A new class of malware that uses AI to commit ad fraud has been discovered, and it can take over your screens without your ...
The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.
AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
A newly discovered strain of Android malware is using artificial intelligence to commit ad fraud and potentially give hackers ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
A new, sophisticated Android malware uses machine learning to automatically detect and click on ads, making detection more challenging.
The exponential growth of Android devices has placed a premium on robust security measures, particularly in the detection and classification of malware. Contemporary methods increasingly incorporate ...
In this special guest feature, Karthik Krishnan, Vice President of Product Management at Niara, discusses how machine learning is an option that’s gaining popularity to detect cyber attacks given its ...
Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...
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