The ‘future Internet’ and crime: towards a criminology of the Internet of Things

2020 ◽  
Vol 32 (2) ◽  
pp. 193-207
Author(s):  
Sanja Milivojevic ◽  
Elizabeth Marie Radulski
Crimen ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 255-271
Author(s):  
Sanja Milivojević ◽  
Elizabeth Radulski

The Internet of Things (IoT) is poised to revolutionise the way we live and communicate, and the manner in which we engage with our social and natural world. In the IoT, objects such as household items, vending machines and cars have the ability to sense and share data with other things, via wireless, Bluetooth, or Radio Frequency IDentification (RFID) technology. "Smart things" have the capability to control their performance, as well as our experiences and decisions. In this exploratory paper, we overview recent developments in the IoT technology, and their relevance for criminology. Our aim is to partially fill the gap in the literature, by flagging emerging issues criminologists and social scientists ought to engage with in the future. The focus is exclusively on the IoT while other advances, such as facial recognition technology, are only lightly touched upon. This paper, thus, serves as a starting point in the conversation, as we invite scholars to join us in forecasting-if not preventing-the unwanted consequences of the "future Internet".


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 27
Author(s):  
Franco Cicirelli ◽  
Antonio Guerrieri ◽  
Andrea Vinci

The Internet of Things (IoT) and related technologies are promising in terms of realizing pervasive and smart applications, which, in turn, have the potential to improve the quality of life of people living in a connected world [...]


2017 ◽  
Vol 9 (3) ◽  
pp. 27 ◽  
Author(s):  
Xiruo Liu ◽  
Meiyuan Zhao ◽  
Sugang Li ◽  
Feixiong Zhang ◽  
Wade Trappe

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Xin Wang

The rapid growth of the Internet of Things has broken people’s way of thinking and brought tremendous changes to people’s lives. For key configurations, the Internet of Things is included in the central distribution component of cloud computing, transmission networks, and sensor acceptance techniques. The future Internet of Things is similar to the human body, with different induction and cognitive fields to complete functional tasks, and is a key component of work efficiency and the creation of intelligent control systems. The laboratory is a training ground for colleges and universities to cultivate creative and commercial talents, and has a special mission of cultivating skills and training talents. In recent years, the quality of laboratory knowledge has been greatly improved, but the management model can still meet the needs of teaching, laboratory and technology opening, scientific research, and the development of new and business talents. In the future, university laboratories should learn high-quality design ideas, use Internet of Things technology, Internet technology and ARM technology to build an effective intelligent management system to understand laboratory intelligence. Therefore, this article recommends a local Web-based laboratory construction program, aimed at improving the quality of test information services, while using Internet technology in the laboratory for RFID technology, wireless sensor network and ZigBee technology. Build a common speech and open platform. Based on the comprehensive collection and indepth analysis of test data, the platform provides applications and services for collaboration, sharing and application to fully meet the needs of different users (such as educators, students, and trial administrators), and focus on monitoring And manage university laboratories. In order for the country to better cultivate its engineering talents in the new era, this is important and historically significant.


Author(s):  
Rune Hylsberg Jacobsen ◽  
Thomas Skjødeberg Toftegaard ◽  
Jens Kristian Kjærgaard

The Internet of Things is a key concept of the Future Internet. The Internet of Things potentially interconnects billions of small devices in a large ubiquitous infrastructure based on the Internet Protocol (IP). Typically, these devices will be limited in computational capacity, memory, and available energy and will suffer a high data loss rate when integrated into a network infrastructure. This poses significant challenges in the network design. This chapter describes the assumptions, technologies, and challenges for transmitting IPv6 over low power wireless personal area networks (LoWPANs). The authors address the key mechanisms from network aspects down to device design aspects and discuss how technologies interplay to make real application deployment practical for the Internet of Things.


2019 ◽  
pp. 2134-2144
Author(s):  
Aditya Pratap Singh ◽  
Pradeep Tomar

Cloud computing has proven itself and is accepted in industrial applications. Cloud computing is based on the co-existence and co-working of various technologies and services from different sources that together make cloud computing a success. Over the last few years, the Internet of Things (IoT) has been widely studied and being applied. The blending of these two efficient technologies may provide an intelligent perception about usage of resources on demand and efficient sharing. The adoption of these two different technologies and usage is likely to be more and more pervasive, making them important components of the future internet-based systems. This chapter focuses on the deployment models of cloud computing in relation to IoT. The implications of cloud computing in view of deployment are discussed. The issues for deployment and optimization related to the merger of IoT with cloud computing are raised.


Author(s):  
Aditya Pratap Singh ◽  
Pradeep Tomar

Cloud computing has proven itself and is accepted in industrial applications. Cloud computing is based on the co-existence and co-working of various technologies and services from different sources that together make cloud computing a success. Over the last few years, the Internet of Things (IoT) has been widely studied and being applied. The blending of these two efficient technologies may provide an intelligent perception about usage of resources on demand and efficient sharing. The adoption of these two different technologies and usage is likely to be more and more pervasive, making them important components of the future internet-based systems. This chapter focuses on the deployment models of cloud computing in relation to IoT. The implications of cloud computing in view of deployment are discussed. The issues for deployment and optimization related to the merger of IoT with cloud computing are raised.


Author(s):  
Matthew N. O. Sadiku ◽  
Mahamadou Tembely ◽  
Sarhan M. Musa

The Internet of Things could be a short-lived phrase since it will soon become the Internet of Services (IoS). IoS is a major pillar of the future Internet because it presents everything on the Internet as a service. The Internet of Things (IoT) will become the enabler of IoS as we move into the service era. Different hardware configurations will enable different kind of services. This paper provides a brief introduction into the Internet of Service.


2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.


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