Intelligent vision-based malware detection and classification using deep random forest paradigm
Malware is a rapidly increasing menace to modern computing. Malware authors continually
incorporate various sophisticated features like code obfuscations to create malware variants …
incorporate various sophisticated features like code obfuscations to create malware variants …
A new malware classification framework based on deep learning algorithms
Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
Mitigating the risks of malware attacks with deep Learning techniques
Malware has become increasingly prevalent in recent years, endangering people,
businesses, and digital assets worldwide. Despite the numerous techniques and …
businesses, and digital assets worldwide. Despite the numerous techniques and …
A novel deep learning-based approach for malware detection
Malware detection approaches can be classified into two classes, including static analysis
and dynamic analysis. Conventional approaches of the two classes have their respective …
and dynamic analysis. Conventional approaches of the two classes have their respective …
SDIF-CNN: Stacking deep image features using fine-tuned convolution neural network models for real-world malware detection and classification
S Kumar, K Panda - Applied Soft Computing, 2023 - Elsevier
The detection of malware is a complex problem in the area of Internet security. Developing a
malware defense system that is less costly to detect large-scale malware is needed. This …
malware defense system that is less costly to detect large-scale malware is needed. This …
Image-based malware classification using VGG19 network and spatial convolutional attention
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …
computers and other communication devices has tremendously increased. To date …
Vision-based malware detection: A transfer learning approach using optimal ecoc-svm configuration
Currently, malicious software (malware) detection is becoming important due to the
presence of various malware as well as ransomware in digital cyberspace. Advances in …
presence of various malware as well as ransomware in digital cyberspace. Advances in …
An investigation of a deep learning based malware detection system
We investigate a Deep Learning based system for malware detection. In the investigation,
we experiment with different combination of Deep Learning architectures including Auto …
we experiment with different combination of Deep Learning architectures including Auto …
A novel framework for image-based malware detection with a deep neural network
Y Jian, H Kuang, C Ren, Z Ma, H Wang - Computers & Security, 2021 - Elsevier
The rapid growth in the number of malware and its variants has seriously affected the
security of the Internet. In recent years, deep learning combined with visualization …
security of the Internet. In recent years, deep learning combined with visualization …
A hybrid deep learning image-based analysis for effective malware detection
S Venkatraman, M Alazab, R Vinayakumar - Journal of Information Security …, 2019 - Elsevier
The explosive growth of Internet and the recent increasing trends in automation using
intelligent applications have provided a veritable playground for malicious software …
intelligent applications have provided a veritable playground for malicious software …