 2021, The IJICS (International Journal of Informatics and Computer Science).

[13]  Mohammad Nasser Alenezi,et al.  Evolution of Malware Threats and Techniques: a Review , 2020, Int. J. Commun. Networks Inf. Secur..

[14]  Jugal K. Kalita,et al.  Classifying Malware Images with Convolutional Neural Network Models , 2020, ArXiv.

[15]  Derry Alamsyah,et al.  Implementasi Metode Convolutional Neural Network Menggunakan Arsitektur LeNet-5 untuk Pengenalan Doodle , 2020, Jurnal Algoritme.

[16]  Varun P. Gopi,et al.  Moving Vehicle Candidate Recognition and Classification Using Inception-ResNet-v2 , 2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).

[17]  Youngsoo Kim,et al.  Attention-Based Automated Feature Extraction for Malware Analysis , 2020, Sensors.

[18]  Mariwan Ahmed Hama Saeed,et al.  Malware in Computer Systems: Problems and Solutions , 2020 .

[19]  Qing Guan,et al.  Deep convolutional neural network VGG-16 model for differential diagnosing of papillary thyroid carcinomas in cytological images: a pilot study , 2019, Journal of Cancer.

[20]  Farhan Ullah,et al.  Identification of malicious code variants based on image visualization , 2019, Comput. Electr. Eng..

[21]  Asifullah Khan,et al.  A survey of the recent architectures of deep convolutional neural networks , 2019, Artificial Intelligence Review.