Advances in privacy-preserving computing
نویسندگان
چکیده
منابع مشابه
Privacy preserving in ubiquitous computing: Classification & hierarchy
In this paper, we adopt the classification of personal information and hierarchy of services to build a privacy system, in which one communicates with each other via pipes with different security levels. In each level, one has the corresponding rights to access each other. The requesters are not able to be infringed based on the personal information that service obtains from service providers. ...
متن کاملPrivacy-Preserving Data Outsourcing in Cloud Computing
In cloud computing, data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data has to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data s...
متن کاملPreserving Location Privacy in Mobile Edge Computing
The burgeoning technology of Mobile Edge Computing is attracting the traditional LBS and LS to deploy due to its nature characters such as low latency and location awareness. Although this transplant will avoid the location privacy threat from the central cloud provider, there still exists the privacy concerns in the LS of MEC scenario. Location privacy threat arises during the procedure of the...
متن کاملNew Advances on Privacy-Preserving Policy Reconciliation
Entities define their own set of rules under which they are willing to collaborate, e.g., interact, share and exchange resources or information with others. Typically, these individual policies differ for different parties. Thus, collaboration requires the resolving of differences and reaching a consensus. This process is generally referred to as policy reconciliation. Current solutions for pol...
متن کاملPersonalized Privacy-Preserving Granular Computing Model
As a new computing model, Granular computing provides a new efficient way for solving complicated problems, massive data mining, and fuzzy information processing. Privacy is becoming an increasingly important issue in many data mining applications. In this paper, we combined the existing model of granular computing with personalized privacy-preserving demand, and proposed a new granular computi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Peer-to-peer Networking and Applications
سال: 2021
ISSN: ['1936-6442', '1936-6450']
DOI: https://doi.org/10.1007/s12083-021-01110-9