Windows 10: bank account (UK) was hacked five days ago. I was a victim of this (UK) TV Licence fraud email.

Taffy087 · May 17, 2019

Split from this thread.

Hope you don't mind me going off at a tangent but my bank account (UK) was hacked five days ago. I was a victim of this (UK) TV Licence fraud email:

More than 5000 UK TV Licence holders have been hit to date and the number is said to be growing.

My bank say it wasn't my fault - the hackers used teamviewer to bypass the bank's security, but when I Bing'd, I found that teamviewer is a legit App

This thread and another similar one makes me wonder if the teamviewer scam is part of my bank's problem - any thoughts please?

Not sure if this will reach you as the thread has been marked as answered so I might have to create a new thread.

:)

Suzy Mac · May 17, 2019

UK calendar dates

I want bank holidays and other UK dates like mothers day on my calendar. How can I get this?

sirearl · May 17, 2019

uk yahoo mail

what error are you getting?

Have you tried the following:

use the email shortcut on your desktop or in the main menu

tap email at the top of the page and select new account

enter the email wizard

region should be set to uk

tap service provider and select uk yahoo from the list (should be last on the list)

enter the details as instructed

note: these are instructions for uk yahoo accounts (i.e. .co.uk, not .com)

Brink · May 17, 2019

Microsoft AI solution to detect mobile bank fraud in less than 2 secs

The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities. As mobile banking grows, so does the one aspect about it that can be wrenching for customers and banks, mobile device fraud.

Problem: To implement near real-time fraud detection

Most mobile fraud occurs through a compromise called a SIM swap attack in which a mobile number is hacked. The phone number is cloned and the criminal receives all the text messages and calls sent to the victim’s mobile device. Then login credentials are obtained through social engineering, phishing, vishing, or an infected downloaded app. With this information, the criminal can impersonate a bank customer, register for mobile access, and immediately start to request fund transfers and withdrawals.

Artificial Intelligence (AI) models have the potential to dramatically improve fraud detection rates and detection times. One approach is described in the Mobile bank fraud solution guide. It’s a behavioral-based AI approach and can be much more responsive to changing fraud patterns than rules-based or other approaches.

The solution: A pipeline that detects fraud in less than two seconds

Latency and response times are critical in a fraud detection solution. The time it takes a bank to react to a fraudulent transaction translates directly to how much financial loss can be prevented. The sooner the detection takes place, the less the financial loss.

To be effective, detection needs to occur in less than two seconds. This means less than two seconds to process an incoming mobile activity, build a behavioral profile, evaluate the transaction for fraud, and determine if an action needs to be taken. The approach described in this solution is based on:

Feature engineering to create customer and account profiles.

Azure Machine Learning to create a fraud classification model.

Azure PaaS services for real-time event processing and end-to-end workflow.

The architecture: Azure Functions, Azure SQL, and Azure Machine Learning

Most steps in the event processing pipeline start with a call to Azure Functions because functions are serverless, easily scaled out, and can be scheduled.

The power of data in this solution comes from mobile messages that are standardized, joined, and aggregated with historical data to create behavior profiles. This is done using the in-memory technologies in Azure SQL.

Training of a fraud classifier is done with Azure Machine Learning Studio (AML Studio) and custom R code to create account level metrics.

Recommended next steps

Read the Mobile bank fraud solution guide to learn details on the architecture of the solution. The guide explains the logic and concepts and gets you to the next stage in implementing a mobile bank fraud detection solution. We hope you find this helpful and we welcome your feedback.
Click to expand...

Source: Two seconds to take a bite out of mobile bank fraud with Artificial Intelligence | Blog | Microsoft Azure

Windows 10: bank account (UK) was hacked five days ago. I was a victim of this (UK) TV Licence fraud email.

bank account (UK) was hacked five days ago. I was a victim of this (UK) TV Licence fraud email.

bank account (UK) was hacked five days ago. I was a victim of this (UK) TV Licence fraud email.

bank account (UK) was hacked five days ago. I was a victim of this (UK) TV Licence fraud email.

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