Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy

2020 ◽  
pp. 154851292095638 ◽  
Author(s):  
Dave Archer ◽  
Michael A August ◽  
Georgios Bouloukakis ◽  
Christopher Davison ◽  
Mamadou H Diallo ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Situational Awareness ◽  
Differential Privacy ◽  
Fall Detection ◽  
Information Warfare ◽  
Privacy And Security ◽  
Fine Grained ◽  
The Us ◽  
Privacy Enhancing Technologies ◽  
The Internet Of Things

This paper describes the collaborative effort between privacy and security researchers at nine different institutions along with researchers at the Naval Information Warfare Center to deploy, test, and demonstrate privacy-preserving technologies in creating sensor-based awareness using the Internet of Things (IoT) aboard naval vessels in the context of the US Navy’s Trident Warrior 2019 exercise. Funded by DARPA through the Brandeis program, the team built an integrated IoT data management middleware, entitled TIPPERS, that supports privacy by design and integrates a variety of Privacy Enhancing Technologies (PETs), including differential privacy, computation on encrypted data, and fine-grained policies. We describe the architecture of TIPPERS and its use in creating a smart ship that offers IoT-enabled services such as occupancy analysis, fall detection, detection of unauthorized access to spaces, and other situational awareness scenarios. We describe the privacy implications of creating IoT spaces that collect data that might include individuals’ data (e.g., location) and analyze the tradeoff between privacy and utility of the supported PETs in this context.

scholarly journals Motion Detection to Preserve Personal Privacy from Surveillance Data using Contrary Motion

2020 ◽  
Vol 8 (6) ◽  
pp. 3892-3895
Keyword(s):  
Internet Of Things ◽  
Privacy Preservation ◽  
Differential Privacy ◽  
Smart Cities ◽  
Value Added ◽  
The Internet ◽  
Sufficient Information ◽  
Personal Privacy ◽  
Privacy And Security ◽  
The Internet Of Things

Internet of Things network today naturally is one of the huge quantities of devices from sensors linked through the communication framework to give value added service to the society and mankind. That allows equipment to be connected at anytime with anything rather using network and service. By 2020 there will be 50 to 100 billion devices connected to Internet and will generate heavy data that is to be analyzed for knowledge mining is a forecast. The data collected from individual devices of IoT is not going to give sufficient information to perform any type of analysis like disaster management, sentiment analysis, and smart cities and on surveillance. Privacy and Security related research increasing from last few years. IoT generated data is very huge, and the existing mechanisms like k- anonymity, l-diversity and differential privacy were not able to address these personal privacy issues because the Internet of Things Era is more vulnerable than the Internet Era [10][20]. To solve the personal privacy related problems researchers and IT professionals have to pay more attention to derive policies and to address the key issues of personal privacy preservation, so the utility and trade off will be increased to the Internet of Things applications. Personal Privacy Preserving Data Publication (PPPDP) is the area where the problems are identified and fixed in this IoT Era to ensure better personal privacy.

scholarly journals Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes

Algorithms ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 290
Author(s):  
Kai Ma ◽  
Ming-Jun Nie ◽  
Sen Lin ◽  
Jianlei Kong ◽  
Cheng-Cai Yang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Insect Pests ◽  
Accurate Identification ◽  
Technical Application ◽  
Network Mining ◽  
Fine Grained ◽  
Feature Expression ◽  
The Internet Of Things ◽  
Different Levels ◽  
Better Than

Accurate identification of insect pests is the key to improve crop yield and ensure quality and safety. However, under the influence of environmental conditions, the same kind of pests show obvious differences in intraclass representation, while the different kinds of pests show slight similarities. The traditional methods have been difficult to deal with fine-grained identification of pests, and their practical deployment is low. In order to solve this problem, this paper uses a variety of equipment terminals in the agricultural Internet of Things to obtain a large number of pest images and proposes a fine-grained identification model of pests based on probability fusion network FPNT. This model designs a fine-grained feature extractor based on an optimized CSPNet backbone network, mining different levels of local feature expression that can distinguish subtle differences. After the integration of the NetVLAD aggregation layer, the gated probability fusion layer gives full play to the advantages of information complementarity and confidence coupling of multi-model fusion. The comparison test shows that the PFNT model has an average recognition accuracy of 93.18% for all kinds of pests, and its performance is better than other deep-learning methods, with the average processing time drop to 61 ms, which can meet the needs of fine-grained image recognition of pests in the Internet of Things in agricultural and forestry practice, and provide technical application reference for intelligent early warning and prevention of pests.

scholarly journals Characteristics and Challenges of the Internet of Things in Entrepreneurship

2020 ◽  
Vol 43 (338) ◽  
pp. 27-34
Author(s):  
Lasma Licite-Kurbe ◽  
Athul Chandramohan
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Health Sector ◽  
The Internet ◽  
Annual Growth Rate ◽  
Privacy And Security ◽  
Compound Annual Growth Rate ◽  
Industrial Iot ◽  
Analysis And Synthesis ◽  
The Internet Of Things

