Benefits and Challenges of Internet of Things for Telecommunication Networks

Recently, Internet of things (IoTs) has become the main issue in designing monitoring systems such as smart environments, smart cars, and smart wearable devices. IoTs has transformed the life of people to be more adaptable and intelligent. For example, in a healthcare monitoring system, using smart devices will improve the performance of doctors, nurses, patients, and the healthcare industry. The IoTs revolution is known as the fourth industrial revolution and would change the way humans interact with machines and lead the way to a high-technology machine-to-machine interaction. In fact, almost every device around us would be connected to Internet, collecting and exchanging data with other devices on the cloud. In this chapter, we will introduce the benefits of IoTs on telecommunication networks and its challenges to give a complete overview for researchers to know how to improve our life and society by building smart IoTs systems

A Cloud Based Approach for Data Security in IoT

The number of connected devices grows rapidly each year as more and more enterprises realize its potentials. Despite the benefits, data privacy and security in Internet of Things (IoT) remain a major issue. IoT devices generates massive data but are limited in resources. The proliferation of IoT devices and the increasing network traffic have heightened the attack surface. Moreover, the susceptibility of transmitted data to eavesdropping and man-in-the-middle attacks is a great concern to users and manufacturers. It is not all IoT devices that utilize encryption. IoT traffic from devices that transmit data in plain text will expose sensitive information if intercepted by an adversary. Such a vulnerability can be exploited to facilitate identity theft and implement other devasting cyber-attacks. This paper presents an implementation of a cloud-based security approach for transmitted data in IoT. The design is based on Lambda architecture using Amazon Web Services. The proposed approach effectively processes and analyzes real-time sensor data as well as historical data from a master database on the cloud. It also ensures the security of user’s information. Keywords: Internet of Things, Cloud computing, Data security, Lambda architecture DOI: 10.7176/CEIS/11-2-03 Publication date: February 29th 202

Course Manual - National Workshop on Effective Management of E-Resources in Research Libraries

The National Workshop on “Effective Management of EResources in Research Libraries" is the first of its kind organised by the Library & Documentation Centre of ICAR-Central Marine Fisheries Research Institute, Kochi. Periodic trainings on newer technologies developed in the field of Library & Information Sciences help library professionals to enhance their professional competencies that will contribute largely to the output of the parent organization. Digital repositories are the need of the hour where the Institute can showcase the research findings. ICAR-CMFRI is a pioneer in developing Institute repository and the open access repository of the Institute "eprints@cmfri" now stands 1st among ICAR Institute repositories, 3rd among Indian repositories and 343rd among the world repositories. Topics of current relevance towards development and modernisation of research libraries are included in the Workshop which is expected to help the participants to understand the possibilities and ways of supporting the research activities of the parent Institution more effectively

New-normal market entry mode for pharmaceuticals: an Internet of Things (IoT) market entry framework stemming from COVID-19

Purpose: To determine new-normal uncertainty considerations stemming from the covid-19 pandemic to consider within transaction-cost analysis for pharmaceuticals. To propose new-normal market entry strategies to address the uncertainty as a result of covid-19’s implications and provide for lack of knowledge and information in an uncertain business environment by way of Internet of Things (IoT) ecosystem for pharmaceutical market entry. Methodology: In this paper, we focus on the uncertainty facet within transaction-cost analysis consideration and utilise a descriptive three-case study approach taking in Johnson and Johnson (J&J), GlaxoSmithKline (GSK) and Novartis to present an ADO (Antecedent-Decisions-Outcomes) understanding of their usual market entry approach, the approach undertaken during the pandemic and the outcomes thereafter facilitating new-normal uncertainty considerations to factor in. Further with this insight, we develop a conceptual framework addressing the transaction-cost analysis implications of uncertainties toward lack of knowledge and information for new-normal market entry approach and operating strategy for pharmaceuticals applicable due to IoT (Internet of Things). Findings: Uncertainty (external and internal) is different now in the new-normal business environment for pharmaceuticals and boils down to acute shortage of knowledge and information impact to make an appropriately informed decision. Therefore, considering the changed factors to consider, pharmaceuticals need to be able to undertake market entry with vaccines and medicines by way of IoT thereby enabling, the filling of the gap via real-time data access and sharing including enhancing predictive analysis for sustenance. Originality: It is the first study to our knowledge that throws light on transaction-cost analysis theory’s uncertainty facet for pharmaceuticals. It is also the first study that provides new-normal market entry strategy for pharmaceutical companies built on interoperability of real-time IoT

The Role of the Internet of Things in Health Care: A Systematic and Comprehensive Study

