An overview of safety and security analysis frameworks for the Internet of Things

YesThe rapid progress of the Internet of Things (IoT) has continued to offer humanity numerous benefits, including many security and safety-critical applications. However, unlocking the full potential of IoT applications, especially in high-consequence domains, requires the assurance that IoT devices will not constitute risk hazards to the users or the environment. To design safe, secure, and reliable IoT systems, numerous frameworks have been proposed to analyse the safety and security, among other properties. This paper reviews some of the prominent classical and model-based system engineering (MBSE) approaches for IoT systems’ safety and security analysis. The review established that most analysis frameworks are based on classical manual approaches, which independently evaluate the two properties. The manual frameworks tend to inherit the natural limitations of informal system modelling, such as human error, a cumbersome processes, time consumption, and a lack of support for reusability. Model-based approaches have been incorporated into the safety and security analysis process to simplify the analysis process and improve the system design’s efficiency and manageability. Conversely, the existing MBSE safety and security analysis approaches in the IoT environment are still in their infancy. The limited number of proposed MBSE approaches have only considered limited and simple scenarios, which are yet to adequately evaluate the complex interactions between the two properties in the IoT domain. The findings of this survey are that the existing methods have not adequately addressed the analysis of safety/security interdependencies, detailed cyber security quantification analysis, and the unified treatment of safety and security properties. The existing classical and MBSE frameworks’ limitations obviously create gaps for a meaningful assessment of IoT dependability. To address some of the gaps, we proposed a possible research direction for developing a novel MBSE approach for the IoT domain’s safety and security coanalysis framework

Anemia Of Chronic Disease And Kidney Failure

Anemia is a disease that caused due to inflammation, autoimmune disease, or chronic disease as cancer, kidney failure, heart failure, diabetes, but the main reason of anemia is iron deficiency. Breathlessness, weakness, and exhaustion are all possible effects of anemia. Anemia comes in a variety of types. Everyone has a unique reason. Anemia may be chronic or transient. It could be minor or really serious. Anemia may indicate a more serious medical condition.  In this research we will explain the anemia due to chronic disease especially kidney failure. Anemia occurs when decreasing the number of red blood cells that carry oxygen to the body. According to world health organization (WHO), the person has anemia when hemoglobin (which is present in red blood cells, transports oxygen from the lungs to every other organ in the body), (Hb) levels <12.0 g/dl in women and <13.0 g/dl in men. We can treat anemia by iron supplement, medications, blood transfusion, vitB12, blood and bone transplant but it occur in hospital and by healthy diet. If anemia remained untreated it will be a risk of irregular heartbeat, heart failure, infection, and in children it may cause developmental delay. We can diagnosis anemia by blood tests which are used by medical practitioners to look for indications of inflammation-related anemia, other anemias, or other health issues. You will give blood to a medical professional who will then submit the sample to a lab for analysis. The National institutes of health (NIH) approved that we can examine a variety of components and characteristics of your blood, such as how many red blood cells ,the dimensions of red blood cells ,how much hemoglobin is present in your blood and red blood cells ,the quantity of reticulocytes, or growing red blood cells, in your blood. Blood tests are another tool that a medical expert may use to measure how much iron is stored in blood, transferrin, and ferritin. If the results of a blood test indicate that you have anemia low blood iron levels will appear, determining the amount of iron in low and normal range. Adults who suffer from severe anemia may become vulnerable to heart or lung issues. For instance, you might experience heart failure, in which the heart is unable to pump enough blood throughout your body at the proper pressure or tachycardia, which is an unusually rapid heartbeat. Anemia  can also come from obesity unlike exception of some people so we should follow health diet has iron supplement such as meat, sugar beet

Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey

Background: SARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice. Methods: This is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure. Results: Nine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout. There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management. Conclusions: There was a significant burnout among trainees. Almost all aspects of clinical and research activities were affected with a significant reduction in the volume of research, outpatient clinic visits, surgical procedures, on-call hours, and emergency cases hindering the training. Trial registration: The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020

The information environment of rural Gbagyi women in Niger State, Nigeria

The study investigated information environment of rural Gbagyi women in Niger state, Nigeria. The general objective of the study was to access the infromation needs, seeking habits and sources of infromation of rural Gbagyi women in Niger state. Descriptive survey was used for the study. The population of the study comprised of Gbagyi women of Niger east senatorial zone, 250 rural women were sampled from various communities using simple random sampling technique. Data was collected by means of strutured questionnaires and analyzed using frequency count and simple percentage. Findings show that majority of the respondents need information to improve their agricultural activities, and on health issues, child care, religious and political activities. Further revelations show that a good number of the respondents relied on their friends, neighbours, family and radio as the most important sources of infromation. While the major constraints to accessing information are unavailability of information source, obsolete infromation and lack of information center. The study therefore recommend the establishment of community and women infromation center and other community outreach programmes to provide packaged and timely information to the rural women