AbstractThe Internet of Things (IoT) is a computing concept that describes the idea of everyday physical objects being connected to the Internet and being able to identify themselves to other devices, and day by day it becomes popular in everyday life as well as in entrepreneurship. The IoT covers broad areas, including manufacturing, the health sector, agriculture, smart cities, security and emergencies among many others. The market for the industrial IoT is estimated to surpass 107 billion euros by 2021 and reach a compound annual growth rate of 7.3% as of 2020. The IoT makes an impact on all industries and provides benefits for various areas of business; however, business may be faced with some risks as well. The research aim is to analyse the benefits and risks of the IoT in entrepreneurship. The descriptive method, analysis and synthesis, the induction and deduction methods were used to achieve the aim. The research has revealed that the IoT can provide several opportunities for business in all fields of operations – marketing, logistics, accounting and human resource management. However, businesses may be faced with some challenges related to privacy and security, processing, analysis and management of data, as well as monitoring and sensing.

Internet of Things Application for Intelligent Cities

2021 ◽  
pp. 251-270
Author(s):  
Wissam Abbass ◽  
Amine Baina ◽  
Mostafa Bellafkih
Keyword(s):  
Risk Assessment ◽  
Internet Of Things ◽  
Smart Cities ◽  
Security Risk ◽  
Privacy And Security ◽  
Security Risk Assessment ◽  
Key Aspects ◽  
Dynamic Services ◽  
The Internet Of Things

The rapid growth of the world's population is placing a huge strain on the existing infrastructures. As a quest for accommodating this growth, interest is turned to the internet of things (IoT). In fact, the IoT is significantly improving today's quality of life by innovating the provided services and enhancing communication and interaction. Furthermore, it has also empowered real-time decision making by introducing dynamic services for innovative traffic handling, energy-efficient infrastructure saving, and public safety ensuring. However, IoT applications for smart cities is still a major issue as it lacks assuring privacy and security within provided services. In this chapter, the authors pinpoint IoT's security risk assessment challenges and examine its critical influence on smart cities. Additionally, they highlight the key aspects characterizing a smart city which also represent the critical assets requiring security risk assessment. Moreover, they discuss the resulting issues and their related countermeasures.

Advanced Cyber Security and Internet of Things for Digital Transformations of the Indian Healthcare Sector

2021 ◽  
pp. 353-372
Author(s):  
Jonika Lamba ◽  
Esha Jain
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Well Being ◽  
Digital Transformation ◽  
Advanced Technology ◽  
Healthcare Sector ◽  
The Internet ◽  
Privacy And Security ◽  
System Resource ◽  
The Internet Of Things

Cybersecurity is not just about fortification of data. It has wide implications such as maintaining safety, privacy, integrity, and trust of the patients in the healthcare sector. This study methodically reviews the need for cybersecurity amid digital transformation with the help of emerging technologies and focuses on the application and incorporation of blockchain and the internet of things (IoT) to ensure cybersecurity in the well-being of the business. It was found in the study that worldwide, advanced technology has been used in managing the flow of data and information, India should focus on maintaining the same IT-enabled infrastructure to reduce causalities in the nation and on the other hand improve administration, privacy, and security in the hospital sector. Depending on the network system, resource allocation, and mobile devices, there is a need to prioritize the resources and efforts in the era of digitalization.

A Survey of Authentication Schemes in the Internet of Things

2019 ◽  
Vol 6 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Yasmine Labiod ◽  
Abdelaziz Amara Korba ◽  
Nacira Ghoualmi-Zine
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Depth Study ◽  
Authentication Schemes ◽  
Iot Devices ◽  
Privacy Issues ◽  
The Internet Of Things

In the recent years, the Internet of Things (IoT) has been widely deployed in different daily life aspects such as home automation, electronic health, the electric grid, etc. Nevertheless, the IoT paradigm raises major security and privacy issues. To secure the IoT devices, many research works have been conducted to counter those issues and discover a better way to remove those risks, or at least reduce their effects on the user's privacy and security requirements. This article mainly focuses on a critical review of the recent authentication techniques for IoT devices. First, this research presents a taxonomy of the current cryptography-based authentication schemes for IoT. In addition, this is followed by a discussion of the limitations, advantages, objectives, and attacks supported of current cryptography-based authentication schemes. Finally, the authors make in-depth study on the most relevant authentication schemes for IoT in the context of users, devices, and architecture that are needed to secure IoT environments and that are needed for improving IoT security and items to be addressed in the future.

Privacy and Security Threats on the Internet of Things

2019 ◽  
pp. 9-43 ◽  
Author(s):  
Sébastien Ziegler ◽  
Cédric Crettaz ◽  
Eunah Kim ◽  
Antonio Skarmeta ◽  
Jorge Bernal Bernabe ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Security Threats ◽  
Privacy And Security ◽  
The Internet Of Things
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