scholarly journals Holistic Privacy-Preserving Identity Management System for the Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Jorge Bernal Bernabe ◽  
Jose L. Hernandez-Ramos ◽  
Antonio F. Skarmeta Gomez
Keyword(s):  
Internet Of Things ◽  
Management System ◽  
Large Scale ◽  
Identity Management ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
The Internet ◽  
Identity Management System ◽  
Anonymous Credential ◽  
The Internet Of Things

Security and privacy concerns are becoming an important barrier for large scale adoption and deployment of the Internet of Things. To address this issue, the identity management system defined herein provides a novel holistic and privacy-preserving solution aiming to cope with heterogeneous scenarios that requires both traditional online access control and authentication, along with claim-based approach for M2M (machine to machine) interactions required in IoT. It combines a cryptographic approach for claim-based authentication using the Idemix anonymous credential system, together with classic IdM mechanisms by relying on the FIWARE IdM (Keyrock). This symbiosis endows the IdM system with advanced features such as privacy-preserving, minimal disclosure, zero-knowledge proofs, unlikability, confidentiality, pseudonymity, strong authentication, user consent, and offline M2M transactions. The IdM system has been specially tailored for the Internet of Things bearing in mind the management of both users’ and smart objects’ identity. Moreover, the IdM system has been successfully implemented, deployed, and tested in the scope of SocIoTal European research project.

On perspective of security and privacy-preserving solutions in the internet of things

2016 ◽  
Vol 102 ◽  
pp. 83-95 ◽  
Author(s):  
Lukas Malina ◽  
Jan Hajny ◽  
Radek Fujdiak ◽  
Jiri Hosek
Keyword(s):  
Internet Of Things ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Intelligent Algorithms of Wireless Communication for Internet of Things Service Security and Privacy Assurance

2021 ◽  
Author(s):  
Yuanguo Wang ◽  
Xiaogang Jiang ◽  
Qian Yu ◽  
Xiuling Zhang ◽  
Bailu Zhao ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Communication Networks ◽  
Data Exchange ◽  
Large Scale ◽  
Low Complexity ◽  
Internet Security ◽  
Security And Privacy ◽  
The Internet ◽  
Management Service ◽  
The Internet Of Things

Abstract Due to its huge application potential, the Internet of Things has received extensive attention from governments, academia and industry. The core concepts of the Internet of Things are perception, control, transmission and intelligence. Through technical means, the coordination of things and things, people and things, and people and people has been realized, thus forming a network based on sensor networks, the Internet, and mobile communication networks. A larger complex network system. However, restricted by the characteristics of network structure, terminal equipment, communication methods, application scenarios, etc., some security and privacy issues unique to the Internet of Things cannot be directly solved by existing Internet security technologies. Aiming at the general high complexity of existing algorithms, this article starts with the different phase-frequency characteristics of different filters, and designs a new low-complexity reduction system algorithm. According to the characteristics of the system that the filter structure can be flexibly selected, the method randomly allocates different filters to each sub-carrier and adjusts the phase of signal superimposition, thereby constructing a coordinated communication facility and management service coordination suitable for large-scale distributed IoT services. The interactive access control architecture realizes the confidentiality of data exchange between services.

scholarly journals Key Technologies of IoT Service Security and Privacy Protection

CONVERTER ◽  
2021 ◽  
pp. 70-79
Author(s):  
Dongxian Yu, Jiatao Kang, Junlei Dong
Keyword(s):  
Internet Of Things ◽  
Privacy Protection ◽  
Data Exchange ◽  
Large Scale ◽  
Security And Privacy ◽  
The Internet ◽  
Technical Problems ◽  
Key Technologies ◽  
Privacy Issues ◽  
The Internet Of Things

