Abstract: Malware continues to pose a serious threat to cybersecurity, especially with the rise of unknown or zero day attacks that bypass the traditional antivirus tools. This study proposes a hybrid ...
Abstract: The exponential growth of encrypted network traffic in IoT ecosystems has created a critical challenge: maintaining privacy while enabling effective malware detection. This paper presents a ...
Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.
Spread the love“`html The realm of cybersecurity has always been a battleground, with hackers and defenders locked in a constant struggle for supremacy. However, a recent announcement from the ...
Spread the love“`html The digital landscape is evolving, and with it, the threats that come with advanced technologies such as artificial intelligence (AI). Recently, members of the Five Eyes ...
Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...
Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.
A new Android banking trojan named Rokarolla is targeting 217 banking and cryptocurrency applications using an extensive set of 137 commands. The malware is distributed via malicious websites ...
Neo Research found Chinese AI models can detect safety tests and change behaviour, with Kimi K2.6 scoring 60 per cent on evaluation awareness. Several Chinese frontier AI models can detect when they ...
Attackers no longer need to ship malicious code to compromise a target - they can build it on the fly using artificial intelligence. Defenders must now inspect AI conversations and agent traffic, not ...
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