scholarly journals Smart Agricultural using Internet of Things, Cloud and Big Data

2019 ◽  
Vol 8 (10) ◽  
pp. 3718-3722 ◽  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Agricultural System ◽  
User Input ◽  
Data Architecture ◽  
Smart Agriculture ◽  
Iot Devices ◽  
Real Time Information ◽  
Time Information ◽  
Contemporary Technology

Internet of Things (IoT) plays a crucial role in smart agriculture is an emerging concept, because IOT sensors are capable of providing information about agriculture fields and then act upon based on the user input. A smart agricultural system represents the usage of contemporary technology IoT. Because IoT sensors capable of providing information about their agriculture fields. The proposed aims making use of evolving technology i.e. IoT and smart agriculture using automation big data architecture in combination with cloud computing, mobile computing, big data, by access according to real-time information or data, forecasting, and monitoring of physical items and IoT development is expected to make a notable change in agricultural management and operations. This paper focuses filed monitoring using IoT devices which would provide live soil moisture, humidity and temperature of the field to the farmers.

Research and Implementation of the Smart Home System Based on Internet of Things Environment

2014 ◽  
Vol 513-517 ◽  
pp. 1915-1918
Author(s):  
Heng Wang ◽  
Bi Geng Zheng
Keyword(s):  
Information Technology ◽  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Real Time ◽  
Sensor Network ◽  
Smart Home ◽  
Wireless Sensor ◽  
Internet Of Things Environment ◽  
Real Time Information ◽  
Time Information

As one of the freshest technologies nowadays, the development of Internet of Things is attracting more and more concerns. Internet of Things is able to connect all the items to Internet via information technology such as RFID and Wireless Sensor Network, in order to realize intelligent identification and management. It is supposed in Internet of Things environments, satisfactory services can be provided through any devices or any networks, whenever it is demanded. It makes that not only PC device but also other small devices with intelligence can be connected to the same network. As a result, It is much more convenient for people to obtain real-time information and then to take corresponding actions.

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

2017 ◽  
Vol 2658 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Yupo Chan
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Real Time ◽  
Traffic Management ◽  
Transportation Systems ◽  
Lessons Learned ◽  
Connected Vehicles ◽  
Ongoing Research ◽  
Real Time Information ◽  
Time Information

This paper reviews both the author’s experience with managing highway network traffic on a real-time basis and the ongoing research into harnessing the potential of telecommunications and information technology (IT). On the basis of the lessons learned, this paper speculates about how telecommunications and IT capabilities can respond to current and future developments in traffic management. Issues arising from disruptive telecommunications technologies include the ready availability of real-time information, the crowdsourcing of information, the challenges of big data, and the need for information quality. Issues arising from transportation technologies include autonomous vehicles and connected vehicles and new taxi-like car- and bikesharing. Illustrations are drawn from the following core functions of a traffic management center: ( a) detecting and resolving an incident (possibly through crowdsourcing), ( b) monitoring and forecasting traffic (possibly through connected vehicles serving as sensors), ( c) advising motorists about routing alternatives (possibly through real-time information), and ( d) configuring traffic control strategies and tactics (possibly though big data). The conclusion drawn is that agility is the key to success in an ever-evolving technological scene. The solid guiding principle remains innovative and rigorous analytical procedures that build on the state of the art in the field, including both hard and soft technologies. The biggest modeling and simulation challenge remains the unknown, including such rapidly emerging trends as the Internet of things and the smart city.

scholarly journals Detection of the Hardcoded Login Information from Socket and String Compare Symbols

2021 ◽  
Vol 5 (1) ◽  
pp. 28-39
Author(s):  
Minami Yoda ◽  
Shuji Sakuraba ◽  
Yuichi Sei ◽  
Yasuyuki Tahara ◽  
Akihiko Ohsuga
Keyword(s):  
Internet Of Things ◽  
Static Analysis ◽  
Real World ◽  
Symbolic Execution ◽  
The Internet ◽  
User Input ◽  
Network Function ◽  
Private Data ◽  
String Search ◽  
Iot Devices

Internet of Things (IoT) for smart homes enhances convenience; however, it also introduces the risk of the leakage of private data. TOP10 IoT of OWASP 2018 shows that the first vulnerability is ”Weak, easy to predict, or embedded passwords.” This problem poses a risk because a user can not fix, change, or detect a password if it is embedded in firmware because only the developer of the firmware can control an update. In this study, we propose a lightweight method to detect the hardcoded username and password in IoT devices using a static analysis called Socket Search and String Search to protect from first vulnerability from 2018 OWASP TOP 10 for the IoT device. The hardcoded login information can be obtained by comparing the user input with strcmp or strncmp. Previous studies analyzed the symbols of strcmp or strncmp to detect the hardcoded login information. However, those studies required a lot of time because of the usage of complicated algorithms such as symbolic execution. To develop a lightweight algorithm, we focus on a network function, such as the socket symbol in firmware, because the IoT device is compromised when it is invaded by someone via the Internet. We propose two methods to detect the hardcoded login information: string search and socket search. In string search, the algorithm finds a function that uses the strcmp or strncmp symbol. In socket search, the algorithm finds a function that is referenced by the socket symbol. In this experiment, we measured the ability of our proposed method by searching six firmware in the real world that has a backdoor. We ran three methods: string search, socket search, and whole search to compare the two methods. As a result, all methods found login information from five of six firmware and one unexpected password. Our method reduces the analysis time. The whole search generally takes 38 mins to complete, but our methods finish the search in 4-6 min.

