Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
User trustworthiness in online social networks: A systematic review
M Alkhamees, S Alsaleem, M Al-Qurishi… - Applied Soft …, 2021 - Elsevier
The growing popularity of social networks and their easy acceptance of new users have the
unintended consequence of fostering an environment where anonymous users can act in …
unintended consequence of fostering an environment where anonymous users can act in …
A secure IoT service architecture with an efficient balance dynamics based on cloud and edge computing
The Internet of Things (IoT)-Cloud combines the IoT and cloud computing, which not only
enhances the IoT's capability but also expands the scope of its applications. However, it …
enhances the IoT's capability but also expands the scope of its applications. However, it …
A trust-based collaborative filtering algorithm for E-commerce recommendation system
The rise of e-commerce has not only given consumers more choice but has also caused
information overload. In order to quickly find favorite items from vast resources, users are …
information overload. In order to quickly find favorite items from vast resources, users are …
A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services
With the rapid pervasion of location-based services (LBSs), protection of location privacy
has become a significant concern. In most continuous LBSs' privacy-preserving solutions …
has become a significant concern. In most continuous LBSs' privacy-preserving solutions …
Preserving balance between privacy and data integrity in edge-assisted Internet of Things
Internet of Things (IoT) devices and the edge jointly broaden the IoT's sensing capability and
the monitoring scope for various applications. Though accessing sensing data and making …
the monitoring scope for various applications. Though accessing sensing data and making …
Truthful incentive mechanism for nondeterministic crowdsensing with vehicles
In this paper, we focus on the incentive mechanism design for a vehicle-based,
nondeterministic crowdsensing system. In this crowdsensing system, vehicles move along …
nondeterministic crowdsensing system. In this crowdsensing system, vehicles move along …
Trust models of internet of smart things: A survey, open issues, and future directions
Abstract Internet of Things (IoT) is a rapidly growing field which provides seamless
connectivity to physical objects to make them part of smart environment. In order to fully …
connectivity to physical objects to make them part of smart environment. In order to fully …
A structural evolution-based anomaly detection method for generalized evolving social networks
H Wang, Q Gao, H Li, H Wang, L Yan… - The Computer …, 2022 - academic.oup.com
Recently, text-based anomaly detection methods have obtained impressive results in social
network services, but their applications are limited to social texts provided by users. To …
network services, but their applications are limited to social texts provided by users. To …
Sensitivity analysis of an attack-pattern discovery based trusted routing scheme for mobile ad-hoc networks in industrial IoT
RH Jhaveri, NM Patel, Y Zhong, AK Sangaiah - IEEE Access, 2018 - ieeexplore.ieee.org
Mobile ad-hoc networks (MANETs) are pervasive autonomous networks that will play a vital
role in future Industrial Internet-of-Things communication, where smart devices will be …
role in future Industrial Internet-of-Things communication, where smart devices will be …