Chatbots now place orders, code assistants push updates, and autonomous agents comb production databases while you sleep.

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A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified targeting Windows systems. According to research from Securonix, the malware, ...

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Security Operation Centers (SOC) continuously monitor system logs to detect suspicious activities such as brute-force attacks, unauthorized access, or privilege abuse. However, the large volume and ...

Abstract: Anomaly detection systems are increasingly vulnerable to adversarial attacks, particularly data poisoning attacks that compromise training datasets by injecting malicious samples designed to ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?