Secure Mobile Crowdsensing with Deep Learning

no code implementations • 23 Jan 2018 • Liang Xiao, Donghua Jiang, Dongjin Xu, Ning An

In order to stimulate secure sensing for Internet of Things (IoT) applications such as healthcare and traffic monitoring, mobile crowdsensing (MCS) systems have to address security threats, such as jamming, spoofing and faked sensing attacks, during both the sensing and the information exchange processes in large-scale dynamic and heterogenous networks.

Intrusion Detection

Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning

no code implementations • 19 Dec 2017 • Liang Xiao, Guoan Han, Donghua Jiang, Hongzi Zhu, Yanyong Zhang, H. Vincent Poor

It is shown that, by applying reinforcement learning techniques, a mobile device can achieve an optimal communication policy without the need to know the jamming and interference model and the radio channel model in a dynamic game framework.

reinforcement-learning Reinforcement Learning (RL) +1