首页|New Machine Learning Study Findings Recently Were Published by a Researcher at K ansas State University (Analysis and Prevention of AI-Based Phishing Email Attac ks)
New Machine Learning Study Findings Recently Were Published by a Researcher at K ansas State University (Analysis and Prevention of AI-Based Phishing Email Attac ks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting originating from Manhattan, Kansas , by NewsRx correspondents, research stated, "Phishing email attacks are among t he most common and most harmful cybersecurity attacks." Funders for this research include Nsf. The news correspondents obtained a quote from the research from Kansas State Uni versity: "With the emergence of generative AI, phishing attacks can be based on emails generated automatically, making it more difficult to detect them. That is , instead of a single email format sent to a large number of recipients, generat ive AI can be used to send each potential victim a different email, making it mo re difficult for cybersecurity systems to identify the scam email before it reac hes the recipient. Here, we describe a corpus of AI-generated phishing emails. W e also use different machine learning tools to test the ability of automatic tex t analysis to identify AI-generated phishing emails. The results are encouraging , and show that machine learning tools can identify an AI-generated phishing ema il with high accuracy compared to regular emails or human-generated scam emails. By applying descriptive analytics, the specific differences between AI-generate d emails and manually crafted scam emails are profiled and show that AI-generate d emails are different in their style from human-generated phishing email scams. "
Kansas State UniversityManhattanKans asUnited StatesNorth and Central AmericaCybersecurityCyborgsEmerging T echnologiesMachine Learning
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