The Internet of Things in the industrial industry has attracted widespread attention from the government, academia, and industry due to its huge application prospects. The core ideas of the Internet of things are perception, control, transmission and intelligence. Through technical means to achieve the coordination between things, people and things, and people, so as to form a larger complex network system on the basis of sensor network, Internet and mobile communication network. The data Shared by Internet of things information is closely related to personal life behaviors, and the information has a greater perceived correlation with each other. This kind of sensibility and sensitivity put forward higher requirements for the security and privacy protection of Internet of things information sharing. However, due to the characteristics of network structure, terminal equipment, communication mode and application scenario, some security and privacy issues unique to the Internet of things cannot be solved directly through existing Internet security technologies. It is necessary to conduct in-depth research on the key technologies of Internet of things security and privacy protection. This article briefly describes the Internet of things security and privacy issues, then, it gives the research and application status of Internet of things security and privacy protection at home and abroad, then lists the key technical problems in Internet of things security and privacy protection. And for communication between large scale collaborative services. Based on publish/subscribe paradigm, this paper constructs collaborative communication facilities of Internet of things services suitable for large-scale distribution, and an access control architecture for managing service synergy interactions, achieve confidentiality of data exchange between services and privacy protection of service policies.

scholarly journals Identity Identification and Management in the Internet of Things

2020 ◽  
Vol 17 (4A) ◽  
pp. 645-654
Author(s):  
Zina Houhamdi ◽  
Belkacem Athamena
Keyword(s):  
Internet Of Things ◽  
Identity Management ◽  
Recognition Algorithm ◽  
The Internet ◽  
User Identification ◽  
Smart Object ◽  
Private Data ◽  
Identity Management System ◽  
Machine Communication ◽  
The Internet Of Things

Henceforth, users agreed on the necessity of continuous Internet connection independently of the place, the manner, and the time. Nowadays, several elite services are accessible by people over the Internet of Things (IoT), which is a heterogeneous network defined by machine-to-machine communication. Despite the fact that the devices are used to establish the communication, the users can be considered as the actual producers of input data and consumers of the output data. Consequently, the users should be viewed as a smart object in IoT; therefore, user identification, authentication, authorization are required. However, the user identification process is too complicated because the users are worried to share their confidential and private data. on the other hand, this private data should be used by some of their devices. Accordingly, an equitable mechanism to identify users and manage their identities is necessary. In addition, the user plays an extreme important role in the establishment of rules needed for identity identification and in ensuring the continuity of receptive services.The main purpose of this paper is to develop a new framework for Identity Management System (IdMS) for IoT. The primary contributions of this paper are: the proposition of a device recognition algorithm for user identification, the proposition of a new format for the identifier, and a theoretical framework for IdMS

scholarly journals Identity Management Systems for the Internet of Things: A Survey Towards Blockchain Solutions

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4215 ◽  
Author(s):  
Xiaoyang Zhu ◽  
Youakim Badr
Keyword(s):  
Internet Of Things ◽  
Identity Management ◽  
Security And Privacy ◽  
Management Systems ◽  
Future Research ◽  
The Internet ◽  
Digital Identity ◽  
Identity Management Systems ◽  
The Internet Of Things ◽  
Digital Identity Management

The Internet of Things aims at connecting everything, ranging from individuals, organizations, and companies to things in the physical and virtual world. The digital identity has always been considered as the keystone for all online services and the foundation for building security mechanisms such as authentication and authorization. However, the current literature still lacks a comprehensive study on the digital identity management for the Internet of Things (IoT). In this paper, we firstly identify the requirements of building identity management systems for IoT, which comprises scalability, interoperability, mobility, security and privacy. Then, we trace the identity problem back to the origin in philosophy, analyze the Internet digital identity management solutions in the context of IoT and investigate recent surging blockchain sovereign identity solutions. Finally, we point out the promising future research trends in building IoT identity management systems and elaborate challenges of building a complete identity management system for the IoT, including access control, privacy preserving, trust and performance respectively.

scholarly journals SEAL-Embedded: A Homomorphic Encryption Library for the Internet of Things

