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Guest Editorial Special Issue on Privacy and Security in Distributed Edge Computing and Evolving IoT

Alireza Jolfaei, Pouya Ostovari, Mamoun Alazab, Iqbal Gondal, Krishna Kant
2020 IEEE Internet of Things Journal  
The article titled "Differentially private high-dimensional data publication in Internet of Things" presents a compressed sensing mechanism to address the challenges in differentially private high-dimensional  ...  The authors claim that their proposed compressed sensing mechanism significantly outperforms the state-of-the-art differentially private mechanisms for high-dimensional data publication.  ... 
doi:10.1109/jiot.2020.2980103 fatcat:ddkwyw5ipfd7zjbdzcws4gapom

Optimality of the Laplace Mechanism in Differential Privacy [article]

Fragkiskos Koufogiannis, Shuo Han, George J. Pappas
2015 arXiv   pre-print
In the highly interconnected realm of Internet of Things, exchange of sensitive information raises severe privacy concerns.  ...  In addition to the ℓ_1-norm which respects individuals' participation, we focus on the use of the ℓ_2-norm which provides privacy of high-dimensional data.  ...  Multiple Users with High-Dimensional Private Data In this section, the case of multiple users contributing their high-dimensional sensitive data is explored. Specifically, consider n individuals.  ... 
arXiv:1504.00065v2 fatcat:typ4ikpb2jgpvcso2fymrv663i

Table of contents

2020 IEEE Internet of Things Journal  
Varadharajan 2630 Differentially Private High-Dimensional Data Publication in Internet of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Choo 2663 Preserving Balance Between Privacy and Data Integrity in Edge-Assisted Internet of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jiot.2020.2980610 fatcat:kn42t7osbndatebk62ec6o7sz4

Multimedia Fusion Privacy Protection Algorithm Based on IoT Data Security under Network Regulations

Guicun Zhu, Xingguo Li, Changlong Zheng, Linlin Wang, Jun Ye
2022 Computational Intelligence and Neuroscience  
is studied for IoT outsourced data computing and public verification, with the help of distributed storage methods, where smart devices encrypt the collected data and upload them to the DHT for storage  ...  This study provides an in-depth analysis and research on multimedia fusion privacy protection algorithms based on IoT data security in a network regulation environment.  ...  In addition to its application in the field of data currency, blockchain technology has been explored in several fields in recent years, such as edge computing, the Internet of things, and telematics,  ... 
doi:10.1155/2022/3574812 pmid:36093500 pmcid:PMC9452945 fatcat:hgu4rhd2n5g6xko2rt6yyli7y4

PPDP-PCAO: An Efficient High-dimensional Data Releasing Method with Differential Privacy Protection

Wanjie LI, Xing ZHANG, Xiaohui LI, Guanghui CAO, Qingyun ZHANG
2019 IEEE Access  
Aiming at the problem of poor availability of publishing results caused by "the curse of dimensionality" in high-dimensional data publishing, we present PPDP-PCAO (Privacy Preserving Data Publishing with  ...  INDEX TERMS Differential privacy, evaluation mechanism, high-dimensional data, mutual information, principal component analysis optimization.  ...  Recently, A few solutions have been proposed to solve the problem of differentially private high-dimensional data Publishing.  ... 
doi:10.1109/access.2019.2957858 fatcat:4uy4og27irfdrnd6sqy3nnq66a

Private True Data Mining: Differential Privacy Featuring Errors to Manage Internet-of-Things Data

Yuichi Sei, Akihiko Ohsuga
2022 IEEE Access  
Ohsuga: Private True Data Mining: Differential Privacy Featuring Errors to Manage Internet-of-Things Data C.  ...  Ohsuga: Private True Data Mining: Differential Privacy Featuring Errors to Manage Internet-of-Things Data FIGURE 3.  ... 
doi:10.1109/access.2022.3143813 fatcat:744x2rlswfewzpkctjpxluibxa

A Privacy Filter Framework for Internet of Robotic Things Applications

Zahir Alsulaimawi
2020 2020 IEEE Security and Privacy Workshops (SPW)  
In recent years, however, they have increasingly been connected to external knowledge resources through the Internet of Things (IoT).  ...  These robots are thus becoming part of IoT and can realistically allocate Internet of Robotic Things (IoRT) technologies.  ...  Individually, we consider the setting in which the data is continuous and high-dimensional, and private labels can be high dimensional vector.  ... 
doi:10.1109/spw50608.2020.00059 fatcat:5fqtvoz2rjhujpltfqltsoqisq

DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization [article]

Honglu Jiang, Haotian Yu, Xiuzhen Cheng, Jian Pei, Robert Pless, Jiguo Yu
2022 arXiv   pre-print
Privacy-preserving data publishing has received considerable attention in recent years. Unfortunately, the differentially private publication of high dimensional data remains a challenging problem.  ...  In this paper, we propose a differentially private high-dimensional data publication mechanism (DP2-Pub) that runs in two phases: a Markov-blanket-based attribute clustering phase and an invariant post  ...  However, the differentially private publication of high dimensional data remains a challenging problem -it suffers from the "Curse of High-Dimensionality" [8] , that is, when the dimensionality increases  ... 
arXiv:2208.11693v1 fatcat:sbg6kx4vfnfffdsphg4t7mg2lm

