This technique uses deep learning to extract IP packet attributes, builds an LSTM traffic prediction model, and then recognises DDoS attacks using the built-in LSTM model. Technology for detecting ...

A new AI system that can automatically identify contaminated construction and demolition wood waste has been developed by ...

Threat actors linked to lesser-known ransomware and malware projects now use AI tools as lures to infect unsuspecting victims ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Agentic AI can enable us to move beyond static controls and embrace a responsive, risk-aware model of identity governance.

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting ...

Agentic AI played a decisive role in dismantling DanaBot, a Russian malware platform responsible for more than 50 million dollars in damages.

Abstract: Malware detection has become significantly more difficult due to the constant evolution of malware and the emergence of various variants. While machine ... data for learning. In this paper, ...

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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 ...

Traditional methods are not capable of finding the malware accurately so this research focuses on building an effective solution using Machine Learning to detect malicious software and interpret the ...