Towards Resilient Machine Learning Models: Addressing Adversarial Attacks in Wireless Sensor Network
Adversarial attacks represent a substantial threat to the security and reliability of machine
learning models employed in wireless sensor networks (WSNs). This study tries to solve this …
learning models employed in wireless sensor networks (WSNs). This study tries to solve this …
Large Language Models in Cybersecurity: Digital Defense and Ethical Challenge
G Cimmino - Authorea Preprints, 2024 - techrxiv.org
In the contemporary realm of cybersecurity, the dynamic and rapidly evolving nature of cyber
threats necessitates advanced protective measures. Large Language Models (LLMs), with …
threats necessitates advanced protective measures. Large Language Models (LLMs), with …
[PDF][PDF] ANOMALY DETECTION IN A WIRELESS NETWORK USING MACHINE LEARNING ALGORITHMS
SA Salawudeen, HB Yusuff - researchgate.net
In wireless networks, detecting anomalies is critical to maintaining system integrity and
ensuring operational efficiency. Traditional anomaly detection models, which rely on …
ensuring operational efficiency. Traditional anomaly detection models, which rely on …
Detecting and Analyzing Network Attacks: A Time-Series Analysis Using the Kitsune Dataset
DA Khalil, Y Abuzir - Journal of Emerging Computer Technologies - dergipark.org.tr
Network security is a critical concern in today's digital world, requiring efficient methods for
the automatic detection and analysis of cyber attacks. This study uses the Kitsune Network …
the automatic detection and analysis of cyber attacks. This study uses the Kitsune Network …