518 citations · 1.1k across the 15 of their papers we have counts for
6 papers · 1 filter
UAV-Aided Cellular Communications with Deep Reinforcement Learning Against Jamming
Xiaozhen Lu, Liang Xiao, Canhuang Dai +1
Cellular systems are vulnerable to jamming attacks, especially smart jammers that choose their jamming policies such as the jamming channel frequencies and power based on the ongoi…
Secure Mobile Crowdsensing with Deep Learning
Liang Xiao, Donghua Jiang, Dongjin Xu +1
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…
Reinforcement Learning-based Energy Trading for Microgrids
Liang Xiao, Xingyu Xiao, Canhuang Dai +3
With the time-varying renewable energy generation and power demand, microgrids (MGs) exchange energy in smart grids to reduce their dependence on power plants. In this paper, we fo…
IoT Security Techniques Based on Machine Learning
Liang Xiao, Xiaoyue Wan, Xiaozhen Lu +2
Internet of things (IoT) that integrate a variety of devices into networks to provide advanced and intelligent services have to protect user privacy and address attacks such as spo…
Defense Against Advanced Persistent Threats in Dynamic Cloud Storage: A Colonel Blotto Game Approach
Minghui Min, Liang Xiao, Caixia Xie +2
Advanced Persistent Threat (APT) attackers apply multiple sophisticated methods to continuously and stealthily steal information from the targeted cloud storage systems and can eve…
Security in Mobile Edge Caching with Reinforcement Learning
Liang Xiao, Xiaoyue Wan, Canhuang Dai +3
Mobile edge computing usually uses cache to support multimedia contents in 5G mobile Internet to reduce the computing overhead and latency. Mobile edge caching (MEC) systems are vu…