Results 11 to 20 of about 814,610 (249)
Per-se Privacy Preserving Solution Methods Based on Optimization
Ensuring privacy is an essential requirement in various contexts, such as social networks, healthcare data, ecommerce, banks, and government services. Here, different entities coordinate to address specific problems where the sensitive problem data are ...
Weeraddana, Pradeep Chathuranga, +3 more
core +8 more sources
Privacy-Preserving Horizontally Partitioned Linear Programs [PDF]
We propose a simple privacy-preserving reformulation of a linear program whose equality constraint matrix is partitioned into groups of rows. Each group of matrix rows and its corresponding right hand side vector are owned by a distinct private entity ...
Olvi L. Mangasarian, Mangasarian, Olvi
core +1 more source
Privacy-Preserving Passive DNS
The Domain Name System (DNS) was created to resolve the IP addresses of web servers to easily remembered names. When it was initially created, security was not a major concern; nowadays, this lack of inherent security and trust has exposed the global DNS
Pavlos Papadopoulos +4 more
doaj +1 more source
Privacy-preserving association rule mining via multi-key fully homomorphic encryption
Association rule mining is an efficient method to mine the association relationships between different items from large transaction databases, but is vulnerable to privacy leakage as operates over users’ sensitive data directly.
Peiheng Jia +4 more
doaj +1 more source
Boomerang Connectivity Table Revisited. Application to SKINNY and AES
The boomerang attack is a variant of differential cryptanalysis which regards a block cipher E as the composition of two sub-ciphers, i.e., E = E1 o E0, and which constructs distinguishers for E with probability p2q2 by combining differential trails for ...
Ling Song, Xianrui Qin, Lei Hu
doaj +1 more source
Lead federated neuromorphic learning for wireless edge artificial intelligence
Designing energy-efficient computing solution for the implementation of AI algorithms in edge devices remains a challenge. Yang et al. proposes a decentralized brain-inspired computing method enabling multiple edge devices to collaboratively train a ...
Helin Yang +6 more
doaj +1 more source
The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems
With the development of mobile devices, mobile crowdsourcing has become the research hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of mobile user in location-based services is a key problem in MCSS.
Zhongyang Chi +3 more
doaj +1 more source
Privacy-Preserving Monotonicity of Differential Privacy Mechanisms
Differential privacy mechanisms can offer a trade-off between privacy and utility by using privacy metrics and utility metrics. The trade-off of differential privacy shows that one thing increases and another decreases in terms of privacy metrics and ...
Hai Liu +5 more
doaj +1 more source
LocPriS: A Security and Privacy Preserving Location Based Services Development Framework [PDF]
With the ever increasing pervasiveness of devices with functionality to provide location based services comes the increased importance and reliance upon those services to provide user privacy and security.
Gareth Ayres +3 more
core +1 more source
PEIGEN – a Platform for Evaluation, Implementation, and Generation of S-boxes
In this paper, a platform named PEIGEN is presented to evaluate security, find efficient software/hardware implementations, and generate cryptographic S-boxes.
Zhenzhen Bao +3 more
doaj +1 more source

