Results 111 to 120 of about 27,257 (306)
Privacy Preservation in IoT: Machine Learning Approaches
, 2022 Privacy Preservation in IoT: Machine Learning ...
S Yu (13325766) +3 more
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Security and Privacy Preservation for Mobile E-Learning via Digital Identity Attributes [PDF]
, 2011 This paper systematically discusses the security and privacy concerns for e-learning systems. A five-layer architecture of e-learning system is proposed. The security and privacy concerns are addressed respectively for five layers.
Yong, Jianming, Yong,Jianming
core +1 more source
Advanced Functional Materials, EarlyView.In this report, a self‐adaptive anhydrous passivation strategy is introduced by incorporating trimellitic anhydride (TMAH) into the perovskite precursor. In situ hydrolysis of TMAH yields trimellitic acid (TMA); ‐C═O/‐COO− groups of TMAH/TMA form a chelate with undercoordinated Pb2+/Sn2+, regulate nucleation, promote (100) orientation, passivate ...
Md. Ataur Rahman +6 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Terminal groups on Cu porphyrins modulate the electronic states of single‐atom Cu centers through a long‐range electronic effect, without altering the Cu coordination geometry. Meanwhile, a multi‐descriptor framework is established that incorporates porphyrin regulation, hybrid catalyst properties, and CO2 photoreduction capabilities.
Yi Zhang +13 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
Economic location-based services, privacy and the relationship to identity
, 2005 Mobile telephony and mobile internet are driving a new application paradigm: location-based services (LBS). Based on a person’s location and context, personalized applications can be deployed.
Fritsch, Lothar
core
Improving k-anonymity based privacy preservation for collaborative filtering
, 2018 Available online 9 March 2018Collaborative Filtering (CF) is applied in recommender systems to predict users’ preference through filtering the information or patterns.
Hong Shen +8 more
core +1 more source
Advanced Functional Materials, EarlyView.Diagnostic analysis via the heterojunction validation funnel. The funnel illustrates the hierarchical stratification of 30 reported Type‐II systems based on the three‐phase, seven‐step diagnostic framework. Complete validation through all phases is achieved by only 3.3% of systems, while 96.7% lack full mechanistic validation, revealing a pervasive ...
Ki‐Hyun Kim
wiley +1 more source
Multilevel Anti Discrimination and Privacy Preservation Correlativity
, 2015 In the fast growing technology, most organizations will need to reveal their crucial data which includes the sensitive information that discloses one’s identity during their business analytics and to provide services.
, Naveena M.S, Ms. Merlin Shoerio
core +1 more source
Privacy preservation in big data:a survey
大数据, 2016 Privacy disclosure issue becomes more and more serious due to big data analysis.Privacy-preserving techniques should be conductive to the big data applications while preserving data privacy.Since big data has the characteristics of huge scale,numerous ...
Binxing FANG +3 more
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