activity
20142023
most citedDeep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

254 citations · 917 across the 42 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2020

Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning

Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda +4

In advanced metering infrastructure (AMI), smart meters (SMs), which are installed at the consumer side, send fine-grained power consumption readings periodically to the electricit…

cs.CR2020

Private, Fair, and Verifiable Aggregate Statistics for Mobile Crowdsensing in Blockchain Era

Miao He, Jianbing Ni, Dongxiao Liu +3

In this paper, we propose FairCrowd, a private, fair, and verifiable framework for aggregate statistics in mobile crowdsensing based on the public blockchain. In specific, mobile u…

cs.CR2019★ 1 cited

Towards Edge-assisted Internet of Things: From Security and Efficiency Perspectives

Jianbing Ni, Xiaodong Lin, Xuemin +1

As we are moving towards the Internet of Things (IoT) era, the number of connected physical devices is increasing at a rapid pace. Mobile edge computing is emerging to handle the s…

cs.CR2018★ 10 cited

Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing

Jianbing Ni, Kuan Zhang, Qi Xia +2

Mobile crowdsensing engages a crowd of individuals to use their mobile devices to cooperatively collect data about social events and phenomena for special interest customers. It ca…

cs.CR2017★ 2 cited

Multi-message Authentication over Noisy Channel with Secure Channel Codes

Dajiang Chen, Ning Zhang, Nan Cheng +4

In this paper, we investigate multi-message authentication to combat adversaries with infinite computational capacity. An authentication framework over a wiretap channel $(W_1,W_2)…