2021 ◽  
pp. 756-779
Author(s):  
Deepika Natarajan ◽  
Wei Dai
Keyword(s):  
Internet Of Things ◽  
High Performance ◽  
Homomorphic Encryption ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
The Internet ◽  
Embedded Devices ◽  
Computational Overhead ◽  
The Internet Of Things ◽  
Memory Efficient

The growth of the Internet of Things (IoT) has led to concerns over the lack of security and privacy guarantees afforded by IoT systems. Homomorphic encryption (HE) is a promising privacy-preserving solution to allow devices to securely share data with a cloud backend; however, its high memory consumption and computational overhead have limited its use on resource-constrained embedded devices. To address this problem, we present SEAL-Embedded, the first HE library targeted for embedded devices, featuring the CKKS approximate homomorphic encryption scheme. SEAL-Embedded employs several computational and algorithmic optimizations along with a detailed memory re-use scheme to achieve memory efficient, high performance CKKS encoding and encryption on embedded devices without any sacrifice of security. We additionally provide an “adapter” server module to convert data encrypted by SEAL-Embedded to be compatible with the Microsoft SEAL library for homomorphic encryption, enabling an end-to-end solution for building privacy-preserving applications. For a polynomial ring degree of 4096, using RNS primes of 30 or fewer bits, our library can be configured to use between 64–137 KB of RAM and 1–264 KB of flash data, depending on developer-selected configurations and tradeoffs. Using these parameters, we evaluate SEAL-Embedded on two different IoT platforms with high performance, memory efficient, and balanced configurations of the library for asymmetric and symmetric encryption. With 136 KB of RAM, SEAL-Embedded can perform asymmetric encryption of 2048 single-precision numbers in 77 ms on the Azure Sphere Cortex-A7 and 737 ms on the Nordic nRF52840 Cortex-M4.

The case for blockchain in IoT identity management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrícia R. Sousa ◽  
João S. Resende ◽  
Rolando Martins ◽  
Luís Antunes
Keyword(s):  
Internet Of Things ◽  
Design Methodology ◽  
Identity Management ◽  
Privacy Preserving ◽  
Use Cases ◽  
The Internet ◽  
Use Case ◽  
Ongoing Research ◽  
Content Type ◽  
The Internet Of Things

PurposeThe aim of this paper is to evaluate the use of blockchain for identity management (IdM) in the context of the Internet of things (IoT) while focusing on privacy-preserving approaches and its applications to healthcare scenarios.Design/methodology/approachThe paper describes the most relevant IdM systems focusing on privacy preserving with or without blockchain and evaluates them against ten selected features grouped into three categories: privacy, usability and IoT. Then, it is important to analyze whether blockchain should be used in all scenarios, according to the importance of each feature for different use cases.FindingsBased on analysis of existing systems, Sovrin is the IdM system that covers more features and is based on blockchain. For each of the evaluated use cases, Sovrin and UniquID were the chosen systems.Research limitations/implicationsThis paper opens new lines of research for IdM systems in IoT, including challenges related to device identity definition, privacy preserving and new security mechanisms.Originality/valueThis paper contributes to the ongoing research in IdM systems for IoT. The adequacy of blockchain is not only analyzed considering the technology; instead the authors analyze its application to real environments considering the required features for each use case.

Multi-Disciplinary Opinions Focused on Healthcare Sector for Global Pandemic: COVID-19 (Preprint)

2020 ◽  
Author(s):  
Vinod Kumar Verma
Keyword(s):  
Internet Of Things ◽  
Research Community ◽  
Security And Privacy ◽  
Healthcare Sector ◽  
The Internet ◽  
Thought Process ◽  
Related Information ◽  
Global Pandemic ◽  
The People ◽  
The Internet Of Things

