A probable effect of the development of internet technology on insurance & banking sectors, decision processes and service structures

2020 ◽  
Vol 1 (1) ◽  
pp. 36-41
Author(s):  
Ali Osman Serdar Citak
Keyword(s):  
Internet Of Things ◽  
Decision Processes ◽  
Internet Technology ◽  
Smart Sensors ◽  
The Internet ◽  
Future Expectations ◽  
History Of ◽  
Probable Effect ◽  
Near Future ◽  
The Internet Of Things

The history of the development of the Internet of Things (IoT) covers the last twenty years. Despite the short of time, the concept and implementation of the Internet of Things have widely spread all over the world. The impetus of the dissemination of the concept has exponential speed. In the near future, billions of smart sensors and devices will interact with one another without human intervention. The early impact of the Internet of Things has been observed and discussed in the areas of technology, transportation, production, and marketing. The prospective effect of the Internet of Things on the finance sector has been discussed recently. In this study, the development of the concept of the Internet of Things and it is effect on the finance sector and specifically the insurance and banking sectors and future expectations have been evaluated.

scholarly journals Detecting Sensor Faults, Anomalies and Outliers in the Internet of Things: A Survey on the Challenges and Solutions

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 511 ◽  
Author(s):  
Anuroop Gaddam ◽  
Tim Wilkin ◽  
Maia Angelova ◽  
Jyotheesh Gaddam
Keyword(s):  
Internet Of Things ◽  
Outlier Detection ◽  
Physical World ◽  
Wireless Sensor ◽  
Smart Sensors ◽  
The Internet ◽  
Sensor Faults ◽  
Detection Model ◽  
Near Future ◽  
The Internet Of Things

The Internet of Things (IoT) has gained significant recognition to become a novel sensing paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used in many diverse applications that are part of our life and is growing to become the global digital nervous systems. It is quite evident that in the near future, hundreds of millions of individuals and businesses with billions will have smart-sensors and advanced communication technology, and these things will expand the boundaries of current systems. This will result in a potential change in the way we work, learn, innovate, live and entertain. The heterogeneous smart sensors within the Internet of Things are indispensable parts, which capture the raw data from the physical world by being the first port of contact. Often the sensors within the IoT are deployed or installed in harsh environments. This inevitably means that the sensors are prone to failure, malfunction, rapid attrition, malicious attacks, theft and tampering. All of these conditions cause the sensors within the IoT to produce unusual and erroneous readings, often known as outliers. Much of the current research has been done in developing the sensor outlier and fault detection models exclusively for the Wireless Sensor Networks (WSN), and adequate research has not been done so far in the context of the IoT. Wireless sensor network’s operational framework differ greatly when compared to IoT’s operational framework, using some of the existing models developed for WSN cannot be used on IoT’s for detecting outliers and faults. Sensor faults and outlier detection is very crucial in the IoT to detect the high probability of erroneous reading or data corruption, thereby ensuring the quality of the data collected by sensors. The data collected by sensors are initially pre-processed to be transformed into information and when Artificially Intelligent (AI), Machine Learning (ML) models are further used by the IoT, the information is further processed into applications and processes. Any faulty, erroneous, corrupted sensor readings corrupt the trained models, which thereby produces abnormal processes or outliers that are significantly distinct from the normal behavioural processes of a system. In this paper, we present a comprehensive review of the detecting sensor faults, anomalies, outliers in the Internet of Things and the challenges. A comprehensive guideline to select an adequate outlier detection model for the sensors in the IoT context for various applications is discussed.

