Malware Detection Using Deep Learning and Correlation-Based Feature Selection
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Malware Detection Using Deep Learning and Correlation-Based Feature Selection
Authors
Keywords
-
Journal
Symmetry-Basel
Volume 15, Issue 1, Pages 123
Publisher
MDPI AG
Online
2023-01-02
DOI
10.3390/sym15010123
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- FAM: Featuring Android Malware for Deep Learning-based Familial Analysis
- (2022) Younghoon Ban et al. IEEE Access
- Automatic Malignant and Benign Skin Cancer Classification Using a Hybrid Deep Learning Approach
- (2022) Atheer Bassel et al. Diagnostics
- Android Malware Classification Using Optimized Ensemble Learning Based on Genetic Algorithms
- (2022) Altyeb Taha et al. Sustainability
- Towards a systematic description of the field using bibliometric analysis: malware evolution
- (2021) Sharfah Ratibah Tuan Mat et al. SCIENTOMETRICS
- The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities
- (2021) Ammar Nasif et al. SENSORS
- A Bayesian probability model for Android malware detection
- (2021) Sharfah Ratibah Tuan Mat et al. ICT Express
- Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis
- (2020) Hamid Darabian et al. Journal of Grid Computing
- Platform-Independent Malware Analysis Applicable to Windows and Linux Environments
- (2020) Chanwoong Hwang et al. Electronics
- Malware-Detection Method with a Convolutional Recurrent Neural Network Using Opcode Sequences
- (2020) Seungho Jeon et al. INFORMATION SCIENCES
- A Survey of Android Malware Detection with Deep Neural Models
- (2020) Junyang Qiu et al. ACM COMPUTING SURVEYS
- Permission-based Android Malware Detection System Using Feature Selection with Genetic Algorithm
- (2019) Oktay Yildiz et al. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
- Internet Data Analysis Methodology for Cyberterrorism Vocabulary Detection, Combining Techniques of Big Data Analytics, NLP and Semantic Web
- (2019) Iván Castillo-Zúñiga et al. International Journal on Semantic Web and Information Systems
- DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection
- (2018) Suleiman Y. Yerima et al. IEEE Transactions on Cybernetics
- A machine learning based approach to detect malicious android apps using discriminant system calls
- (2018) Vinod P. et al. Future Generation Computer Systems-The International Journal of eScience
- Android malware detection based on system call sequences and LSTM
- (2017) Xi Xiao et al. MULTIMEDIA TOOLS AND APPLICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now