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.

scholarly journals Application of Blockchain for Internet of Things: A Bibliometric Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ruijun Duan ◽  
Li Guo
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Citation Index ◽  
Security Requirements ◽  
Future Research ◽  
Privacy And Security ◽  
Bibliometric Method ◽  
Research Directions ◽  
Security Issues ◽  
Future Research Directions

As a disruptive emerging technology, the Internet of things (IoT) has rapidly developed, but its privacy risks and security vulnerabilities are still key challenges. The decentralized and distributed architecture of blockchain has the potential to satisfy IoT privacy and security requirements. This gives birth to the new domain of blockchain for IoT (BIoT). BIoT will cause significant transformations across several industries, paving the way for new business models. Based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) databases in Web of Science (WoS) Core Collection, this study aims to explore the research trends and cooperation in the field of BIoT using the bibliometric method. The results indicate that the publications in this field have increased significantly from 2016 to 2020, with China and the USA being the most productive and influential countries. Keyword co-occurrence analysis shows that the most important research topics are as follows: security issues, core technologies, application dimensions, and transaction processes. Text mining analysis indicates that future research directions for BloT will focus more on both computing paradigms and key applications. This study will provide researchers with a greater understanding on the state of the art of BIoT and will serve as a reference for researchers engaging in this field to identify their own future research directions.

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.

scholarly journals Object Authentication in the Context of the Internet of Things: A Survey

2020 ◽  
Author(s):  
Maha Saadeh ◽  
Azzam Sleit ◽  
Khair Eddin Sabri ◽  
Wesam Almobaideen
Keyword(s):  
Internet Of Things ◽  
Security Analysis ◽  
Future Research ◽  
The Internet ◽  
Key Generation ◽  
Process Characteristics ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
And Performance ◽  
The Internet Of Things

Internet of Things (IoT) is considered as the future of the Internet that connects billions of objects all together. Trusted communication between these objects is a crucial requirement for the wide deployment of IoT services. Consequently, effective authentication procedures should be applied between the communicating objects. This paper provides a comprehensive survey of object authentication in the IoT. The survey aims to direct future researchers in the field of IoT object authentication by delving into the details of authentication schemes and going through different comparisons. Comparisons are based on various criteria which include authentication process characteristics, the underlying architecture, key generation and distribution techniques, supporting IoT challenges, security analysis, and performance evaluation. Additionally, this survey highlights the main issues and challenges of IoT objects authentication and recommends future research directions.

scholarly journals Block-Chain Based Authorization and Access Control Mechanisms for IoT Environments: Challenges and Opportunities

2020 ◽  
Vol 9 (12) ◽  
pp. 237-244
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Smart Cities ◽  
Data Encryption ◽  
Security Requirements ◽  
Smart Devices ◽  
The Internet ◽  
Control Mechanisms ◽  
Security Measures ◽  
Seamless Integration

Internet of Things (IoT) involves interconnecting smart devices for data collection and making intelligent decisions where, the usual devices become autonomous and smart. With the swift and fast paced developments in the area of smart cities, smart homes, and smart everything the Internet of Things (IoT) is creating an exceptional role that has scope for immense growth and potential. Its objective is the seamless integration of digital and physical worlds into one ecosystem that would lead to the latest intelligent era of the Internet. This state of the art technology can offer huge potential for businesses and offer opportunities for already existent areas like healthcare, energy etc. Yet due to insufficient security techniques IoT is not completely fool proof against security breaches and privacy issues. Since IoT is made up of devices that are resourceconstrained and it has a complex environment, which makes enforcement of security measures even more complicated and tricky. This is where Blockchain’s (BC) “security by design” comes in; that is capable of tackling IoT’s foremost security requirements. Features like transparency, data encryption, auditability, operational resilience and immutability can help remove IoT’s architectural shortcomings. This paper focuses on this relationship and surveys the most relevant work in this area, for analyzing how blockchain is capable of solving the issues related to authorization and access control for IoT environments.

scholarly journals Operations management of smart logistics: A literature review and future research

2021 ◽  
Author(s):  
Bo Feng ◽  
Qiwen Ye
Keyword(s):  
Operations Management ◽  
Optimization Problems ◽  
Future Research ◽  
Information Communication ◽  
Logistics Industry ◽  
Smart Logistics ◽  
Promising Solution ◽  
Future Research Directions ◽  
Offline Channels ◽  
The Internet Of Things

AbstractThe global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

A Comprehensive Survey of Neural Architecture Search

2021 ◽  
Vol 54 (4) ◽  
pp. 1-34
Author(s):  
Pengzhen Ren ◽  
Yun Xiao ◽  
Xiaojun Chang ◽  
Po-yao Huang ◽  
Zhihui Li ◽  
...  
Keyword(s):  
Research Work ◽  
Search Space ◽  
Feature Representation ◽  
Future Research ◽  
Related Research ◽  
Neural Architecture ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
Intuitive Idea ◽  
New Perspective

Deep learning has made substantial breakthroughs in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is crucial to the feature representation of data and the final performance. However, the design of the neural architecture heavily relies on the researchers’ prior knowledge and experience. And due to the limitations of humans’ inherent knowledge, it is difficult for people to jump out of their original thinking paradigm and design an optimal model. Therefore, an intuitive idea would be to reduce human intervention as much as possible and let the algorithm automatically design the neural architecture. Neural Architecture Search ( NAS ) is just such a revolutionary algorithm, and the related research work is complicated and rich. Therefore, a comprehensive and systematic survey on the NAS is essential. Previously related surveys have begun to classify existing work mainly based on the key components of NAS: search space, search strategy, and evaluation strategy. While this classification method is more intuitive, it is difficult for readers to grasp the challenges and the landmark work involved. Therefore, in this survey, we provide a new perspective: beginning with an overview of the characteristics of the earliest NAS algorithms, summarizing the problems in these early NAS algorithms, and then providing solutions for subsequent related research work. In addition, we conduct a detailed and comprehensive analysis, comparison, and summary of these works. Finally, we provide some possible future research directions.

