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EARLYCROW: Detecting APT Malware Command and Control Activities Over HTTPS

Imperial College London researchers unveiled EARLYCROW, a new method of detecting advanced persistent threats (APTs), a sophisticated kind of cyberattack, by identifying malicious network traffic. It uses a new format called PAIRFLOW which captures extensive connection-level data. EARLYCROW, when tested with real-world datasets, registered a macro-average F1-score of 93.02% on unseen APT samples, with a false positive rate of 0.74%.

Source: gbhackers.com –

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