Chrome uses machine learning to detect phishing attacks
June 10, 2022
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Google integrates a machine learning model into the Chrome browser to detect potential phishing attacks. With upcoming on-device machine learning developments #Chromiumblock unwanted notifications, translate more sites into
Google integrates a machine learning model into the Chrome browser to detect potential phishing attacks.
With upcoming on-device machine learning developments #Chromiumblock unwanted notifications, translate more sites into your preferred language, and more.
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According to the developers, the algorithm detects 2.5 times more potentially malicious sites and phishing attacks than the previous model. This provides safer and more secure web surfing, according to the company.
Google also announced the integration of an AI model that disables site requests from sending notifications. According to the company, the algorithm analyzes the user’s previous actions and predicts the likelihood of such permissions being granted.
A phishing attack alert (left) and a spam notification request from a site that is likely to be rejected by the user (right). Data: Google.
Another model is for optimizing the toolbar in Chrome. Based on the user’s actions, the browser will highlight the interface elements that are most likely to be useful at the moment.
Changing the interface elements of the toolbar based on user actions. Data: Google.
What’s new will appear in the next update of Chrome. The company emphasized that machine learning models will process requests directly on the user’s device.
Recall that in April, Google Lens text recognition was added to Chrome.
In February, browser developers fixed 27 vulnerabilities, including eight high-risk ones.
I’m Sandra Torres, a passionate journalist and content creator. My specialty lies in covering the latest gadgets, trends and tech news for Div Bracket. With over 5 years of experience as a professional writer, I have built up an impressive portfolio of published works that showcase my expertise in this field.