Results 111 to 120 of about 2,213,706 (287)

Analyzing users’ behaviour to identify their privacy concerns [PDF]

, 2010
The majority of studies examining privacy concerns of Internet users are based on surveys. Many problems have, however, been identified with using surveys to measure people’s privacy concerns.
Cunningham, Sally Jo, Masoodian, Masood
core  

Internet privacy concerns confirm the case for intervention [PDF]

, 1999
Roger Clarke
openalex   +1 more source

Security Policies Approached by Value Analysis Concepts [PDF]

This paper intends to redefine the role of the end users of the Internet facilities, in the process of creation of more secure transactions on the Internet, in respect of their privacy.
Florin Buhociu, Florina Virlanuta, Liliana Moga   +2 more
core  

On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks [PDF]

arXiv, 2018
In a decentralized Internet of Things (IoT) network, a fusion center receives information from multiple sensors to infer a public hypothesis of interest. To prevent the fusion center from abusing the sensor information, each sensor sanitizes its local observation using a local privacy mapping, which is designed to achieve both inference privacy of a ...
arxiv  

Beyond Lessig's Code for Internet Privacy: Cyberspace Filters, Privacy Control and Fair Information Practices [PDF]

, 2001
Paul M. Schwartz
openalex   +1 more source

Privacy in the Internet of Things [PDF]

Wireless Communications and Mobile Computing, 2018
Zhipeng Cai, Rong N. Chang, Stefan Forsström, Anton Kos, Chaokun Wang   +4 more
openaire   +3 more sources

Internet Seals of Approval: Effects on Online Privacy Policies and Consumer Perceptions [PDF]

, 2002
Anthony D. Miyazaki, Sandeep Krishnamurthy   +1 more
openalex   +1 more source

Preventing Privacy Attacks and Cybercrime in the Mobile Internet [PDF]

, 2002
Simone Fischer-Huebner, Alberto Escudero Pascual, Helena Lindskog   +2 more
openalex   +1 more source

HAFedL: A Hessian-Aware Adaptive Privacy Preserving Horizontal Federated Learning Scheme for IoT Applications

IEEE Access
Federated Learning (FL) is a paradigm in distributed machine learning, which has gained significant attention in the recent years especially in the domain of Internet of Things.
Sumitra, Jaya Sharma, Meetha V. Shenoy
doaj   +1 more source

Noise-added selection method for location-based service using differential privacy in Internet of Things

Advances in Mechanical Engineering, 2019
With the development of Internet of Things, many applications need to use people’s location information, resulting in a large amount of data need to be processed, called big data.
Zhimin Li, Haoze Lv, Zhaobin Liu
doaj   +1 more source