The Internet of Things and its impact on the library

2016 ◽  
Vol 117 (3/4) ◽  
pp. 289-292 ◽  
Author(s):  
Bruce Massis
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Design Methodology ◽  
Security And Privacy ◽  
The Internet ◽  
Content Type ◽  
Privacy Concerns ◽  
Potential Impact ◽  
The Internet Of Things

Purpose – The purpose of this paper is to consider the Internet of Things (IOT) and its potential impact on libraries. Design/methodology/approach – This paper presents a literature review and a commentary on this topic that have been addressed by professionals, researchers and practitioners. Findings – In communicating the issues when comprehending the scope of the IOT, libraries need not succumb to the sometimes near-hysteria that surrounds the rhetoric regarding security and privacy. But, librarians must actively engage in the conversation and its subsequent actions to respond to patrons who use library networks and devices with calm, logical and transparent answers to those questions concerning what they are doing to ensure that security and privacy vulnerabilities are regularly addressed. Originality/value – The value in concentrating on this topic is to provide background and suggest several approaches to security and privacy concerns regarding the IOT.

A four-step blueprint for digital reinvention

2016 ◽  
Vol 44 (4) ◽  
pp. 18-25 ◽  
Author(s):  
Saul J. Berman ◽  
Peter J. Korsten ◽  
Anthony Marshall
Keyword(s):  
Internet Of Things ◽  
Design Methodology ◽  
The Internet ◽  
Content Type ◽  
New Ways Of Working ◽  
Partner Relationships ◽  
Strategic Focus ◽  
The Internet Of Things ◽  
Practical Implications ◽  
Customer Need

Purpose Digital reinvention helps organizations create unique, compelling experiences for their customers, partners, employees and other stakeholders. Design/methodology/approach Digital reinvention combines the capabilities of multiple technologies, including cloud, cognitive, mobile and the Internet of Things (IoT) to rethink customer and partner relationships from a perspective of fundamental customer need, use or aspiration. Findings The most successful digitally reinvented businesses establish a platform of engagement for their customers, with the business acting as enabler, conduit and partner Practical implications For successful digital reinvention, organizations need to pursue a new strategic focus, build new expertise and establish new ways of working. Originality/value The article offers a blueprint for digital reinvention that involves rethinking customer and partner relationships from a perspective of fundamental customer need, use or aspiration.

scholarly journals A survey of secure middleware for the Internet of Things

2017 ◽  
Author(s):  
Paul Fremantle ◽  
Philip Scott
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Threats ◽  
Strong Focus ◽  
Security Properties ◽  
Iot Platforms ◽  
The Internet Of Things ◽  
Structured Literature Review

The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

scholarly journals A survey of secure middleware for the Internet of Things

2017 ◽  
Author(s):  
Paul Fremantle ◽  
Philip Scott
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Threats ◽  
Strong Focus ◽  
Security Properties ◽  
Iot Platforms ◽  
The Internet Of Things ◽  
Structured Literature Review

The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

Qualitative analysis to determine decision-makers’ attitudes towards e-government services in a De-Facto state

2020 ◽  
Vol 18 (4) ◽  
pp. 609-629 ◽  
Author(s):  
Tuğberk Kaya ◽  
Mustafa Sağsan ◽  
Tunç Medeni ◽  
Tolga Medeni ◽  
Mete Yıldız
Keyword(s):  
Internet Of Things ◽  
Decision Makers ◽  
Security And Privacy ◽  
Small Island ◽  
The Internet ◽  
Content Type ◽  
Government Services ◽  
Effective Application ◽  
Depth Interviews ◽  
The Internet Of Things

