We are applying machine learning and crowdsourcing to cybersecurity, with the purpose to develop a toolkit for detection of complex cyber threats, which are often undetectable by traditional tools. It will serve as an “extra layer of armor ” that supplements the standard defenses. The initial results include (1) an architecture for sharing security warnings among users and (2) machine learning techniques for identifying malicious websites. The public release of th
SHIELD is a distributed cyber-security system that leverages Network Function Virtualisation for dyn...
The extensive sharing of personal information over networks has given rise to an emerging malware in...
The use of more sophisticated tools and methods from cyber criminals has urged the cyber security co...
We are applying machine learning and crowdsourcing to cybersecurity, with the purpose to develop a t...
Networks have an increasing influence on our modern life, making Cybersecurity an important field of...
Organizations struggle to recognise and respond to cyber attacks effectively because of their sophis...
Artificial intelligence (AI) and machine learning (ML) are transforming the field of cybersecurity b...
Today’s defensive cyber sensors are dominated by signature-based analytical methods that require con...
This paper presents an in-depth exploration of the application of Artificial Intelligence (AI), spec...
Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyb...
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices ...
International audienceAs technology develops and pervades our world, IT threats are becoming more an...
The techniques of machine learning are applied in various areas of science with their unique propert...
The techniques of machine learning are applied in various areas of science with their unique propert...
In the age of digital transformation with adoption of Cloud and mobile computing and ever-increasing...
SHIELD is a distributed cyber-security system that leverages Network Function Virtualisation for dyn...
The extensive sharing of personal information over networks has given rise to an emerging malware in...
The use of more sophisticated tools and methods from cyber criminals has urged the cyber security co...
We are applying machine learning and crowdsourcing to cybersecurity, with the purpose to develop a t...
Networks have an increasing influence on our modern life, making Cybersecurity an important field of...
Organizations struggle to recognise and respond to cyber attacks effectively because of their sophis...
Artificial intelligence (AI) and machine learning (ML) are transforming the field of cybersecurity b...
Today’s defensive cyber sensors are dominated by signature-based analytical methods that require con...
This paper presents an in-depth exploration of the application of Artificial Intelligence (AI), spec...
Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyb...
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices ...
International audienceAs technology develops and pervades our world, IT threats are becoming more an...
The techniques of machine learning are applied in various areas of science with their unique propert...
The techniques of machine learning are applied in various areas of science with their unique propert...
In the age of digital transformation with adoption of Cloud and mobile computing and ever-increasing...
SHIELD is a distributed cyber-security system that leverages Network Function Virtualisation for dyn...
The extensive sharing of personal information over networks has given rise to an emerging malware in...
The use of more sophisticated tools and methods from cyber criminals has urged the cyber security co...