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As the same attackers orchestrate these accounts there is something collective about these accounts; the key is finding which dimensions are correlated.They all applied for the same type of product, each email address is created from the same combination of first name, last initial and birthday, all the IP addresses come from data centers and used similar, older iPhone devices with the same operating system, all using the same brfully free vpn for androidowsers.However, if you look at these applications through the lens of Unsupervised Machine Learning, and consider other information, such as the digital footprint, the email address used to create the account, the IP address as well as the browser and device that was used, patterns begin to emerge....
That is the essence of the Unsupervised Machine Learning; not relying on historical experience or past label data, but instead leveraging AI machine learning as well as big data analysis techniques to discover these new patterns automatically from these accounts and their attributes.For example, here is a case of a fraud ring using personal information acquired through a data breach to apply for new credit cards in those names.When we look at only one dimension, it is a lot easier to be fooled....
They are going to exploit large, and for that, they need many accounts.With device flashing, there is a physical device present and the traffic is from the device, but attackers flash it, so the device shows up as an entirely new device every time it is used to set up a fraudulent account.And based on this we take an approach what we called the Unsupervised Machine Learning which looks at accounts and their activity, Thfully free vpn for androidis detection is not done by looking at just one account in isolation to determine if it is a dangerous account or not, but rather to scrutinize multiple accounts for similarities and activity patterns....
In this way, we cast a very wide net to discover those patterns automatically.For example, device fingerprinting is one dimension, the age of the account and level of activity are other dimensions.That is the essence of the Unsupervised Machine Learning; not relying on historical experience or past label data, but instead leveraging AI machine learning as well as big data analysis techniques to discover these new patterns automatically from these accounts and their attributes....
So, we don’t make any assumptions, and let the algorithms analyze the many attributes of these accounts by looking at them all tfully free vpn for androidogether to detect those hidden associations.They all applied for the same type of product, each email address is created from the same combination of first name, last initial and birthday, all the IP addresses come from data centers and used similar, older iPhone devices with the same operating system, all using the same brfully free vpn for androidowsers.For example, a social media service could completely block accounts identified as high confidence ones right away....
