Technology for detecting DDoS attacks is appropriate for this system ... security event detection. To achieve the goal of detection of DDoS attack and mitigation model for SDN networks, a model is ...

Discovered by Sysdig’s Threat Research Team, the malware campaign involved exploiting misconfigured instances of Open WebUI, ...

Learn how to design resilient event-driven systems that scale. Explore key patterns like shuffle sharding and decoupling ...

From infostealers commoditizing initial access to a more targeted approach to ransomware attacks, cybercriminals’ malware ...

Traditional IoT security measures struggle with five persistent problems: lack of integrated security orchestration, resource ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years ...

If you choose not to use antivirus, your device will be vulnerable to all sorts of malware. A hacker could send an email with a malicious file attached and infect your device in seconds ...

In this paper, we introduce BiBE, a malware detection architecture based on self-supervised learning framework. We first preprocess the samples with normalization, complete the missing information of ...

In the case of IoT malware detection, many parameters are chosen through experimentation ... this one parameter can be to an effective ML model using kernel level system call data, which comprises a ...

Dutch and US investigators say AvCheck.net 'was one of the largest Counter Antivirus' services used globally by ...