A comprehensive survey on secure outsourced computation and its applications
With the ever-increasing requirement of storage and computation resources, it is unrealistic
for local devices (with limited sources) to implement large-scale data processing. Therefore …
for local devices (with limited sources) to implement large-scale data processing. Therefore …
Privacy preserving association rule mining: Taxonomy, techniques, and metrics
L Zhang, W Wang, Y Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
In the last decades, pervasive computing is generating a growing quantity of data. Data
mining (DM) technology has become increasingly popular. However, the excessive …
mining (DM) technology has become increasingly popular. However, the excessive …
Preserving data confidentiality in association rule mining using data share allocator algorithm
D Dhinakaran, PM Prathap - arXiv preprint arXiv:2304.14605, 2023 - arxiv.org
These days, investigations of information are becoming essential for various associations all
over the globe. By and large, different associations need to perform information …
over the globe. By and large, different associations need to perform information …
SecureNLP: A system for multi-party privacy-preserving natural language processing
Natural language processing (NLP) allows a computer program to understand human
language as it is spoken, and has been increasingly deployed in a growing number of …
language as it is spoken, and has been increasingly deployed in a growing number of …
Privacy-preserving association rule mining using homomorphic encryption in a multikey environment
H Pang, B Wang - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
With the development of big data and cloud computing, data analysis technologies play an
important role to produce huge market values. Customers with limited computing resources …
important role to produce huge market values. Customers with limited computing resources …
Verifiable privacy-preserving association rule mining using distributed decryption mechanism on the cloud
Y Chen, Q Zhao, P Duan, B Zhang, Z Hong… - Expert Systems with …, 2022 - Elsevier
As one of the important ways in data mining, the association rule mining is to analyze the
correlation of transactions based on massive data and mine the hidden valuable …
correlation of transactions based on massive data and mine the hidden valuable …
Secure association rule mining on vertically partitioned data using private-set intersection
K Nomura, Y Shiraishi, M Mohri, M Morii - IEEE Access, 2020 - ieeexplore.ieee.org
Data mining entails the discovery of unexpected but reusable knowledge from large
unorganized datasets. Among the many available data-mining algorithms, association rule …
unorganized datasets. Among the many available data-mining algorithms, association rule …
[PDF][PDF] Enhancement in privacy preservation in cloud computing using apriori algorithm
Cloud computing provides a set of the advantages, like flexibly of space, security, cost
optimization, and accessibility from any remote location. In cloud computing a database can …
optimization, and accessibility from any remote location. In cloud computing a database can …
Efficient privacy-preserving frequent itemset query over semantically secure encrypted cloud database
W Wu, M Xian, U Parampalli, B Lu - World Wide Web, 2021 - Springer
In recent years, more users tend to use data mining as a service (DMaaS) provided by cloud
service providers. However, while enjoying the convenient pay-per-use mode and powerful …
service providers. However, while enjoying the convenient pay-per-use mode and powerful …
Toward fault-tolerant and secure frequent itemset mining outsourcing in hybrid cloud environment
H Rong, J Liu, W Wu, J Hao, H Wang, M Xian - Computers & Security, 2020 - Elsevier
Due to the rising costs of maintaining IT infrastructures for large-scale data mining, it is
becoming a trend for data owners to outsource data mining tasks together with storage to …
becoming a trend for data owners to outsource data mining tasks together with storage to …