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Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds

Sagar Sharma, James Powers, Keke Chen
2016 Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security - ASIA CCS '16  
The major contributions of this work include two privacy-preserving approximate eigendecomposition algorithms (the secure Lanczos and Nyström methods) for spectral analysis of large graph matrices, and  ...  Data owners can conduct expensive operations in untrusted public clouds with privacy and scalability preserved.  ...  In this paper, we develop a cloud-centric privacy-preserving graph spectral analysis framework that enables data owners to privately store and analyze big graphs with untrusted public clouds.  ... 
doi:10.1145/2897845.2897857 dblp:conf/ccs/SharmaPC16 fatcat:ug7qm6e25beardj76ncuklgusy

PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs

Sagar Sharma, Keke Chen
2017 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)  
This demonstration exhibits a prototype system for privacy-preserving spectral analysis framework for large graphs in public clouds (PrivateGraph) that allows data owners to collect graph data from data  ...  contributors, and store and conduct secure graph spectral analysis in the cloud with preserved privacy and ownership.  ...  We recently proposed the privacy-preserving spectral analysis framework for large graphs in public clouds [8] , a cloudcentric framework that enables data owners to privately store and analyze large graph  ... 
doi:10.1109/icdcs.2017.189 dblp:conf/icdcs/SharmaC17 fatcat:nbnmyrpbxnbzbbp6sx2kwbjscq

Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm

Ferhat Ozgur Catak, Ismail Aydin, Ogerta Elezaj, Sule Yildirim-Yayilgan
2020 Electronics  
In this paper, we propose novel privacy preserving clustering methods, alongside homomorphic encryption schemes that can run on a common high performance computation platform, such as a cloud system.  ...  Thus, these methods provide data privacy, as data are processed in the encrypted domain, without the need for a plain form and this allows outsourcing of the computations to cloud systems.  ...  Contribution Currently, the data, which need to be preserved privately, are part of a large volume and may differ in a wide range of ranges.  ... 
doi:10.3390/electronics9020229 fatcat:tt7twfvvrfdhtgz7islxja2xeq

Privacy-preserving Constrained Spectral Clustering Algorithm for Large-scale Data Sets

Wenfen Liu, Ji Li, Jianghong Wei, Mao Ye, Xuexian Hu
2019 IET Information Security  
In this study, the authors focus on introducing the notion of differential privacy, which is considered as the de facto standard of privacy-preserving data analysis, into spectral clustering.  ...  With the increasing concern on the preservation of personal privacy, privacy-preserving data mining has become a hot topic in recent years.  ...  Acknowledgments This work is supported in part by the National Nature Science  ... 
doi:10.1049/iet-ifs.2019.0255 fatcat:qpk72f4shzb45k6aomtbrxcbwm

2019 Index IEEE Transactions on Knowledge and Data Engineering Vol. 31

2020 IEEE Transactions on Knowledge and Data Engineering  
., +, TKDE March 2019 507-520 PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud.  ...  ., TKDE Oct. 2019 1969-1983 PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud.  ... 
doi:10.1109/tkde.2019.2953412 fatcat:jkmpnsjcf5a3bhhf4ian66mj5y

2020 Index IEEE Transactions on Knowledge and Data Engineering Vol. 32

2021 IEEE Transactions on Knowledge and Data Engineering  
Ma, S., +, Scientific Workflow Protocol Discovery from Public Event Logs in Clouds. Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study.  ...  ., +, TKDE April 2020 714-727 Privacy-Preserving User Profile Matching in Social Networks.  ... 
doi:10.1109/tkde.2020.3038549 fatcat:75f5fmdrpjcwrasjylewyivtmu

Privacy-Preserving Cloud Computing: Ecosystem, Life Cycle, Layered Architecture and Future Roadmap [article]

Saeed Ahmadi
2022 arXiv   pre-print
Likewise, privacy in cloud computing is important because it ensures that the integrity of data stored on the cloud maintains intact.  ...  Privacy-Preserving Cloud Computing is an emerging technology with many applications in various fields.  ...  To analyze big graphs that have been outsourced to the cloud, spectral analysis can be used as desecribed by [205] .  ... 
arXiv:2204.11120v1 fatcat:tx75pckegjgqxg6tiibptiazbi

