Add to ORKGMalware programs, such as viruses, worms, Trojans, etc., are a worldwide epidemic in the digital world. Studies and statistics show that malware volume has increased tremendously year after year in the past decade. Due to the rapid malware growth in recent years, the malware detection approaches have been experiencing a paradigm shift from the laborious manual analysis, signature-based approach to a data-driven, machine learning-based approach. This thesis presents a semi-automated malware detection solution using machine learning. It notifies the user if the application she downloaded behaves differently than what she expected at download time. The hypothesis is that in spite of millions of currently downloadable executables on the Intern...
Malware attack is a never-ending cyber security issue. Since traditional approaches are less efficie...
Cloud Computing platform is the practices of remote manage network resources such as storage, applic...
Malware are become increasingly aware of their execution environment. In order to avoid detection by...
Cavazos, JohnThe malware threat landscape is constantly evolving, with upwards of one million new va...
Malware has been one of the key concerns for Information Technology security researchers for decades...
The occurrence of previously unseen malicious code or malware is an implicit and ongoing issue for a...
This project aims to present the functionality and accuracy of five different machine learning algor...
New types of malware with unique characteristics are being created daily in legion. This exponential...
Malicious software (ransom ware) cyber attacks in frequency and severity, posing an increasingly ser...
The number of new malwares created every day is at an all-time high, one of the main reasons is that...
This research study mainly focused on the dynamic malware detection. Malware progressively changes, ...
Malware is becoming a major cybersecurity threat with increasing frequency every day. There are seve...
Ransomware is malware that hijacks a victim's data using encryption and demands a ransom in exchange...
Malicious software (malware) causes increasingly devastating social and financial losses each year. ...
With the rise of the popularity of machine learning (ML), it has been shown that ML-based classifier...
Malware attack is a never-ending cyber security issue. Since traditional approaches are less efficie...
Cloud Computing platform is the practices of remote manage network resources such as storage, applic...
Malware are become increasingly aware of their execution environment. In order to avoid detection by...
Cavazos, JohnThe malware threat landscape is constantly evolving, with upwards of one million new va...
Malware has been one of the key concerns for Information Technology security researchers for decades...
The occurrence of previously unseen malicious code or malware is an implicit and ongoing issue for a...
This project aims to present the functionality and accuracy of five different machine learning algor...
New types of malware with unique characteristics are being created daily in legion. This exponential...
Malicious software (ransom ware) cyber attacks in frequency and severity, posing an increasingly ser...
The number of new malwares created every day is at an all-time high, one of the main reasons is that...
This research study mainly focused on the dynamic malware detection. Malware progressively changes, ...
Malware is becoming a major cybersecurity threat with increasing frequency every day. There are seve...
Ransomware is malware that hijacks a victim's data using encryption and demands a ransom in exchange...
Malicious software (malware) causes increasingly devastating social and financial losses each year. ...
With the rise of the popularity of machine learning (ML), it has been shown that ML-based classifier...
Malware attack is a never-ending cyber security issue. Since traditional approaches are less efficie...
Cloud Computing platform is the practices of remote manage network resources such as storage, applic...
Malware are become increasingly aware of their execution environment. In order to avoid detection by...