A Survey on Security and Privacy Issues in Modern Healthcare Systems

2021 ◽  
Vol 2 (3) ◽  
pp. 1-44
Author(s):  
Akm Iqtidar Newaz ◽  
Amit Kumar Sikder ◽  
Mohammad Ashiqur Rahman ◽  
A. Selcuk Uluagac
Keyword(s):  
Healthcare Systems ◽  
Security And Privacy ◽  
Health Conditions ◽  
Future Research ◽  
Security Measures ◽  
Implantable Medical Devices ◽  
Manual Intervention ◽  
Security Challenges ◽  
Future Research Directions ◽  
Privacy Violation

Recent advancements in computing systems and wireless communications have made healthcare systems more efficient than before. Modern healthcare devices can monitor and manage different health conditions of patients automatically without any manual intervention from medical professionals. Additionally, the use of implantable medical devices, body area networks, and Internet of Things technologies in healthcare systems improve the overall patient monitoring and treatment process. However, these systems are complex in software and hardware, and optimizing between security, privacy, and treatment is crucial for healthcare systems because any security or privacy violation can lead to severe effects on patients’ treatments and overall health conditions. Indeed, the healthcare domain is increasingly facing security challenges and threats due to numerous design flaws and the lack of proper security measures in healthcare devices and applications. In this article, we explore various security and privacy threats to healthcare systems and discuss the consequences of these threats. We present a detailed survey of different potential attacks and discuss their impacts. Furthermore, we review the existing security measures proposed for healthcare systems and discuss their limitations. Finally, we conclude the article with future research directions toward securing healthcare systems against common vulnerabilities.

Social media engagement tactics in U.S. community policing: Potential privacy and security concerns

2020 ◽  
pp. 0032258X2096858
Author(s):  
Alexander E Carter ◽  
Mariea Hoy ◽  
Betsy Byrne DeSimone
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Health Information ◽  
Community Policing ◽  
Future Research ◽  
Online Relationships ◽  
Privacy And Security ◽  
Research Directions ◽  
Personally Identifiable Information ◽  
Future Research Directions

Despite law enforcement’s best efforts to use social media as a means of community policing, some engagement tactics may lead citizens to disclose personally identifiable information (PII). We coded 200 tweets with the popular #9PMRoutine that tagged @PascoSheriff (Florida) for participant PII. We found numerous postings of adults’ and children’s PII that are problematic including pictures, health information and security-related comments about their routines or vacations. Implications for law enforcement to protect their communities are discussed as well as opportunities to continue to cultivate their online relationships in a more secure forum. We also provide future research directions.

MetaLearning with Graph Neural Networks

2021 ◽  
Vol 23 (2) ◽  
pp. 13-22
Author(s):  
Debmalya Mandal ◽  
Sourav Medya ◽  
Brian Uzzi ◽  
Charu Aggarwal
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Future Research ◽  
Open Problems ◽  
Research Directions ◽  
Graph Problems ◽  
Meta Learning ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
Graph Neural Networks

Graph Neural Networks (GNNs), a generalization of deep neural networks on graph data have been widely used in various domains, ranging from drug discovery to recommender systems. However, GNNs on such applications are limited when there are few available samples. Meta-learning has been an important framework to address the lack of samples in machine learning, and in recent years, researchers have started to apply meta-learning to GNNs. In this work, we provide a comprehensive survey of different metalearning approaches involving GNNs on various graph problems showing the power of using these two approaches together. We categorize the literature based on proposed architectures, shared representations, and applications. Finally, we discuss several exciting future research directions and open problems.

Centralized, Distributed, and Everything in between

2022 ◽  
Vol 54 (7) ◽  
pp. 1-34
Author(s):  
Sophie Dramé-Maigné ◽  
Maryline Laurent ◽  
Laurent Castillo ◽  
Hervé Ganem
Keyword(s):  
Access Control ◽  
Future Research ◽  
The Internet ◽  
Research Directions ◽  
Security Issues ◽  
Security Properties ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Security Of Iot

The Internet of Things is taking hold in our everyday life. Regrettably, the security of IoT devices is often being overlooked. Among the vast array of security issues plaguing the emerging IoT, we decide to focus on access control, as privacy, trust, and other security properties cannot be achieved without controlled access. This article classifies IoT access control solutions from the literature according to their architecture (e.g., centralized, hierarchical, federated, distributed) and examines the suitability of each one for access control purposes. Our analysis concludes that important properties such as auditability and revocation are missing from many proposals while hierarchical and federated architectures are neglected by the community. Finally, we provide an architecture-based taxonomy and future research directions: a focus on hybrid architectures, usability, flexibility, privacy, and revocation schemes in serverless authorization.

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