Sustainable Security for the Internet of Things Using Artificial Intelligence Architectures

2021 ◽  
Vol 21 (3) ◽  
pp. 1-22
Author(s):  
Celestine Iwendi ◽  
Saif Ur Rehman ◽  
Abdul Rehman Javed ◽  
Suleman Khan ◽  
Gautam Srivastava
Keyword(s):  
Internet Of Things ◽  
Detection System ◽  
Experimental Testing ◽  
Cyber Attacks ◽  
Internet Technology ◽  
The Internet ◽  
Business Operations ◽  
Private Data ◽  
The Internet Of Things ◽  
Better Than

In this digital age, human dependency on technology in various fields has been increasing tremendously. Torrential amounts of different electronic products are being manufactured daily for everyday use. With this advancement in the world of Internet technology, cybersecurity of software and hardware systems are now prerequisites for major business’ operations. Every technology on the market has multiple vulnerabilities that are exploited by hackers and cyber-criminals daily to manipulate data sometimes for malicious purposes. In any system, the Intrusion Detection System (IDS) is a fundamental component for ensuring the security of devices from digital attacks. Recognition of new developing digital threats is getting harder for existing IDS. Furthermore, advanced frameworks are required for IDS to function both efficiently and effectively. The commonly observed cyber-attacks in the business domain include minor attacks used for stealing private data. This article presents a deep learning methodology for detecting cyber-attacks on the Internet of Things using a Long Short Term Networks classifier. Our extensive experimental testing show an Accuracy of 99.09%, F1-score of 99.46%, and Recall of 99.51%, respectively. A detailed metric representing our results in tabular form was used to compare how our model was better than other state-of-the-art models in detecting cyber-attacks with proficiency.

scholarly journals Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review

2020 ◽  
Vol 12 (10) ◽  
pp. 4035 ◽  
Author(s):  
Violeta Sima ◽  
Ileana Georgiana Gheorghe ◽  
Jonel Subić ◽  
Dumitru Nancu
Keyword(s):  
Artificial Intelligence ◽  
Human Capital ◽  
Consumer Behavior ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Internet Technology ◽  
The Internet ◽  
Human Capital Development ◽  
Capital Development ◽  
The Internet Of Things

Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.

scholarly journals Unified Traceability Information System of Logistics Pallet Based on the Internet of Things

2013 ◽  
Vol 765-767 ◽  
pp. 1181-1185 ◽  
Author(s):  
Xing Zhi Lin
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Internet Technology ◽  
The Internet ◽  
Coupling Mechanism ◽  
Logistics Information System ◽  
Traceability System ◽  
Logistics Information ◽  
Intelligent Logistics ◽  
The Internet Of Things

The paper focuses on the intelligent logistics pallet, networking, traceability information technology and unified logistics information system, and puts forward unified traceability information system of intelligent logistics pallet based on the Internet of things (IOT), displaying innovative system realization method and technical system. IOT intelligent logistic pallet traceability system is an integrated fusion application of RFID, GIS, GPS, computer telecommunication integration together with Internet technology; in system design and implementation, TOT and RFID coupling mechanism, CTI and API interface programming are adopted for construction of three intelligent system service architecture of logistics pallet traceability system including application, business and physics; in the logistics pallet regular operation, reading and writing RFID equipments, labels and telecommunications network, Internet, and other unified information communication mode are fused into the intelligent logistics information system, so as to realize the intelligent logistics pallet identity identification and traceability function. The system test output results indicate that, intelligent logistics pallet unified information system is equipped with intelligent recognition, management and tracing function and business process reengineering capacity including production promotion, distribution, transport logistics and allocation.

scholarly journals Systematic Review of Internet of Nano Things (IoNT) Technology: Taxonomy, Architecture, Open Challenges, Motivation and Recommendations

2021 ◽  
pp. 7-19
Author(s):  
Hayder A. Naser ◽  
Alaa Thaer Lateef ◽  
Falah A. Bida ◽  
Mohammed Zorah
Keyword(s):  
Systematic Review ◽  
Internet Of Things ◽  
Communication Networks ◽  
The Internet ◽  
Medical Applications ◽  
Iot Applications ◽  
Nano Scale ◽  
Near Future ◽  
The Internet Of Things

