Tech

AI developed that destroys cyberattacks in 0.3 seconds

A new method that uses AI to detect and block cyber attacks in less than a second was invented by researchers at Cardiff University.

The method has been shown to successfully prevent up to 92% of files on a computer from being damaged, taking an average of 0.3 seconds to destroy the malware.

By publishing their findings in the journal Security and communication networksthe Cardiff University team says this is the first demonstration of a method capable of detecting and killing malicious software in real time.

It is hoped that the new method will transform approaches to modern cybersecurity, particularly for perceived high-risk schools and universities.

Using advances in artificial intelligence and machine learning, the new approach, developed in collaboration with Airbus, relies on monitoring and predicting malware behavior. This is opposed to more traditional antivirus approaches that analyze the appearance of a malware.

Professor Pete Burnap, co-author of the study, explains: “Traditional antivirus software will look at the code structure of a malware and say ‘yes, it looks familiar.’ But the problem is that the malware writers will cut and modify the code, so the next day the code looks different and is not detected by the antivirus software.

“We want to know how malware behaves, so once it starts attacking a system, like opening a door, creating a process, or downloading some data in a particular order, it will leave a fingerprint behind it. which we can then use to create a behavioral profile “.

By training computers to run simulations on specific pieces of malware, it is possible to make a very quick prediction in less than a second of how the malware will behave later on.

Once a piece of software is flagged as malicious, the next step is to delete it, and this is where the new research comes in.

To test the new detection method, the team created a virtual computing environment to represent a group of commonly used laptops, each running up to 35 applications simultaneously to simulate normal behavior, and added thousands of malware samples.

The study’s lead author, Matilda Rhode, now Airbus’ head of innovation and scouting, said, “While we still have a long way to go in terms of improving the accuracy of this system before it can be implemented, this it is an important step towards a real-time detection system ”.

“This system would not only benefit our laptops and computers, but also our smart speakers, thermostats, cars and refrigerators as the ‘Internet of Things’ becomes more widespread.”


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AI developed that destroys cyberattacks in 0.3 seconds

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