Purpose The manner in which people, businesses and governments perform is changing because of the spread of technology. Digitalization of governments can be considered a necessity as we are now entering the era of the Internet-of-Things. The advantages and disadvantages of electronic governments have been examined in several research studies. This study aims to examine the attitudes of decision-makers towards e-government. The research aims are as follows: to determine the problems related with e-government usage, to establish the factors which decrease the usage of e-government services and to propose recommendations for the effective application of e-government practices. Design/methodology/approach Qualitative research has been used for the study. Participants were chosen by the snowball sampling method, and face-to-face in-depth interviews were conducted with all decision-makers. In-depth interviews are more efficient and enable the acquisition of better qualitative information, in-depth knowledge and statistics, as the distance between the interviewer and interviewee is reduced (Stokes and Bergin, 2006). Questions asked can be categorized under two sections, where the questions in the first section are related to the decision-maker’s management style/managerial proposition, and in the second section, technological questions are asked in terms of the preferred communication method and the decision-makers’ attitudes towards e-government practices. Findings Decision-makers perceive electronic government to be important, while the level of importance is observed to be different among the decision-makers. Chronic problems exist in many countries, such as nepotism, where the decision-makers have conflicting arguments about e-government and the resulting effect on nepotism. Furthermore, the study also indicates that decision-makers are aware of the importance of mobile government, although they acknowledge that more time is required, as their country is still developing. Electronic voting is also perceived to be important, although the decision-makers believe that security and privacy issues need to be solved before related projects can be initiated. Originality/value This research can be a benchmark study for the decision-makers of small island developing states by means of e-government. The impediments preventing the effective application of e-government practices are also discussed in the study. This study will be useful to highlight the triggers and obstacles for e-government development in the context of a developing country. Internet penetration has increased significantly since the 2000s, and therefore, decision-makers need to consider the shift in citizens’ behaviour, such as the high usage of smartphones and the emergence of the Internet-of-Things (Kaya and Bicen, 2016; Kumar et al., 2017).

Data replication techniques in the Internet of Things: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xianke Sun ◽  
Gaoliang Wang ◽  
Liuyang Xu ◽  
Honglei Yuan
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Data Processing ◽  
Data Replication ◽  
Primary Data ◽  
The Internet ◽  
Content Type ◽  
The Future ◽  
Efficient Data ◽  
The Internet Of Things

PurposeIn data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So, investigating the data replication mechanisms in the IoT is necessary. Henceforth, a systematic survey of data replication strategies in IoT techniques is presented in this paper, and some suggestions are offered for the upcoming works. In two key classifications, various parameters dependent on the analysis of the prevalent approaches are considered. The pros and cons associated with chosen strategies have been explored, and the essential problems of them have been presented to boost the future of more effective data replication strategies. We have also discovered gaps in papers and provided solutions for them.Design/methodology/approachProgress in Information Technology (IT) growth has brought the Internet of Things (IoT) into life to take a vital role in our everyday lifestyles. Big IoT-generated data brings tremendous data processing challenges. One of the most challenging problems is data replication to improve fault-tolerance, reliability, and accessibility. In this way, if the primary data source fails, a replica can be swapped in immediately. There is a significant influence on the IoT created by data replication techniques, but no extensive and systematic research exists in this area. There is still no systematic and full way to address the relevant methods and evaluate them. Hence, in the present investigation, a literature review is indicated on the IoT-based data replication from papers published until 2021. Based on the given guidelines, chosen papers are reviewed. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest, and IEEE for relevant studies has been performed, and 21(6 paper analyzed in section 1 and 15 paper analyzed in section 3) papers have been analyzed.FindingsThe results showed that data replication mechanisms in the IoT algorithms outperform other algorithms regarding impressive network utilization, job implementation time, hit ratio, total replication number, and the portion of utilized storage in percentage. Although a few ideas have been suggested that fix different facets of IoT data management, we predict that there is still space for development and more study. Thus, in order to design innovative and more effective methods for future IoT-based structures, we explored open research directions in the domain of efficient data processing.Research limitations/implicationsThe present investigation encountered some drawbacks. First of all, only certain papers published in English were included. It is evident that some papers exist on data replication processes in the IoT written in other languages, but they were not included in our research. Next, the current report has only analyzed the mined based on data replication processes and IoT keyword discovery. The methods for data replication in the IoT would not be printed with keywords specified. In this review, the papers presented in national conferences and journals are neglected. In order to achieve the highest ability, this analysis contains papers from major global academic journals.Practical implicationsTo appreciate the significance and accuracy of the data often produced by different entities, the article illustrates that data provenance is essential. The results contribute to providing strong suggestions for future IoT studies. To be able to view the data, administrators have to modify novel abilities. The current analysis will deal with the speed of publications and suggest the findings of research and experience as a future path for IoT data replication decision-makers.Social implicationsIn general, the rise in the knowledge degree of scientists, academics, and managers will enhance administrators' positive and consciously behavioral actions in handling IoT environments. We anticipate that the consequences of the present report could lead investigators to produce more efficient data replication methods in IoT regarding the data type and data volume.Originality/valueThis report provides a detailed literature review on data replication strategies relying on IoT. The lack of such papers increases the importance of this paper. Utilizing the responses to the study queries, data replication's primary purpose, current problems, study concepts, and processes in IoT are summarized exclusively. This approach will allow investigators to establish a more reliable IoT technique for data replication in the future. To the best of our understanding, our research is the first to provide a thorough overview and evaluation of the current solutions by categorizing them into static/dynamic replication and distributed replication subcategories. By outlining possible future study paths, we conclude the article.

