… Wireless Security and Machine Learning (WiseML 2019) that was held in conjunction with the
12th ACM Conference on Security and Privacy in Wireless … , privacy, security, and wireless …

… reference for wireless sensor network infrastructure and the security challenges it faces. It …
benefiting from machine learning algorithms by reducing the security costs of wireless sensor …

… , we focus on machine learning solutions3 due to their inherent … In particular, machine
learning techniques allow UAVs to … for the use of UAVs for wireless communication applications; …

… First, we categorize and explain distinct aspects of AI that can address wireless network
security threats. Although wireless network security threats are well investigated in different …

… as machine-learning-based air interface in future networks. Use case examples for the
application of AI to the wireless … layer, mobility management, wireless security, and localization. …

… machine learning techniques namely: Neural Network (NN) and Support Vector Machine (…
DoS attacks launched by adversaries, thereby enhancing the security of WSNs. NN and SVM, …

… on the use of wireless sensor networks in different fields. Furthermore, this study also focuses
on different Machine learning algorithms that are used to secure wireless sensor networks. …

… 3) Conforming to our earlier work on on-hub analytics where we proposed a method of staged
inference using conditional deep learning [12], a light-weight machine learning framework …

… of wireless multimedia data and how to reliably solve multiparty computing by outsourcing …
address the wireless multimedia data security problems by using machine learning methods. …

… approaches based on machine learning techniques by opportunistically … to authentication
for more efficient security provisioning. … ideas on machine learning for intelligent security and …