Topics
natural language processing (NLP)Music genre
CNNBroadcaster
deep learningOrganisation
malwareMusic genre
memoryElection
Signature and anomaly based detection have long been quintessential techniques used in malware detection. However, these techniques have become increasingly ineffective as malware becomes more complex. Researchers have therefore turned to deep learning to construct better performing models. In this project, we create four different long-short term memory (LSTM) models and train each model to classify malware by family type. Our data consists of opcodes extracted from malware executables. We employ techniques used in natural language processing (NLP) such as word embedding and bidirection LSTMs (biLSTM). We also use convolutional neural networks (CNN). We found that our model consisting of word embedding, biLSTMs and CNN layers performed the...
Current malware detection software often relies on machine learning, which is seen as an improvement...
In recent years, cyber threats and malicious software attacks have been escalated on various platfor...
Malware detection is a problem that has become particularly challenging over the last decade. A comm...
Signature and anomaly based detection have long been quintessential techniques used in malware detec...
Signature and anomaly based techniques are the quintessential approaches to malware detection. Howev...
Cyber-attacks on the numerous parts of today’s fast developing IoT are only going to increase in fre...
Research in the field of malware classification often relies on machine learning models that are tra...
In the past few years, malware classification techniques have shifted from shallow traditional machi...
Cavazos, JohnBad actors have embraced automation and current malware analysis systems cannot keep up...
The traditional malware detection approaches rely heavily on feature extraction procedure, in this p...
It is often claimed that the primary advantage of deep learning is that such models can continue to ...
Malware attack is one of the most critical issues that electronic device users are facing in recent ...
Malware is one of the most significant threats in today’s computing world since the number of websit...
Automatically classifying similar malware families is a challenging problem. In this research, we at...
Malware detection and classification are attracting more research nowadays due to the increasing num...
Current malware detection software often relies on machine learning, which is seen as an improvement...
In recent years, cyber threats and malicious software attacks have been escalated on various platfor...
Malware detection is a problem that has become particularly challenging over the last decade. A comm...
Signature and anomaly based detection have long been quintessential techniques used in malware detec...
Signature and anomaly based techniques are the quintessential approaches to malware detection. Howev...
Cyber-attacks on the numerous parts of today’s fast developing IoT are only going to increase in fre...
Research in the field of malware classification often relies on machine learning models that are tra...
In the past few years, malware classification techniques have shifted from shallow traditional machi...
Cavazos, JohnBad actors have embraced automation and current malware analysis systems cannot keep up...
The traditional malware detection approaches rely heavily on feature extraction procedure, in this p...
It is often claimed that the primary advantage of deep learning is that such models can continue to ...
Malware attack is one of the most critical issues that electronic device users are facing in recent ...
Malware is one of the most significant threats in today’s computing world since the number of websit...
Automatically classifying similar malware families is a challenging problem. In this research, we at...
Malware detection and classification are attracting more research nowadays due to the increasing num...
Current malware detection software often relies on machine learning, which is seen as an improvement...
In recent years, cyber threats and malicious software attacks have been escalated on various platfor...
Malware detection is a problem that has become particularly challenging over the last decade. A comm...
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