Introduction to Smart City and Agricultural Revolution

2019 ◽  
pp. 135-176
Author(s):  
Rajesh Angadi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Smart City ◽  
Agricultural Development ◽  
Agricultural Revolution ◽  
Information And Communication ◽  
Development Goals ◽  
Smart Agriculture ◽  
National Food Security

In this chapter, a discussion is presented about what Big Data and Internet of Things (IoT) really is and what intricacies are used while building big data and internet of things. Further Big Data and Internet of Things have been used for building an application used for Smart City & Agriculture. A smart city is an urban development vision to integrate multiple information and communication technology (ICT) solutions. Smart city's goal is to improve quality of life with technology to improve the efficiency of services and meet residents' needs. Smart agriculture approach is to develop, transform and reorient agricultural development under new realities of climate change. It increases productivity enhances resilience (adaptation), reduces mitigation with achievement of national food security and development goals. This chapter includes detailed discussion on Smart City and Smart Agriculture along with planning, designing as well as various approaches used to build and implement them effectively.

Towards Intelligent Agriculture Using Smart IoT Sensors

2021 ◽  
pp. 231-249
Author(s):  
Vanita Jaitly ◽  
Shilpa Sharma ◽  
Linesh Raja
Keyword(s):  
Internet Of Things ◽  
Smart Sensors ◽  
Wide Range ◽  
Different Types ◽  
Smart Agriculture ◽  
Cattle Health ◽  
The Impact ◽  
Contemporary Technology

The word “smart” is quite commonly associated with different types of products of IoT sensors and its contemporary technology. The frequent progress in the contemporary technology includes convention and the progressive integration of microprocessor. This gives the smart sensors application to a wide range of applications. Smart sensors when associated with agriculture are known as smart agriculture. With the help of smart sensors, technology of internet of things has helped agriculture in facilitating its efficiency, which further helps in decreasing the impact of environment on the production of the crops and deprecate the expenses. This is done by a few methods like calculating the condition of the environment, which affects the production of the crops, keeping a check on the cattle health and indicating when some problem occurs. The author discussed about sensors, their nature and evolution, generations of smarts sensors, and how they became better with the course of time in terms of smart agriculture.

Big Data and the Internet of Things

2021 ◽  
pp. 1321-1342
Author(s):  
Zablon Pingo ◽  
Bhuva Narayan
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Predictive Analytics ◽  
Negative Impact ◽  
Consumer Products ◽  
Informational Privacy ◽  
Protection Mechanisms ◽  
Iot Devices ◽  
Aid Decision ◽  
Privacy Issues

The privacy construct is an important aspect of internet of things (IoT) technologies as it is projected that over 20 billion IoT devices will be in use by 2022. Among other things, IoT produces big data and many industries are leveraging this data for predictive analytics to aid decision making in health, education, business, and other areas. Despite benefits in some areas, privacy issues have persisted in relation to the use of the data produced by many consumer products. The practices surrounding IoT and Big Data by service providers and third parties are associated with a negative impact to individuals. To protect consumers' privacy, a wide range of approaches to informational privacy protections exist. However, individuals are increasingly required to actively respond to control and manage their informational privacy rather than rely on any protection mechanisms. This chapter highlights privacy issues across consumers' use of IoT and identifies existing responses to enhance privacy awareness as a way of enabling IoT users to protect their privacy.

How the Internet of Things can help knowledge management: a case study from the automotive domain

2017 ◽  
Vol 21 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Lorna Uden ◽  
Wu He
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Current Knowledge ◽  
Time Data ◽  
Content Type ◽  
Useful Knowledge ◽  
Iot Devices ◽  
The Internet Of Things

Purpose Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT). Design/methodology/approach The paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study. Findings This case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively. Originality/value The literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.

scholarly journals Proposal of a Conceptual Architecture System for Informing the User in the IoT Environment

2019 ◽  
Vol 31 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Marko Periša ◽  
Goran Marković ◽  
Peter Kolarovszki ◽  
Radovan Madleňák
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
The Internet ◽  
User Requirements ◽  
Elderly Persons ◽  
System Operation ◽  
Persons With Disabilities ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

Design and development of systems for delivering real-time information to people with disabilities and elderly persons need to be based on defined user requirements. For this purpose, the user requirements have been defined in this paper according to the everyday needs of people who use traffic networks and move in closed spaces. The logical presentation of the functionality of the informing system operation and its subsystems includes all the information (data) important for designing a user information delivery system. The paper presents a conceptual architecture system for delivering user informing services related to the environment based on the Internet of Things concept. The aim of the user informing service is an increase in the level of mobility of persons with disabilities and the senior age groups of users. In order to check the operation of the proposed architecture, the informing system operation was monitored on Arduino Uno and Raspberry Pi platforms in laboratory conditions. A simulation confirmed the interdependence of individual data from different subsystems in order to provide real-time information to the system user. The proposed conceptual architecture can contribute to a more efficient approach to the modeling of assistive technologies (with the aim of informing the users) based on dew/fog/cloud technologies in the Internet of Things  environment.

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