I love scammers… I never posted and email trolling before. Hope ya’ll enjoy. Short and sweet. #trolling #scammers #emailscammers #getum https://www.instagram.com/p/CmKox5AJt_4/?igshid=NGJjMDIxMWI=

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I love scammers… I never posted and email trolling before. Hope ya’ll enjoy. Short and sweet. #trolling #scammers #emailscammers #getum https://www.instagram.com/p/CmKox5AJt_4/?igshid=NGJjMDIxMWI=
Researchers On A Mission To Stop Email Scammers
A team of researchers is reportedly helping law enforcement to crack down on email scammers. They do that thanks to a new visual analytics tool that can speed up forensic email investigations and highlight critical links within email data.
Email Scams: Common Cybercrimes
Emails scams are widespread and getting smarter. Thus, they can trick even the savviest computer users. At the same time, law enforcement has long struggled to prosecute these crimes due to the difficulty of identifying cybercriminals.
Is there a solution?
The new software could potentially make it easier to trace the trail of email scammers and some agencies have already deployed the service. You might be asking who created the new tool? It is the result of the work of a research team at the New York University Tandon School of Engineering, which is led by Assistant Professor of Computer Science and Engineering Enrico Bertini in collaboration with Silicon Valley-based data security company Agari that specializes in developing email security products for corporations. Bertini gave an interesting name to the tool: Beagle. It refers to the sharp search skills of canines used to sniff out evidence in criminal investigations, as Science Daily, an online science media, wrote in their article on the subject. Beagle was created in a two-year iterative process that uses a database of more than 100,000 emails intercepted from real-life scammers by Agari. A case study of its development is published in the journal IEEE Transactions on Visualization and Computer Graphics. Some of the co-authors of the study are NYU Tandon doctoral students Jay Kovem, Christian Felix, and Hossein Siadati, as well as contributors from Agari. According to the media, the research team has already started sharing the tool with law enforcement agencies at no cost to assist in their investigations. The goal is to refine its capabilities using real-world feedback. More information about the research, you can learn here. Read the full article