Results 21 to 30 of about 119,169 (292)

Pindex: Private multi-linked index for encrypted document retrieval.

open access: yesPLoS ONE, 2021
Cryptographic cloud storage is used to make optimal use of the cloud storage infrastructure to outsource sensitive and mission-critical data. The continuous growth of encrypted data outsourced to cloud storage requires continuous updating.
A John Prakash, B Lydia Elizabeth
doaj   +1 more source

Practical Non-Interactive Searchable Encryption with Forward and Backward Privacy [PDF]

open access: yesProceedings 2021 Network and Distributed System Security Symposium, 2021
In Dynamic Symmetric Searchable Encryption (DSSE), forward privacy ensures that previous search queries cannot be associated with future updates, while backward privacy guarantees that subsequent search queries cannot be associated with deleted documents
Shifeng Sun 0001   +7 more
openaire   +4 more sources

Survey on Privacy Protection Solutions for Recommended Applications [PDF]

open access: yesJisuanji kexue, 2021
In the context of the era of big data,various industries want to train recommendation models based on user behavior data to provide users with accurate recommendations.The common characteristics of the used data are huge amount,carrying sensitive ...
DONG Xiao-mei, WANG Rui, ZOU Xin-kai
doaj   +1 more source

A Forward Privacy Model for RFID Authentication Protocols [PDF]

open access: yes, 2013
In this paper, we propose a new variant of indistinguishability-based security model for the RFID authentication protocol, which allows an adversary to obtain an authentication result and secret key of a target tag. Ng et al. showed that symmetric-key based RFID authentication protocols cannot be resilient to the above information leakage ...
Daisuke Moriyama   +2 more
openaire   +1 more source

The impact of location privacy on opportunistic networks [PDF]

open access: yes, 2011
Opportunistic networking involves forwarding messages between proximate users, who may or may not know one another. This assumes that users are willing to forward messages to each other. This assumption may not hold if users are concerned about using the
Parris, Iain   +3 more
core   +1 more source

Practical privacy-aware opportunistic networking [PDF]

open access: yes, 2011
Opportunistic networks have been the study of much research — in particular on making end-to-end routing efficient. Users’ privacy concerns, however, have not been the subject of much research. What privacy concerns might opportunistic network users have?
Parris, Iain   +3 more
core   +1 more source

A privacy preserving authorisation system for the cloud [PDF]

open access: yes, 2012
In this paper we describe a policy based authorisation infrastructure that a cloud provider can run as an infrastructure service for its users. It will protect the privacy of users’ data by allowing the users to set their own privacy policies, and then ...
Fatema, Kaniz   +3 more
core   +1 more source

Efficient dynamic searchable encryption scheme for conjunctive queries based on bidirectional index

open access: yesTongxin xuebao, 2022
To solve the problems of complicated operation, information leakage, and inflexible query method in the update process of existing dynamic searchable encryption scheme, an efficient dynamic searchable encryption scheme (named BPC-DSSE) for conjunctive ...
Ruizhong DU, Yuqing ZHANG, Mingyue LI
doaj   +2 more sources

Forward Secure Conjunctive-Keyword Searchable Encryption

open access: yesIEEE Access, 2019
Searchable symmetric encryption (SSE) has been applied in constructing secure cloud storage for its simplicity, high-efficiency, and practicality. Recent works show that forward privacy has become a fundamental property required for SSE, and several ...
Chengyu Hu   +6 more
doaj   +1 more source

DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass

open access: yesProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Differentially private stochastic gradient descent (DP-SGD) adds noise to gradients in back-propagation, safeguarding training data from privacy leakage, particularly membership inference. It fails to cover (inference-time) threats like embedding inversion and sensitive attribute inference. It is also costly in storage and computation when used to fine-
Minxin Du   +5 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy