Dark Reading

How Malware Authors Are Incorporating LLMs to Evade Detection

Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.
IEEE

Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets

Abstract: The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems ...
IEEE

Decision-Aid Framework for Face Authentication Detection Using ResNext50 and BiLSTM to Enhance Media Integrity

Abstract: This paper presents a decision-aid framework for face authentication detection that integrates ResNext50 with Bidirectional Long Short-Term Memory (BiLSTM) networks to enhance media ...
GitHub

Real-Time Face Mask Detection using CNN & MobileNetV2

The Real-Time Face Mask Detection System is a deep learning–based application designed to identify whether a person is wearing a mask correctly, wearing it improperly, or not wearing one at all. This ...