BACKGROUND COVID- 19 pandemics has affected the life of every human being in this world dramatically. The daily routine of the human has been changed to an uncertain extent. Some of the people are affected by the COVID-19, and some of the people are in fear of this epidemic. This has completely changed the thorough process of the people, and now, they are looking for solutions of this pandemic at different levels of the human addressable areas. These areas include medicine, vaccination, precautions, psychology, technology-assisted solutions like information technology, etc. There is a need to think in the direction of technology compliant solutions in the era of COVID-19 pandemic. OBJECTIVE The objective of this paper is to discuss the existing views and focus on the recommendations for the enhancement in the current situation from COVID-19. METHODS Based on the literature, perceptions, challenges, and viewpoints, the following opinions are suggested to the research community for the prevention and elimination of global pandemic COVID-19. The research community irrespective of the discipline focus on the following: 1. The comprehensive thought process for the designing of the internet of things (IoT) based solutions for healthcare applications used in the prevention from COVID-19. 2. Strategies for restricting outbreak of COVID-19 with the emerging trends in Ehealthcare applications. Which should be the optimal strategy to deal with a global pandemic? 3. Explorations on the data analysis as derived from the advanced data mining and warehousing associated with IoT. Besides, cloud-based technologies can be incorporated for the global spread of healthcare-related information to serve the community of different countries in the world. 4. The most adaptable method and technology can be deployed for the development of innovative solutions for COVID-19 related people like smart, patient-centric healthcare information systems. 5. Implementation of smart solutions like wearable technology for mask and PPE along with their disposal can be considered to deal with a global epidemic like COVID-19. This will lead to the manufacturing and incorporation of wearable technologies in the healthcare sector by industries. 6. A Pervasive thought process can be standardized for dealing with global pandemic like COVID-19. In addition, research measures should be considered for the security and privacy challenges of IoT services carrying healthcare-related information. These areas and directions are diverse but, in parallel, the need for healthy bonding and correlation between the people like researchers and scientists irrespective of their discipline. The discipline may vary from medical, engineering, computing, finance, and management, etc. In addition, standard protocols and interoperability measures can be worked out for the exchange of information in the global pandemic situations. RESULTS Recommendations Discussed CONCLUSIONS In this paper, the opinions have been discussed in the multi-disciplinary areas of research like COVID-19 challenges, medicines and vaccines, precautionary measures, technology assistance, and the Internet of Things. These opinions and discussion serve as an integrated platform for researchers and scientists to think about future perspectives to deal with healthcare-related COVID-19 pandemic situation. This includes the original, significant, and visionary automation based ideas, innovations, scientific designs, and applications focusing on Inter-disciplinary technology compliant solutions like IoT, vaccinations, manufacturing, preventive measures, etc. for the improvement of efficiency and reliability of existing healthcare systems. For the future, there is dire need to strengthen the technology not only in the one area but also for the interdisciplinary areas to recover from the pandemic situation rapidly and serve the community.

Open Issues and Security Challenges of Data Communication Channels in Distributed Internet of Things (IoT): A Survey

2018 ◽  
Vol 3 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Ernest Ezema ◽  
Azizol Abdullah ◽  
Nor Fazlida Binti Mohd
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Industrial Revolution ◽  
Security And Privacy ◽  
The Internet ◽  
Ongoing Research ◽  
Advantages And Disadvantages ◽  
Exchange Information ◽  
The Internet Of Things ◽  
Open Issues

The concept of the Internet of Things (IoT) has evolved over time. The introduction of the Internet of Things and Services into the manufacturing environment has ushered in a fourth industrial revolution: Industry 4.0. It is no doubt that the world is undergoing constant transformations that somehow change the trajectory and history of humanity. We can illustrate this with the first and second industrial revolutions and the information revolution. IoT is a paradigm based on the internet that comprises many interconnected technologies like RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actor Networks) to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. The IoT services can have centralized or distributed architecture. The centralized approach provides is where central entities acquire, process, and provide information while the distributed architectures, is where entities at the edge of the network exchange information and collaborate with each other in a dynamic way. To understand the two approaches, it is necessary to know its advantages and disadvantages especially in terms of security and privacy issues. This paper shows that the distributed approach has various challenges that need to be solved. But also, various interesting properties and strengths. In this paper we present the main research challenges and the existing solutions in the field of IoT security, identifying open issues, the industrial revolution and suggesting some hints for future research.

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