Techno-managerial implications towards communication in internet of things for smart cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avinash Pawar ◽  
Ashutosh Kolte ◽  
Balkrishan Sangvikar
Keyword(s):  
Internet Of Things ◽  
Urban Areas ◽  
Design Methodology ◽  
Smart Cities ◽  
The Internet ◽  
The Novel ◽  
Content Type ◽  
The People ◽  
Managerial Implications ◽  
The Internet Of Things

Purpose The purpose of this paper is to explore the significance of the internet of things (IoT) system for smart cities and deliberate on the technological aspects involved in developing smart cities along with the framework, impact and benefits of IoT for smart cities. Design/methodology/approach This research is based on the review and synthesis of the papers on the broader areas of IoT for the application and implication towards the smart cities. The prime focus of this paper is to realize the IoT systems for smart city’s development and implementation of various technologies in the context of the Indian environment. Findings The outcome of the paper explores the highlights of the importance of the IoT system, including the technological framework, impact and benefits for smart cities. The outcome also highlights the application of IoT for smart cities. This paper provides direction regarding future degrees, potential conceivable outcomes and issues concerning the technological side of smart cities. IoT can change the lives of the people and support evolving urban areas for developing smart cities in India. Originality/value The paper deliberates on the novel techno-managerial approach towards the endeavour of smart cities using the IoT.

scholarly journals A Survey of How to Use Blockchain to Secure Internet of Things and the Stalker Attack

2018 ◽  
Vol 2018 ◽  
pp. 1-27 ◽  
Author(s):  
Emanuel Ferreira Jesus ◽  
Vanessa R. L. Chicarino ◽  
Célio V. N. de Albuquerque ◽  
Antônio A. de A. Rocha
Keyword(s):  
Internet Of Things ◽  
Main Chain ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Concerns ◽  
Blockchain Technology ◽  
Transaction Models ◽  
Financial Domain ◽  
Privacy Issues ◽  
The Internet Of Things

The Internet of Things (IoT) is increasingly a reality today. Nevertheless, some key challenges still need to be given particular attention so that IoT solutions further support the growing demand for connected devices and the services offered. Due to the potential relevance and sensitivity of services, IoT solutions should address the security and privacy concerns surrounding these devices and the data they collect, generate, and process. Recently, the Blockchain technology has gained much attention in IoT solutions. Its primary usage scenarios are in the financial domain, where Blockchain creates a promising applications world and can be leveraged to solve security and privacy issues. However, this emerging technology has a great potential in the most diverse technological areas and can significantly help achieve the Internet of Things view in different aspects, increasing the capacity of decentralization, facilitating interactions, enabling new transaction models, and allowing autonomous coordination of the devices. The paper goal is to provide the concepts about the structure and operation of Blockchain and, mainly, analyze how the use of this technology can be used to provide security and privacy in IoT. Finally, we present the stalker, which is a selfish miner variant that has the objective of preventing a node to publish its blocks on the main chain.

scholarly journals The Future of Low-End Motes in the Internet of Things: A Prospective Paper

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 111 ◽  
Author(s):  
Daniel Oliveira ◽  
Miguel Costa ◽  
Sandro Pinto ◽  
Tiago Gomes
Keyword(s):  
Internet Of Things ◽  
Reconfigurable Computing ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
The Internet ◽  
Wireless Sensor Nodes ◽  
Privacy Concerns ◽  
Energy Needs ◽  
Iot Devices ◽  
The Internet Of Things

Undeniably, the Internet of Things (IoT) ecosystem continues to evolve at a breakneck pace, exceeding all growth expectations and ubiquity barriers. From sensor to cloud, this giant network keeps breaking technological bounds in several domains, and wireless sensor nodes (motes) are expected to be predominant as the number of IoT devices grows towards the trillions. However, their future in the IoT ecosystem still seems foggy, where several challenges, such as (i) device’s connectivity, (ii) intelligence at the edge, (iii) security and privacy concerns, and (iv) growing energy needs, keep pulling in opposite directions. This prospective paper offers a succinct and forward-looking review of recent trends, challenges, and state-of-the-art solutions of low-end IoT motes, where reconfigurable computing technology plays a key role in tomorrow’s IoT devices.