Internet of nano things (IoNT) is a new and modern part of the internet of things (IoT). Applications that operate in the field of nano scale show a new advantage in communication networks. IoNT opened the door to many applications in various fields with new features derived from the advantages of nanotechnology. In this work, a description of the IoNT during 2015-2021 was achieved, including taxonomy, architecture, motives, applications and challenges, in addition to recommendations. The architecture of the IoNT and the most important technologies used in Nano communication networks have been identified, with an indication of the advantages of each. This study, we hope, will make a contribution to this field of science, thus contributing to providing assistance to researchers in this emerging field and covering the challenges they face in this way. That would permit communication between nano-devices to be conventional, making these calibrations to be implemented in various IoNT applications. Until the IoNT system is designed without any problems in the near future, which if achieved, will provide great services, especially in medical applications and other applications.

scholarly journals 25 Years of Bluetooth Technology

2019 ◽  
Vol 11 (9) ◽  
pp. 194 ◽  
Author(s):  
Sherali Zeadally ◽  
Farhan Siddiqui ◽  
Zubair Baig
Keyword(s):  
Internet Of Things ◽  
Short Range ◽  
Smart Phones ◽  
Personal Computers ◽  
The Internet ◽  
Research Results ◽  
History Of ◽  
Almost All ◽  
The Internet Of Things ◽  
Insight Into

Bluetooth technology started off as a wireless, short-range cable replacement technology but it has undergone significant developments over the last two decades. Bluetooth radios are currently embedded in almost all computing devices including personal computers, smart phones, smart watches, and even micro-controllers. For many of us, Bluetooth is an essential technology that we use every day. We provide an insight into the history of Bluetooth and its significant design developments over the last 25 years. We also discuss related issues (including security) and Bluetooth as a driving technology for the Internet of Things (IoT). Finally, we also present recent research results obtained with Bluetooth technology in various application areas.

Architecture and the Key Technologies of Medical Equipment Management System Based on the Internet of Things

2015 ◽  
Vol 733 ◽  
pp. 804-810
Author(s):  
Yong Wei Mi ◽  
Rui Chang Wu ◽  
Yi Yong Li ◽  
Kai Zhang ◽  
Wei Wang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
System Architecture ◽  
Management System ◽  
Medical Equipment ◽  
Internet Technology ◽  
The Internet ◽  
Equipment Management ◽  
Management Platform ◽  
Key Technologies ◽  
The Internet Of Things

With the development of the Internet of Things (IOT), its application in the field of health care has become more and more widely. Based on the introduction of the IOT system architecture, key technology and existing problems and the three layer general framework, combined with the actual characteristics of the hospital, an IOT-based medical equipment management system architecture, and application of Internet technology, sensing technology, communication technology and software information technology, analyzes the related key technologies of building in, including intelligent gateway, middleware, information management platform etc. in order to achieve intensive, digital and informatized medical equipment management mode.

scholarly journals Ethics and Law in the Internet of Things World

Smart Cities ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 98-120 ◽  
Author(s):  
Spyros Tzafestas
Keyword(s):  
Internet Of Things ◽  
Social Order ◽  
Codes Of Ethics ◽  
The Internet ◽  
The European Union ◽  
Law And Ethics ◽  
Peace And Justice ◽  
History Of ◽  
The Internet Of Things

The aim of the law is to maintain social order, peace, and justice in society, whereas the aim of ethics is to provide codes of ethics and conduct that help people to decide what is wrong, and how to act and behave. Laws provide a minimum set of standards for obtaining good human behavior. Ethics often provides standards that exceed the legal minimum. Therefore, for the best behavior, both law and ethics should be respected. The Internet of Things (IoT) involves a large number of objects and humans that are connected via the Internet ‘anytime’ and ‘anyplace’ to provide homogeneous communication and contextual services. Thus, it creates a new social, economic, political, and ethical landscape that needs new enhanced legal and ethical measures for privacy protection, data security, ownership protection, trust improvement, and the development of proper standards. This survey and opinion article is concerned with the ethics and legislation of the IoT and provides an overview of the following: definition and history of the IoT; general ethical principles and theories that are available for application in the IoT; the role of governments in the IoT; regulations in the European Union (EU) and United States for the IoT’ IoT characteristics that have the potential to create ethical problems; IoT ethical questions and principles; IoT security, privacy, and trust aspects; and the ethical culture of IoT-related companies.

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