The Internet of Things (IoT) is becoming an emerging trend and has significant potential to replace other technologies, where researchers consider it as the future of the internet. It has given tremendous support and become the building blocks in the development of important cyber-physical systems and it is being severed in a variety of application domains, including healthcare. A methodological evolution of the Internet of Things, enabled it to extend to the physical world beyond the electronic world by connecting miscellaneous devices through the internet, thus making everything is connected. In recent years it has gained higher attention for its potential to alleviate the strain on the healthcare sector caused by the rising and aging population along with the increase in chronic diseases and global pandemics. This paper surveys about various usages of IoT healthcare technologies and reviews the state of the art services and applications, recent trends in IoT based healthcare solutions, and various challenges posed including security and privacy issues, which researchers, service providers and end users need to pay higher attention. Further, this paper discusses how innovative IoT enabled technologies like cloud computing, fog computing, blockchain, and big data can be used to leverage modern healthcare facilities and mitigate the burden on healthcare resources

Current Status and Development Trend of Aquaculture: Prospects and Future Potentials

In recent years world aquaculture production has been increased with innovative and technological developments within fisheries sector and scaled up in world total fisheries production. This increasing aquaculture production depends on innovative production systems and technologies, biotechnological developments. The advancements in these cutting-edge technologies have been focused on promoting sustainable aquaculture production, mitigating the risk of disease outbreaks, and contributing to eco-friendly environmental initiatives. This review paper highlights the cutting-edge technologies that have emerged in the field of aquaculture in recent years, up until the present time, with a focus on advancements in fish nutrition. The advancements in aquaculture technology have been instrumental in promoting the achievement of sustainable development goals. As the aquaculture industry continues to evolve, it is expected that there will be further advancements in technology, sustainability practices, and innovative approaches to meet the increasing demand for seafood while minimizing environmental impact. Overall, the future of aquaculture is likely to be characterized by a combination of technological innovation, sustainable practices, and increased focus on environmental and social responsibility. In the arena of aquaculture, this review paper has the potential to nourish the minds of aquaculturists and aquafarmers with a bountiful feast of knowledge. It unveils the latest technologies and developments in the realm of aquaculture, serving as a nutritious resource that can enhance the operation of cultures and promote a fruitful increase in production in the not-so-distant future

A Novel IoT-based Framework for Urine Infection Detection and Prediction using Ensemble Bagging Decision Tree Classifier

One of the most common conditions treated in adult primary care medicine is Urinary Tract Infection (UTI), which accounts for a sizeable portion of antibiotic prescriptions. A high degree of diagnostic accuracy is necessary because this issue is so prevalent and important in everyday clinical practice. Particularly in light of the rising prevalence of antibiotic resistance, excessive antibiotic prescriptions should be avoided. To examine the machine learning approach and Internet of Things (IoT) for urinary tract infections, this research proposes an Ensemble Bagging Decision Tree Classifier (EBDTC). In our study, to learn more about UTI, we conducted a study in which we collected the physiological data of 399 patients and preprocessed them using the min-max scalar normalization. Feature extraction using Principle Component Analysis (PCA) and classification using Ensemble Bagging Decision Tree Classifier (EBDTC). The performance outcomes of accuracy (96.25%), precision(96.22%), recall (98.07%), and f-1 measure(97.17%) demonstrate the proposed strategy's significantly improved performance in comparison to other baseline existing techniques

Bio-inspired framework for security in IoT devices

One of the many things COVID-19 has taught humanity is that the internet is not just a commodity but a vital service integral to the modern world. As we become ever more connected, there is a growing need to secure data and communication streams. If data is valued, then it should be protected. Unfortunately, some of the least secure devices in modern electronic systems are the Internet of Things (IoT) devices- partly due to their low processing power and always-on functionality. Polymorphism is the notion of changing one’s form. In biological organisms, polymorphic (mutating or changing) viruses trick the natural security mechanisms by changing their unique signatures (e.g. DNA or proteins). In computing, antivirus software systems are adapted to detect and remove constantly changing software viruses. However, polymorphism at the firmware level and over the wireless medium is neither well understood nor explored for IoT devices. This paper proposes a novel and bio-inspired framework for securing distributed IoT devices often assumed to be working at the intersection of engineering, computing, and cybersecurity domains. The proposed framework attempts to exploit the notion of polymorphism in resource-constrained (e.g. memory, power, band-width) IoT devices. The framework’s core aim is to detect, reject, and block foreign agents individually or collaboratively and in real-time within a client and server model by changing the access credentials and encryption keys as soon as an unauthorised client is detected. The framework proposed for the bio-inspired framework for security in IoT devices is designed to remain operationally compartmentalised, functionally integrated, and objectively unified