scholarly journals Agriculture & Data Privacy: I Want A Hipaa(Potamus) For Christmas . . . Maybe

2021 ◽  
Vol 8 (4) ◽  
pp. 685-733
Author(s):  
Jennifer Zwagerman
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Privacy ◽  
Agricultural Sector ◽  
Security And Privacy ◽  
The Internet ◽  
Data Types ◽  
Privacy Concerns ◽  
The World ◽  
The Internet Of Things

Technology advancements make life, work, and play easier and more enjoyable in many ways. Technology issues are also the cause of many headaches and dreams of living out the copier destruction scene from the movie “Office Space.” Whether it be user error or technological error, one key technology issue on many minds right now is how all the data produced every second of every day, in hundreds of different ways, is used by those that collect it. How much data are we talking about here? In 2018, the tech company Domo estimated that by 2020 “1.7 MB of data will be created every second” for every single person on Earth. In 2019, Domo’s annual report noted that “Americans use 4,416,720 GB of internet data including 188,000,000 emails, 18,100,000 texts and 4,497,420 Google searches every single minute.” And this was before the pandemic of 2020, which saw reliance on remote technology and the internet skyrocket. It is not just social media and working from home that generates data—the “Internet of Things” (“IoT”) is expanding exponentially. From our homes (smart appliances and thermostats), to entertainment (smart speakers and tablets), to what we wear (smartwatches and fitness devices), we are producing data constantly. Over 30 billion devices currently make up the IoT, and that number will double by 2025. The IoT is roughly defined as “devices—from simple sensors to smartphones and wearables—connected together.” That connection allows the devices to “talk” to each other across networks that stretch across the world, sharing information that in turn can be analyzed (alone or combined with data from other users) in ways that may be beneficial to the user or the broader economy. The key word in that last sentence is “may.” When it comes to the data that individuals and businesses across the world produce every second of every day, some of it—perhaps most of it—could be used in ways that are not beneficial to the user or the entire economy. Some data types can be used to cause harm in obvious ways, such as personal identifying information in cases of identity theft. While some data types may seem innocuous or harmful when viewed on their own, when combined with other data from the same user or even other users, it can be used in a wide variety of ways. While I find it beneficial to know how many steps I take in a day or how much time I sleep at night, I am not the only individual or entity with access to that information. The company that owns the device I wear also takes that information and uses it in ways that are beyond my control. Why would a company do that? In many instances, “[t]he data generated by the Internet of Things provides businesses with a wealth of information that—when properly collected, stored, and processed—gives businesses a depth of insight into user behavior never before seen.” Data security and privacy in general are issues that all companies manage as they work to protect the data we provide. Some types of data receive heightened protections, as discussed below, because they are viewed as personal, as private, or as potentially dangerous since unauthorized access to them could cause harm to the user/owner. Some states and countries have taken a step further, focusing not on industry-related data that needs particular types of protection, but in-stead looking at an individual’s overall right to privacy, particularly on the internet. Those protections are summarized below. It makes sense, you might say, to worry about financial or healthcare data remaining private and to not want every website you have ever visited to keep a file of information on you. But why might we care about the use of data in agricultural operations? Depending on who you ask, the answer may be that agricultural data needs no more care or concern than any other type of business data. Some argue that the use of “Big Data” in agriculture provides opportunities for smaller operations and shareholders. These opportunities include increased power in a market driven for many years by the mantra “bigger is better” and increased production of food staples across the world—both in a more environmentally-friendly fashion. While the benefits of technology and Big Data in the agricultural sector unarguably exist, questions remain as to how to best manage data privacy concerns in an industry where there is little specific law or regulation tied to collection, use, and ownership of this valuable agricultural production data. In the following pages, this Article discusses what types of data are currently being gathered in the agricultural sector and how some of that data can and is being used. In addition, it focuses on unique considerations tied to the use of agricultural data and why privacy concerns continue to increase for many producers. As the Article looks at potential solutions to privacy concerns, it summarizes privacy-related legislation that currently exists and ends by looking at whether any of the current privacy-related laws might be used or adapted within the agricultural sector to address potential misuse of agricultural data.

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