Cloud-enabled privacy-preserving collaborative learning for mobile sensing

Bin Liu, Yurong Jiang, Fei Sha, Ramesh Govindan
2012 Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems - SenSys '12  
Constructing the model can naturally be performed by a service running in the cloud, but users may be more inclined to contribute training samples if the privacy of these data could be ensured.  ...  In this paper, we consider the design of a system in which Internet-connected mobile users contribute sensor data as training samples, and collaborate on building a model for classification tasks such  ...  We are grateful to members of the Embedded Networks Laboratory who participated in the user study.  ... 
doi:10.1145/2426656.2426663 dblp:conf/sensys/0004JSG12 fatcat:gcp6iizt3ng7jbxohnkibxa4lq

Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems

Sagar Sharma, Keke Chen, Amit Sheth
2018 IEEE Internet Computing  
In this article, we present the research challenges in developing practical privacy-preserving analytics in healthcare information systems.  ...  However, without appropriate privacy protection, conducting data analytics becomes a source of a privacy nightmare.  ...  spectral analysis to a public cloud.  ... 
doi:10.1109/mic.2018.112102519 fatcat:g6hfa77dvvfvlpcfjxsasxecwq

Intelligence based Defense System to Protect from Advanced Persistent Threat by means of Social Engineering on Social Cloud Platform

J. Vijaya Chandra, Narasimham Challa, Sai Kiran Pasupuleti
2015 Indian Journal of Science and Technology  
The impact of security and privacy on cloud performance is calculated using cloud-sim tool, which supports simulating and modeling a large scale cloud infrastructure.  ...  The objective of this paper is, to design and implementation of a defense in depth system to protect social cloud against risks, threats and attacks.  ...  The auditors devote most of their monitoring time in scalable public storage auditing for processing a large volume of data.  ... 
doi:10.17485/ijst/2015/v8i28/63544 fatcat:sfj4bpcku5aptblbe7mkxas4si

Towards Deep Federated Defenses Against Malware in Cloud Ecosystems [article]

Josh Payne, Ashish Kundu
2019 arXiv   pre-print
inference and training while preserving privacy.  ...  With this foundation, we consider the multicloud case, in which multiple clouds with differing privacy requirements cooperate against the spread of malware, proposing the use of federated learning to perform  ...  inference and training while preserving the clouds' individual privacy.  ... 
arXiv:1912.12370v1 fatcat:cbleywzls5g4hm4wbuyipj5u2a

Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey

Abdul Majeed, Sungchang Lee
2020 IEEE Access  
the anonymization scenario, and major differences in amount of private information contained in graphs and relational data, respectively.  ...  We present various representative anonymization methods that have been proposed to solve privacy problems in application-specific scenarios of the SNs.  ...  PRIVACY PRESERVING DYNAMIC DATA PUBLICATION Privacy preserving dynamic data publication (PPDDP) allows organizations to publish a dataset multiple times.  ... 
doi:10.1109/access.2020.3045700 fatcat:zpgu4vvjwneyhhvche3rf2lbze

Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges [article]

Bin Jiang, Jianqiang Li, Guanghui Yue, Houbing Song
2021 arXiv   pre-print
In this paper, we conduct a comprehensive survey on the opportunities, applications and challenges of differential privacy in IIoT.  ...  Recently, differential privacy has been used to protect user-terminal privacy in IIoT, so it is necessary to make in-depth research on this topic.  ...  Privacy-preserving UAV framework Minimizing movements of UAVs - Provide privacy-preserving movements of UAVs New UDiPP graph model [134] 2019 UDiPP privacy for UAV in Smart Cities ε-differential  ... 
arXiv:2101.10569v2 fatcat:xwebjbcvcjhbbaehajhdfjocia


A. Famili
2021 Intelligent Data Analysis  
Editorial Dear Colleague: Welcome to volume 25(5) of Intelligent Data Analysis (IDA) Journal.  ...  The results of theoretical analyses and experimental evaluations demonstrate the effectiveness of the proposed method in preserving personalized privacy in published trajectory data.  ...  In addition, there is a special issue of the IDA journal under preparation entitled: "Cloud/Fog/Edge Computing for Urban Big Data" that is scheduled for publication for next year.  ... 
doi:10.3233/ida-210003 fatcat:6zs4dt7nejdipii5fqhddab54y

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
blockchain, and the DSAI techniques including complex system methods, quantitative methods, intelligent interactions, recognition and responses, data analytics, deep learning, federated learning, privacy-preserving  ...  of smart FinTech futures to the DSAI communities.  ...  Fig. 3 3 The word cloud of the collection on DSAI in FinTech.  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4
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