When machine learning meets privacy: A survey and outlook
The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …
Synergy of big data and 5G wireless networks: opportunities, approaches, and challenges
This article presents the synergistic and complementary features of big data and 5G wireless
networks. An overview of their interplay is provided first, including big-data-driven …
networks. An overview of their interplay is provided first, including big-data-driven …
Delay-minimization routing for heterogeneous VANETs with machine learning based mobility prediction
Establishing and maintaining end-to-end connections in a vehicular ad hoc network
(VANET) is challenging due to the high vehicle mobility, dynamic inter-vehicle spacing, and …
(VANET) is challenging due to the high vehicle mobility, dynamic inter-vehicle spacing, and …
Privacy enhancing technologies for solving the privacy-personalization paradox: Taxonomy and survey
Personal data are often collected and processed in a decentralized fashion, within different
contexts. For instance, with the emergence of distributed applications, several providers are …
contexts. For instance, with the emergence of distributed applications, several providers are …
Joint task assignment, transmission, and computing resource allocation in multilayer mobile edge computing systems
In this paper, we propose a multilayer data flow processing system, ie, EdgeFlow, to
integrally utilize the computing capacity throughout the whole network, ie, the cloud center …
integrally utilize the computing capacity throughout the whole network, ie, the cloud center …
Enabling AI in future wireless networks: A data life cycle perspective
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …
networks, which can be mostly attributed to the increasing communication and sensing …
Efficient identity-based provable multi-copy data possession in multi-cloud storage
J Li, H Yan, Y Zhang - IEEE Transactions on Cloud Computing, 2019 - ieeexplore.ieee.org
To increase the availability and durability of the outsourced data, many customers store
multiple copies on multiple cloud servers. To guarantee the integrity of multi-copies, some …
multiple copies on multiple cloud servers. To guarantee the integrity of multi-copies, some …
Privacy-preserving reputation management for edge computing enhanced mobile crowdsensing
Mobile crowdsensing (MCS) has gained popularity for its potential to leverage individual
mobile devices to sense, collect, and analyze data instead of deploying sensors. As the …
mobile devices to sense, collect, and analyze data instead of deploying sensors. As the …
Identity-based privacy preserving remote data integrity checking for cloud storage
J Li, H Yan, Y Zhang - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
Although cloud storage service enables people easily maintain and manage amounts of
data with lower cost, it cannot ensure the integrity of people's data. In order to audit the …
data with lower cost, it cannot ensure the integrity of people's data. In order to audit the …
Location privacy and its applications: A systematic study
This paper surveys the current research status of location privacy issues in mobile
applications. The survey spans five aspects of study: the definition of location privacy …
applications. The survey spans five aspects of study: the definition of location privacy …