Developing Dependable IoT Systems: Safety Perspective

YesThe rapid proliferation of internet-connected devices in public and private spaces offers humanity numerous conveniences, including many safety benefits. However, unlocking the full potential of the Internet of Things (IoT) would require the assurance that IoT devices and applications do not pose any safety hazards to the stakeholders. While numerous efforts have been made to address security-related challenges in the IoT environment, safety issues have yet to receive similar attention. The safety attribute of IoT systems has been one of the system’s vital non-functional properties and a remarkable attribute of its dependability. IoT systems are susceptible to safety breaches due to a variety of factors, such as hardware failures, misconfigurations, conflicting interactions of devices, human error, and deliberate attacks. Maintaining safety requirements is challenging due to the complexity, autonomy, and heterogeneity of the IoT environment. This article explores safety challenges across the IoT architecture and some application domains and highlights the importance of safety attributes, requirements, and mechanisms in IoT design. By analysing these issues, we can protect people from hazards that could negatively impact their health, safety, and the environment

Adaptation of Model Transformation for Safety Analysis of IoT-based Applications

YesThe Internet of Things (IoT) paradigm has continued to provide valuable services across various domains. However, guaranteeing the safety assurance of the IoT system is increasingly becoming a concern. While the growing complexity of IoT design has brought additional safety requirements, developing safe systems remains a critical design objective. In earlier studies, a limited number of approaches have been proposed to evaluate the safety requirements of IoT systems through the generation of static safety artefacts based on manual processes. This paper proposes a model-based approach to the safety analysis of the IoT system. The proposed framework explores the expressiveness of UML/SysML graphical modelling languages to develop a dynamic fault tree (DFT) as an analysis artefact of the IoT system. The framework was validated using a hypothetical IoT-enabled Smart Fire Detection and Prevention System (SFDS). The novel framework can capture dynamic failure behaviour, often ignored in most model-based approaches. This effort complements the inherent limitations of existing manual static failure analysis of the IoT systems and, consequently, facilitates a viable safety analysis that increases public assurance in the IoT systems.The full text of this accepted manuscript will be available 12 months after publicatio

Reliability Assessment of IoT-enabled Systems using Fault Trees and Bayesian Networks

NoThe Internet of Things (IoT) has brought significant advancements in various domains, providing innovative and efficient solutions. However, ensuring the safe design and operation of IoT devices is crucial, as the consequences of component failure can range from system downtime to dangerous operating states. Several methods have been proposed to evaluate the failure behaviours of IoT-based systems, including Fault Tree Analysis (FTA), a methodology adopted from other safetycritical domains. This study integrated FTA and Bayesian Network (BN) models to assess IoT system reliability based on components’ reliability data and other statistical information. The integrated model achieved efficient predictive failure analysis, considering combinations of 12 basic events to quantify the overall system’s reliability. The model also enables criticality analysis, ranking basic events based on their contributions to system failure and providing a guide for design modification in order to enhance IoT safety. By comparing failure data in FTA and criticality indices obtained using the BN model, the proposed integration offers a probabilistic estimation of IoT system failure and a viable safety guide for designing IoT systems

Dependability of the Internet of Things: current status and challenges

YesThe advances in the Internet of Things (IoT) has substantially contributed to the automation of modern societies by making physical things around us more interconnected and remotely controllable over the internet. This technological progress has inevitably created an intelligent society where various mechatronic systems are becoming increasingly efficient, innovative, and convenient. Undoubtedly, the IoT paradigm will continue to impact human life by providing efficient control of the environment with minimum human intervention. However, despite the ubiquity of IoT devices in modern society, the dependability of IoT applications remains a crucial challenge. Accordingly, this paper systematically reviews the current status and challenges of IoT dependability frameworks. Based on the review, existing IoT dependability frameworks are mainly based on informal reliability models. These informal reliability models are unable to effectively evaluate the unified treatment safety faults and cyber-security threats of IoT systems. Additionally, the existing frameworks are also unable to deal with the conflicting interaction between co-located IoT devices and the dynamic features of self-adaptive, reconfigurable, and other autonomous IoT systems. To this end, this paper suggested the design of a novel model-based dependability framework for quantifying safety faults and cyber-security threats as well as interdependencies between safety and cyber-security in IoT ecosystems. Additionally, robust approaches dealing with conflicting interactions between co-located IoT systems and the dynamic behaviours of IoT systems in reconfigurable and other autonomous systems are required.The full-text of this article will be released for public view at the end of the publisher embargo on 30 Dec 2023

Failure analysis of IoT-based smart agriculture system: towards sustainable food security

NoInternet of Things (IoT)-based smart agriculture systems are increasingly being used to improve agricultural yield. IoT devices used for agricultural monitoring are often deployed in outdoor environments in remote areas. Due to the exposure to harsh environments and the nature of deployment, sensors and other devices are susceptible to an increased rate of failure, which can take a system to unsafe and dangerous states. Failure of a smart agriculture system can cause significant harm to nature and people and reduce agricultural production. To address the concerns associated with the failure of the system, it is necessary to understand how the failures of the components of a system can contribute to causing the overall system failure. This paper adopts Fault Tree Analysis, a widely used framework for failure behaviour analysis in other safety-critical domains, to demonstrate the qualitative failure analysis of smart irrigation systems based on the components’ failure