activity
20092020
most citedDeep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications

518 citations · 1.1k across the 15 of their papers we have counts for

collaborators
Showing cs.CRShow all

8 papers · 1 filter

cs.CR2018★ 6 cited

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…

cs.CR2018★ 74 cited

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…

cs.CR2018★ 4 cited

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…

cs.CR2018★ 7 cited

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…

cs.CR2017★ 8 cited

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

Liang Xiao, Guoan Han, Donghua Jiang +3

By using smart radio devices, a jammer can dynamically change its jamming policy based on opposing security mechanisms; it can even induce the mobile device to enter a specific com…

cs.CR2009★ 387 cited

Using the Physical Layer for Wireless Authentication in Time-Variant Channels

Liang Xiao, Larry Greenstein, Narayan Mandayam +1

The wireless medium contains domain-specific information that can be used to complement and enhance traditional security mechanisms. In this paper we propose ways to exploit the sp…