scholarly journals A Comprehensive Survey on Local Differential Privacy toward Data Statistics and Analysis

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7030
Author(s):  
Teng Wang ◽  
Xuefeng Zhang ◽  
Jingyu Feng ◽  
Xinyu Yang
Keyword(s):  
Differential Privacy ◽  
Frequency Estimation ◽  
Building Blocks ◽  
Smart Devices ◽  
Future Research ◽  
Server Side ◽  
Mean Estimation ◽  
Comprehensive Survey ◽  
Data Statistics ◽  
Client Side

Collecting and analyzing massive data generated from smart devices have become increasingly pervasive in crowdsensing, which are the building blocks for data-driven decision-making. However, extensive statistics and analysis of such data will seriously threaten the privacy of participating users. Local differential privacy (LDP) was proposed as an excellent and prevalent privacy model with distributed architecture, which can provide strong privacy guarantees for each user while collecting and analyzing data. LDP ensures that each user’s data is locally perturbed first in the client-side and then sent to the server-side, thereby protecting data from privacy leaks on both the client-side and server-side. This survey presents a comprehensive and systematic overview of LDP with respect to privacy models, research tasks, enabling mechanisms, and various applications. Specifically, we first provide a theoretical summarization of LDP, including the LDP model, the variants of LDP, and the basic framework of LDP algorithms. Then, we investigate and compare the diverse LDP mechanisms for various data statistics and analysis tasks from the perspectives of frequency estimation, mean estimation, and machine learning. Furthermore, we also summarize practical LDP-based application scenarios. Finally, we outline several future research directions under LDP.

scholarly journals A Comprehensive Survey on Local Differential Privacy

2020 ◽  
Vol 2020 ◽  
pp. 1-29 ◽  
Author(s):  
Xingxing Xiong ◽  
Shubo Liu ◽  
Dan Li ◽  
Zhaohui Cai ◽  
Xiaoguang Niu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Statistical Learning ◽  
Data Privacy ◽  
Statistical Estimation ◽  
Differential Privacy ◽  
Future Research ◽  
Reference Source ◽  
Complex Data ◽  
Comprehensive Survey

With the advent of the era of big data, privacy issues have been becoming a hot topic in public. Local differential privacy (LDP) is a state-of-the-art privacy preservation technique that allows to perform big data analysis (e.g., statistical estimation, statistical learning, and data mining) while guaranteeing each individual participant’s privacy. In this paper, we present a comprehensive survey of LDP. We first give an overview on the fundamental knowledge of LDP and its frameworks. We then introduce the mainstream privatization mechanisms and methods in detail from the perspective of frequency oracle and give insights into recent studied on private basic statistical estimation (e.g., frequency estimation and mean estimation) and complex statistical estimation (e.g., multivariate distribution estimation and private estimation over complex data) under LDP. Furthermore, we present current research circumstances on LDP including the private statistical learning/inferencing, private statistical data analysis, privacy amplification techniques for LDP, and some application fields under LDP. Finally, we identify future research directions and open challenges for LDP. This survey can serve as a good reference source for the research of LDP to deal with various privacy-related scenarios to be encountered in practice.

scholarly journals An IoT-Based Ship Berthing Method Using a Set of Ultrasonic Sensors

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5181 ◽  
Author(s):  
Kamolov ◽  
Park
Keyword(s):  
New Technologies ◽  
Experimental System ◽  
Smart Devices ◽  
Raspberry Pi ◽  
Server Side ◽  
Android App ◽  
Charging Program ◽  
Client Side ◽  
Ship Berthing ◽  
The Internet Of Things

It is indisputable that a great deal of brand new technologies such as the internet of things, (IoT) big data, and cloud computing are conquering every aspect of our life. So, in the branch of marine technology, the mentioned technologies are also being applied to obtain more features and to automate marine-related operations as well as creating novel smart devices. As a result of this, traditional ports and ships are being replaced by smart ports and vessels. To achieve this transition, numerous applications need to be developed to make them smart. The purpose of this paper is to present a dedicated an IoT-based system for automating linkage procedures by searching for available locations via port-mounted sensors and planned ship notification. In the experimental system, we have used smartphone as an alternative to the client-side vessel of the system and created an Android app called “Smart Ship Berthing” instead of the charging program, for instance, NORIVIS 4, VDASH, ODYSSEY, etc. To test our proposed server-side system, we used Raspberry Pi with a combination of an ultrasonic sensor to detect the ship and modify the empty berth for anchoring. The experimental results show that the set of UR sensors have high accuracy to detect ships at the port for ship berthing and our proposed system is very amenable to implementation in the real marine environment.

scholarly journals A Javascript GIS Platform Based on Invocable Geospatial Web Services

2018 ◽  
Author(s):  
Konstantinos Evangelidis ◽  
Theofilos Papadopoulos
Keyword(s):  
Web Services ◽  
Location Based Services ◽  
Web Gis ◽  
Smart Devices ◽  
Semantic Web Technologies ◽  
Web Browser ◽  
Server Side ◽  
Client Side ◽  
Geospatial Web Services ◽  
Gis Platform

