Google added some new ones functions ασφάλειας στο Gmail, και μια από αυτές φέρεται να βελτιώνει την ανίχνευση ηλεκτρονικού “ψαρέματος” ή Phishing using in a specialized model engineeringof learning.
According to the company 50 up to 70 percent of incoming messages in gmail is spam, but machine learning techniques help Google beat spam and phishing messages with 99,9% accuracy.
The latest engineering learning model improves the process by delaying selected messages (less than the average of 0,05% of messages) for further fishing analysis.
Google reports that new crawling patterns will also help create new proalerts delaying time accesss in the URL, showing users a warning question when they have click on a suspicious link. As new standards are identified, new models protectionThey will adapt and improve over time.
In addition, Google added external company alert warnings to prevent users from sending accidentally protected data to someone outside of their company.
Gmail will not stop sending but with warnings will try to delay it a bit, according to Google, as the engineering intelligence will notify Gmail if the recipient is an existing contact or someone with whom the sender interacts regularly.
Google also added new built-in defenses against ransomware and polymorphism maliciousy software, blocking millions of add-ons that are distributed as email attachments.
Threats are identified by combining flags from spam, malicious preletterand ransomware with attachment heuristics (emails which may be threats based on flags) and the digital signatures of the senders (which are already marked as malicious programs).
