Proceedings ArticleDOI
Personalization in user profiling: Privacy and security issues
Bhushan S. Atote,Saniya Zahoor,Bharat S. Dangra,Mangesh Bedekar +3 more
- pp 415-417
TLDR
Personalization systems based on user profiles tend to assist the user in his day-to-day tasks by recommending `relevant' content to the user based on his previous Web usage and navigation patterns.Abstract:
Due to the sheer volume of data available on the internet, the problem of information overload is an ever increasing one. Personalization systems based on user profiles tend to assist the user in his day-to-day tasks by recommending ‘relevant’ content to the user based on his previous web usage and navigation patterns. These user profiles hold more and more information about the user, his likes, dislikes as it learns about the user over time. Privacy and security issues of the ‘user profiles’ becomes far the more important as the user profiles actually reflect the user itself albeit in a pseudo form.read more
Citations
More filters
Proceedings ArticleDOI
Inferring emotional state of a user by user profiling
TL;DR: How the profile information is used to get the emotional state of a user and the main issues regarding user profiles are studied from the perspectives of these research fields are studied.
Journal ArticleDOI
Digital persona portrayal: Identifying pluridentity vulnerabilities in digital life
Miguel Angel Olivero,Antonia Bertolino,F. J. Domínguez-Mayo,María José Escalona,Ilaria Matteucci +4 more
TL;DR: A new type of digital attack that can be perpetrated by combining pieces of data belonging to one same Pluridentity in order to profile their target, and a strategy to identify vulnerabilities caused by overexposure due to the combination of data from the constituent identities of a Pluridentsity is presented.
Book ChapterDOI
Proposed Use of Information Dispersal Algorithm in User Profiling
TL;DR: The algorithm for privacy and security purpose of different profiles, with the integration of Information Dispersal Algorithm is proposed, which would be achieved by the use of the private cloud.
Journal ArticleDOI
Smart City Based on Open Data: A Survey
TL;DR: In this paper , the link between open data and smart city in all its aspects, describing what kind of open data is suitable for the smart city, how it is important for its development, and how these open data are processed to create services.
References
More filters
Book ChapterDOI
Collaborative filtering recommender systems
TL;DR: This chapter introduces the core concepts of collaborative filtering, its primary uses for users of the adaptive web, the theory and practice of CF algorithms, and design decisions regarding rating systems and acquisition of ratings.
Journal ArticleDOI
Location privacy in pervasive computing
TL;DR: The mix zone is introduced-a new construction inspired by anonymous communication techniques-together with metrics for assessing user anonymity, based on frequently changing pseudonyms.
Journal ArticleDOI
Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
Bugra Gedik,Ling Liu +1 more
TL;DR: A scalable architecture for protecting the location privacy from various privacy threats resulting from uncontrolled usage of LBSs is described, including the development of a personalized location anonymization model and a suite of location perturbation algorithms.
Proceedings ArticleDOI
Data Security and Privacy Protection Issues in Cloud Computing
Deyan Chen,Hong Zhao +1 more
TL;DR: This paper provides a concise but all-round analysis on data security and privacy protection issues associated with cloud computing across all stages of data life cycle and describes future research work about dataSecurity and privacy Protection issues in cloud.
Proceedings ArticleDOI
Protecting Location Privacy Through Path Confusion
Baik Hoh,Marco Gruteser +1 more
TL;DR: This work concentrates on a class of applications that continuously collect location samples from a large group of users, where just removing user identifiers from all samples is insufficient because an adversary could use trajectory information to track paths and follow users’ footsteps home.