scholarly journals Some Aspects of Using the Concept of «the Internet of Things» in Crime Counteraction

2020 ◽  
Vol 14 (3) ◽  
pp. 453-460
Author(s):  
Aleksandr Smuskin
Keyword(s):  
Law Enforcement ◽  
Internet Of Things ◽  
Large Scale ◽  
The Internet ◽  
Practical Implementation ◽  
Smart Environment ◽  
Smart House ◽  
Smart Things ◽  
Smart Cars ◽  
The Internet Of Things

The author states that the era of the Internet of Things has come. It is noted that Russian law publications do not pay sufficient attention to the practical issues of law enforcement that arise from the implementation of the Internet of Things, specifically, criminalistic research and the use of smart things by law enforcement bodies. This study a first attempt at a general criminalistic analysis of implementing the concept of the Internet of Things in Russian research publications. While analyzing the practical implementation of this concept, the author concludes that it is necessary not just to single out a smart house, a smart car or smart things as different categories, but to unite them into a system of smart environment. It is noted that the elements of the public sphere of application for the Internet of Things deserve separate studies, while this article will only focus on everyday application. Modern obstacles to a large-scale implementation of the Internet of Things are identified. The criminalistic research of the Internet of Things and smart environment makes it possible to identify key systems that modern appliances form in this sphere, requirements to them, subsystems of a smart house, functions of smart cars and gadgets. It is stated that the criminalistic research of the subsystems of smart environment is possible with the help of scientific criminalistic findings in the sphere of electronic digital traces and electronic evidence. Key points of finding these traces are identified. The author methodically analyzes the kinds of criminalistically relevant information that could be obtained through the examination of sensors and the memory of smart things, a smart car and a smart house. The author also determines the functions whose analysis is vital for collecting evidentiary and orientation information. It is stated that all information from sensors and information devices is, in the end, accumulated in the management center, as well as in cloud and network services servers that work with the Internet of Things. It is stressed that all interactions with electronic digital traces in the devices that implement the concept of the Internet of Things should happen with the participation of a specialist to avoid a loss of data.

scholarly journals A DHT-Based Discovery Service for the Internet of Things

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Future Internet ◽  
Peer To Peer ◽  
The Internet ◽  
Dangerous Goods ◽  
Discovery Service ◽  
Single Attribute ◽  
Smart Things ◽  
The Internet Of Things

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.

scholarly journals Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]

2018 ◽  
Vol 7 (3.12) ◽  
pp. 545
Author(s):  
Risabh Mishra ◽  
M Safa ◽  
Aditya Anand
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Automobile Industry ◽  
Information Exchange ◽  
Large Scale ◽  
Intelligent Transportation System ◽  
Information Service ◽  
The Internet ◽  
Internet Of Vehicles ◽  
The Internet Of Things

Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on  idea of three networks combining into one, we define  Internet of Vehicles as a large-scale distributed system to wireless communication and information exchange between vehicle2X (X: vehicle, road, human and internet).It is a combined   network for supporting intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control, representation of an application of the Internet of Things (IoT) technology for intelligent transportation system (ITS).  

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

scholarly journals The 'Future Internet' and crime: Towards a criminology of the Internet of Things

Crimen ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 255-271
Author(s):  
Sanja Milivojević ◽  
Elizabeth Radulski
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Future Internet ◽  
Natural World ◽  
The Internet ◽  
Starting Point ◽  
The Future ◽  
Emerging Issues ◽  
Smart Things ◽  
The Internet Of Things

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".

scholarly journals Inequalities in the social use of the Internet of things: A capital and skills perspective

2019 ◽  
Vol 21 (6) ◽  
pp. 1344-1361 ◽  
Author(s):  
Alex van der Zeeuw ◽  
Alexander JAM van Deursen ◽  
Giedo Jansen
Keyword(s):  
Internet Of Things ◽  
Social Relations ◽  
The Internet ◽  
Internet Skills ◽  
The Social ◽  
Use Of The Internet ◽  
Social Use ◽  
Smart Things ◽  
Social Uses ◽  
The Internet Of Things

In this article, we set out to explain different types of social uses of the Internet of Things (IoT) using forms of capital and Internet skills. We argue that the IoT platform entices different manners of social communication that are easily overlooked when focusing on the novelty of smart “things.” How people use the IoT socially is crucial in trying to understand how people create, maintain, or absolve social relations in a networked society. We find inversed effects for social capital, income and education on private use, and on sharing IoT data with a partner. Sharing with acquaintances and strangers is predicted by cultural activities. Sharing IoT data with acquaintances can especially be attributed to social relations that escape the immediate household. We conclude that varying figurations of capital and Internet skills predict how the IoT is used socially.

scholarly journals Large Scale Resource Allocation for the Internet of Things Network Based on ADMM

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 57192-57203 ◽  
Author(s):  
Yanhua He ◽  
Sunxuan Zhang ◽  
Liangrui Tang ◽  
Yun Ren
Keyword(s):  
Resource Allocation ◽  
Internet Of Things ◽  
Large Scale ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Advances and Opportunities in Passive Wake-Up Radios with Wireless Energy Harvesting for the Internet of Things Applications

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3078 ◽  
Author(s):  
Hilal Bello ◽  
Zeng Xiaoping ◽  
Rosdiadee Nordin ◽  
Jian Xin
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
The Internet ◽  
Practical Implementation ◽  
Media Access Control ◽  
Rf Energy Harvesting ◽  
Harvesting Technique ◽  
Idle Listening ◽  
Rf Energy ◽  
The Internet Of Things

Wake-up radio is a promising approach to mitigate the problem of idle listening, which incurs additional power consumption for the Internet of Things (IoT) wireless transmission. Radio frequency (RF) energy harvesting technique allows the wake-up radio to remain in a deep sleep and only become active after receiving an external RF signal to ‘wake-up’ the radio, thus eliminating necessary hardware and signal processing to perform idle listening, resulting in higher energy efficiency. This review paper focuses on cross-layer; physical and media access control (PHY and MAC) approaches on passive wake-up radio based on the previous works from the literature. First, an explanation of the circuit design and system architecture of the passive wake-up radios is presented. Afterward, the previous works on RF energy harvesting techniques and the existing passive wake-up radio hardware architectures available in the literature are surveyed and classified. An evaluation of the various MAC protocols utilized for the novel passive wake-up radio technologies is presented. Finally, the paper highlights the potential research opportunities and practical challenges related to the practical implementation of wake-up technology for future IoT applications.

Information Processing and Key Technology Based on Internet of Thing Architecture for Intelligent Refrigerator

2013 ◽  
Vol 278-280 ◽  
pp. 2012-2015
Author(s):  
Lian Shi Lin ◽  
Qing Hu ◽  
Yu Ping Qui
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Electronic Devices ◽  
The Internet ◽  
Reference Architecture ◽  
Virtual Networks ◽  
Key Technology ◽  
Quantification Method ◽  
The Internet Of Things ◽  
Internet Of Thing

The Internet of things is a massive electronic equipment with internet interconnection of large scale virtual networks, including RFID, sensor and actuator electronic devices by the internet interconnection. In order to solve internet of things architecture intelligent refrigerator key technologies, The paper had discussed the internet of things architecture intelligent refrigerator definition, characteristic as well as reference architecture, focused on analysis intelligent refrigerator information space definition, information quantification method and mobile platform equipment internet of things key technology main problems and corresponding solution ways.

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