DIFFERENTIAL PRIVACY FOR IOT-ENABLED CRITICAL INFRASTRUCTURE: A COMPREHENSIVE SURVEY

Muhammad Akbar Husnoo, Adnan Anwar, Ripon K. Chakrabortty, Robin Doss, Mike J. Ryan
2021 IEEE Access  
The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead to its adoption in critical infrastructure.  ...  (SGs), Intelligent Transport Systems (ITSs), healthcare and medical systems, and Industrial Internet of Things (IIoT).  ...  [60] "Internet of things (iot)."  ... 
doi:10.1109/access.2021.3124309 fatcat:vejtyjyrwffeffi7ob2o2svyja

Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity [article]

Honglu Jiang, Yifeng Gao, S M Sarwar, Luis GarzaPerez, Mahmudul Robin
2021 arXiv   pre-print
Differential privacy (DP) has become the de facto standard of privacy preservation due to its strong protection and sound mathematical foundation, which is widely adopted in different applications such  ...  In this paper, we point out a series of limits and open challenges of corresponding research areas.  ...  Differential privacy on high dimensional Data. Most differentially private data publishing techniques cannot work effectively for high dimensional data.  ... 
arXiv:2112.01704v1 fatcat:iltnnc6vxfedtdatthmycckdai

A Survey on Healthcare Systems using Internet of Things

Chitra Ramesh, Jayalakshmi Sekar, J. Kannan R., P. Kommers, A. S, A. Quadir Md
2021 ITM Web of Conferences  
The Internet of Things allows things to become active users, facilitating interaction with things and the sharing of data between them.  ...  Finally this paper demonstrates the Internet of Things and Big Data survey of healthcare systems with a reference table.  ...  In order to connect, participate and cooperate on things, the Internet of Things (IoT) extends human individuality.  ... 
doi:10.1051/itmconf/20213701015 fatcat:xaiz5n6rx5bd5deng4vcfxmsw4

Analysis of Terminal Security Access Technology under Ubiquitous Power Internet of Things

Chao Zhou, Wei Huang, Haitao Jiang, Jing Guo, Ziying Wang
2019 IOP Conference Series: Materials Science and Engineering  
In order to explore the effect of safe access of power system terminals under the action of the Internet of things, the safe access technology of power terminals under the Internet of things was studied  ...  The results showed that under the role of the Internet of things, power system terminals have excellent performance in self-verification of modules and data security detection before access.  ...  much lower than the false alarm rate of the terminal when the Internet of things was not combined before, both in terms of data transmission and network security.  ... 
doi:10.1088/1757-899x/677/4/042067 fatcat:b4zcdet3crerhamtnxjlymejqi

Random Projection to Preserve Patient Privacy

Aris Anagnostopoulos, Fabio Angeletti, Federico Arcangeli, Chris Schwiegelshohn, Andrea Vitaletti
2018 International Conference on Information and Knowledge Management  
in the cloud.  ...  In this paper, we study the application of a random projection-based approach to patient data as a means to achieve two goals: (1) provably mask the identity of users under some adversarial-attack settings  ...  Electronics health-care solutions and, generally speaking, the Internet of Health Things (IoHT) follows the same trend.  ... 
dblp:conf/cikm/Anagnostopoulos18 fatcat:flqzpkg7rjhpfhbjnxuheoj75e

A State of the Art Survey of Machine Learning Algorithms for IoT Security

Alan Fuad Jahwar, Subhi R. M. Zeebaree
2021 Asian Journal of Research in Computer Science  
The Internet of Things (IoT) is a paradigm shift that enables billions of devices to connect to the Internet.  ...  Additionally, the Internet of Things and Cloud Computing complement one another, frequently used interchangeably when discussing technical services and collaborating to provide a more comprehensive IoT  ...  Machine Learning Algorithms for Internet of Things Security, Wei.  ... 
doi:10.9734/ajrcos/2021/v9i430226 fatcat:f7vsso3saregjn462cyel2kukm

Privacy preserving hybrid recommender system based on deep learning

2021 Turkish Journal of Electrical Engineering and Computer Sciences  
In order to eliminate this breach of privacy, we have proposed a 8 private embedding scheme that protects user privacy while ensuring that the nonlinear latent factors are also learnt.  ...  In 9 this paper, we address the privacy in hybrid system using Differential Privacy, a rigorous mathematical privacy mechanism 10 in statistical and machine learning systems.  ...  IEEE 42 Internet of Things Journal 2019; 6 (5):8406-8420.  ... 
doi:10.3906/elk-2010-40 fatcat:blif5nyiq5cf5cemymauyr243a
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