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 …
Towards personalized task matching in mobile crowdsensing via fine-grained user profiling
In mobile crowdsensing, finding the best match between tasks and users is crucial to ensure
both the quality and effectiveness of a crowdsensing system. Existing works usually assume …
both the quality and effectiveness of a crowdsensing system. Existing works usually assume …
Trust and reputation management in healthcare systems: taxonomy, requirements and open issues
Trust is a salient feature in the context of health care, which is characterized by uncertainty
and an element of risk. It is a fundamental requirement for the acceptance and adoption of …
and an element of risk. It is a fundamental requirement for the acceptance and adoption of …
$ QnQ $ Q n Q: Quality and Quantity Based Unified Approach for Secure and Trustworthy Mobile Crowdsensing
A major challenge in mobile crowdsensing applications is the generation of false (or spam)
contributions resulting from selfish and malicious behaviors of users, or wrong perception of …
contributions resulting from selfish and malicious behaviors of users, or wrong perception of …
Learning-assisted optimization in mobile crowd sensing: A survey
Mobile crowd sensing (MCS) is a relatively new paradigm for collecting real-time and
location-dependent urban sensing data. Given its applications, it is crucial to optimize the …
location-dependent urban sensing data. Given its applications, it is crucial to optimize the …
A survey on task and participant matching in mobile crowd sensing
Mobile crowd sensing is an innovative paradigm which leverages the crowd, ie, a large
group of people with their mobile devices, to sense various information in the physical world …
group of people with their mobile devices, to sense various information in the physical world …
DTCS: An integrated strategy for enhancing data trustworthiness in mobile crowdsourcing
Mobile crowdsourcing systems (MCSs) are important sources of information for the
positioning services in Internet-of-Things such as gathering location information through …
positioning services in Internet-of-Things such as gathering location information through …
[HTML][HTML] 3VSR: three valued secure routing for vehicular ad hoc networks using sensing logic in adversarial environment
M Sohail, L Wang - Sensors, 2018 - mdpi.com
Today IoT integrate thousands of inter networks and sensing devices eg, vehicular networks,
which are considered to be challenging due to its high speed and network dynamics. The …
which are considered to be challenging due to its high speed and network dynamics. The …
Reputation-based multi-auditing algorithmic mechanism for reliable mobile crowdsensing
Mobile crowdsensing has become an efficient paradigm in which crowd workers are
recruited to collect data by using their mobile smart phones. However, different workers may …
recruited to collect data by using their mobile smart phones. However, different workers may …
[PDF][PDF] The use of mobile applications in soundscape research: open questions in standardization
A Radicchi - environment, 2018 - researchgate.net
In 2014 the ISO norm on soundscape definition and its conceptual framework was
published, and a new ISO norm to standardize soundscape data collection and reporting …
published, and a new ISO norm to standardize soundscape data collection and reporting …