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Machine learning in cybersecurity: a comprehensive survey
Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …
Malware detection and prevention using artificial intelligence techniques
With the rapid technological advancement, security has become a major issue due to the
increase in malware activity that poses a serious threat to the security and safety of both …
increase in malware activity that poses a serious threat to the security and safety of both …
Examining the performance of various pretrained convolutional neural network models in malware detection
A significant quantity of malware is created on purpose every day. Users of smartphones
and computer networks now mostly worry about malware. These days, malware detection is …
and computer networks now mostly worry about malware. These days, malware detection is …
[HTML][HTML] Robust malware family classification using effective features and classifiers
Malware development has significantly increased recently, posing a serious security risk to
both consumers and businesses. Malware developers continually find new ways to …
both consumers and businesses. Malware developers continually find new ways to …
Binary and multi-class malware threads classification
The security of a computer system can be harmed by specific applications, such as malware.
Malware comprises unwanted, dangerous enemies that aim to compromise the security and …
Malware comprises unwanted, dangerous enemies that aim to compromise the security and …
Scalable malware detection system using big data and distributed machine learning approach
Abstract Computer, Internet, and Smartphone have changed our life as never before. Today,
we cannot even imagine our life without these technologies. If we look around, we find …
we cannot even imagine our life without these technologies. If we look around, we find …
Scalable malware detection system using distributed deep learning
The number of complex and novel malware attacks is increasing exponentially in the
cyberworld. Malware detection systems are facing new challenges due to the volume …
cyberworld. Malware detection systems are facing new challenges due to the volume …
Machine learning techniques for malware detection with challenges and future directions
MA Alqahtani - International Journal of Communication …, 2021 - search.proquest.com
In the recent times Cybersecurity is the hot research topic because of its sensitivity.
Especially at the times of digital world where everything is now transformed into digital …
Especially at the times of digital world where everything is now transformed into digital …
Stylometry as a reliable method for fallback authentication
Over the decades with advancement in artificial intelligent systems, stylometry has proven to
be crucial in authorship attribution. It is an evident that by natural development, writing styles …
be crucial in authorship attribution. It is an evident that by natural development, writing styles …
An investigation of quantum and parallel computing effects on malware families classification
BN Taha - Journal of Applied Science and Technology Trends, 2023 - jastt.org
The proliferation of malicious software is a major concern for organizations and consumers
alike. Malware is used to compromise computer systems and networks for malevolent …
alike. Malware is used to compromise computer systems and networks for malevolent …