Semantic Web technologies are being increasingly adopted by the geospatial community during last decade through the utilization of open standards for expressing and serving geospatial data. This was also dramatically assisted by an ever increasing access and usage of geographic mapping and location-based services via smart devices in people’s daily activities. In this paper we explore the developmental framework of a pure Javascript client-side GIS platform exclusively based on invocable geospatial Web services. We also extend Javascript utilization on the server side by deploying a node server acting as a bridge between open source WPS libraries and popular geoprocessing engines. The vehicle for such an exploration is a cross platform Web browser capable of interpreting Javascript commands to achieve interaction with geospatial providers. The tool is a generic Web interface providing capabilities of acquiring spatial datasets, composing layouts and applying geospatial processes. In an ideal form the end-user will have to identify those services, which satisfy a geo-related need and put them in the appropriate row. The final output may act as a potential collector of freely available geospatial web services. Its server-side components may exploit geospatial processing suppliers composing that way a light-weight fully transparent open Web GIS platform.

scholarly journals Privacy-preserving healthcare informatics: a review

2021 ◽  
Vol 36 ◽  
pp. 04005
Author(s):  
Kah Meng Chong
Keyword(s):  
Data Privacy ◽  
Differential Privacy ◽  
State Of The Art ◽  
Future Research ◽  
Sensitive Information ◽  
Research Directions ◽  
Data Anonymization ◽  
Healthcare Data ◽  
Comprehensive Survey ◽  
Future Research Directions

Electronic Health Record (EHR) is the key to an efficient healthcare service delivery system. The publication of healthcare data is highly beneficial to healthcare industries and government institutions to support a variety of medical and census research. However, healthcare data contains sensitive information of patients and the publication of such data could lead to unintended privacy disclosures. In this paper, we present a comprehensive survey of the state-of-the-art privacy-enhancing methods that ensure a secure healthcare data sharing environment. We focus on the recently proposed schemes based on data anonymization and differential privacy approaches in the protection of healthcare data privacy. We highlight the strengths and limitations of the two approaches and discussed some promising future research directions in this area.

scholarly journals Biometrics for Internet-of-Things Security: A Review

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6163
Author(s):  
Wencheng Yang ◽  
Song Wang ◽  
Nor Masri Sahri ◽  
Nickson M. Karie ◽  
Mohiuddin Ahmed ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
Future Research ◽  
Iot Security ◽  
Security Challenges ◽  
Wide Range ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
Iot Devices ◽  
Art Research

The large number of Internet-of-Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric-based authentication systems for IoT are discussed and classified based on different biometric traits and the number of biometric traits employed in the system. As for encryption, biometric-cryptographic systems, which integrate biometrics with cryptography and take advantage of both to provide enhanced security for IoT, are thoroughly reviewed and discussed. Moreover, challenges arising from applying biometrics to IoT and potential solutions are identified and analyzed. With an insight into the state-of-the-art research in biometrics for IoT security, this review paper helps advance the study in the field and assists researchers in gaining a good understanding of forward-looking issues and future research directions.

Software Requirements for Cybercafés

2008 ◽  
pp. 125-146 ◽  
Author(s):  
Ayotokunbo I. Ajewole
Keyword(s):  
Operating System ◽  
Word Processing ◽  
Internet Security ◽  
Software Requirements ◽  
Future Research ◽  
Server Side ◽  
Security Issues ◽  
Basic Software ◽  
Internet Users ◽  
Client Side

This chapter discusses basic software that should be found in a typical cybercafé setup. ‘Software requirements’ are broadly divided into requirements for the server side and client side of the network. As a commercial venture, it is of great importance that only necessary software be found installed in a cybercafé, to meet the café user’s need. Starting with an introduction, a general overview of the café user’s needs are set forth, thereby leading to the division into two broad areas: server and client side. An outline of the chapter is given. The background section gives some details on some basic terminologies (server, client, operating system, etc.) that a cybercafé user/prospective operator might want to get acquainted with. Software requirements for the server side of the café network are discussed first; general features of timing softwares, notes on Internet security, viruses, and spyware. As the café server is a very important element in café management, it is necessary that the server is not overwhelmed by unnecessary tasks thereby leading to a generally slow network. Software for the client side of the café network is discussed next with emphasis on basic software applications often used/requested by café users. Examples of such are word processing applications and graphics viewing software. Since a lot of computer literate people are familiar with the Windows operating system, all software discussed for client use derives from such a perspective. Some security issues necessary for maintaining crisp client computers are also discussed. Due to lack of in-depth knowledge about information security among internet users, the future trends section discusses the applicability of the personal Internet communicator in the Nigerian environment, because of its portability and built in security. Other possible trends in security and cyber-crime are also discussed. The chapter ends with a note that café users will continue to demand faster Internet speeds, and therefore operators must be on the search for latest software to meet their needs, latest security software to keep their café network always clean and secure. Future research directions include software development research to allow café users modify or design their desktops to their own taste while in the café. Complete café solution software is also proposed to cater for everything from operating systems to end-user applications which can be installed once, and from a single source.Literature used for this chapter is sourced mainly from the Internet, and from personal experience of the author, as there are not literatures dealing with ‘cybercafé software’ on a specific note. A whole lot of software are been used, and could be used in a café. This depends actually on general client’s requirements and/or the operator’s amount of know-how /preferences which may vary across different environments.

scholarly journals Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7518
Author(s):  
Shahid Latif ◽  
Maha Driss ◽  
Wadii Boulila ◽  
Zil e Huma ◽  
Sajjad Shaukat Jamal ◽  
...  
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Smart Devices ◽  
Future Research ◽  
Industrial Internet Of Things ◽  
Future Directions ◽  
Industrial Internet ◽  
Potential Applications ◽  
Comprehensive Survey ◽  
Key Enabling Technologies

The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast communication protocols, and efficient cybersecurity mechanisms to improve industrial processes and applications. In large industrial networks, smart devices generate large amounts of data, and thus IIoT frameworks require intelligent, robust techniques for big data analysis. Artificial intelligence (AI) and deep learning (DL) techniques produce promising results in IIoT networks due to their intelligent learning and processing capabilities. This survey article assesses the potential of DL in IIoT applications and presents a brief architecture of IIoT with key enabling technologies. Several well-known DL algorithms are then discussed along with their theoretical backgrounds and several software and hardware frameworks for DL implementations. Potential deployments of DL techniques in IIoT applications are briefly discussed. Finally, this survey highlights significant challenges and future directions for future research endeavors.

scholarly journals Blockchain and IoT Integration: A Systematic Survey

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2575 ◽  
Author(s):  
Alfonso Panarello ◽  
Nachiket Tapas ◽  
Giovanni Merlino ◽  
Francesco Longo ◽  
Antonio Puliafito
Keyword(s):  
Data Encryption ◽  
Security Requirements ◽  
Smart Devices ◽  
Future Research ◽  
Security Measures ◽  
Privacy And Security ◽  
Usage Patterns ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
The Internet Of Things

The Internet of Things (IoT) refers to the interconnection of smart devices to collect data and make intelligent decisions. However, a lack of intrinsic security measures makes IoT vulnerable to privacy and security threats. With its “security by design,” Blockchain (BC) can help in addressing major security requirements in IoT. BC capabilities like immutability, transparency, auditability, data encryption and operational resilience can help solve most architectural shortcomings of IoT. This article presents a comprehensive survey on BC and IoT integration. The objective of this paper is to analyze the current research trends on the usage of BC-related approaches and technologies in an IoT context. This paper presents the following novelties, with respect to related work: (i) it covers different application domains, organizing the available literature according to this categorization, (ii) it introduces two usage patterns, i.e., device manipulation and data management (open marketplace solution), and (iii) it reports on the development level of some of the presented solutions. We also analyze the main challenges faced by the research community in the smooth integration of BC and IoT, and point out the main open issues and future research directions. Last but not least, we also present a survey about novel uses of BC in the machine economy.

DYNAMIC REST SERVICES ORCHESTRATION USING THE KNOWLEDGE BASE

2019 ◽  
Author(s):  
Kostyantyn Kharchenko
Keyword(s):  
Knowledge Base ◽  
Service Oriented Architecture ◽  
Main Idea ◽  
The Real ◽  
Server Side ◽  
Service Oriented ◽  
Services Orchestration ◽  
Client Side ◽  
Abstract Operation ◽  
Microservice Architecture

The approach to organizing the automated calculations’ execution process using the web services (in particular, REST-services) is reviewed. The given solution will simplify the procedure of introduction of the new functionality in applied systems built according to the service-oriented architecture and microservice architecture principles. The main idea of the proposed solution is in maximum division of the server-side logic development and the client-side logic, when clients are used to set the abstract computation goals without any dependencies to existing applied services. It is proposed to rely on the centralized scheme to organize the computations (named as orchestration) and to put to the knowledge base the set of rules used to build (in multiple steps) the concrete computational scenario from the abstract goal. It is proposed to include the computing task’s execution subsystem to the software architecture of the applied system. This subsystem is composed of the service which is processing the incoming requests for execution, the service registry and the orchestration service. The clients send requests to the execution subsystem without any references to the real-world services to be called. The service registry searches the knowledge base for the corresponding input request template, then the abstract operation description search for the request template is performed. Each abstract operation may already have its implementation in the form of workflow composed of invocations of the real applied services’ operations. In case of absence of the corresponding workflow in the database, this workflow implementation could be synthesized dynamically according to the input and output data and the functionality description of the abstract operation and registered applied services. The workflows are executed by the orchestrator service. Thus, adding some new functions to the client side can be possible without any changes at the server side. And vice versa, adding new services can impact the execution of the calculations without updating the clients.

Sign in / Sign up

Export Citation Format

Share Document