As an up-and-coming branch of the internet of things, internet of vehicles (IoV) is imagined to fill in as a fundamental information detecting and processing platform for astute transportation frameworks. Today, vehicles are progressively being associated with the internet of things which empower them to give pervasive access to data to drivers and travelers while moving. Be that as it may, as the quantity of associated vehicles continues expanding, new prerequisites, (for example, consistent, secure, vigorous, versatile data trade among vehicles, people, and side of the road frameworks) of vehicular systems are developing. Right now, the unique idea of vehicular specially appointed systems is being changed into another idea called the internet of vehicles (IoV). We talk about the issues faced in implementing a secure IoV architecture. We examine the various challenges in implementing security and privacy in IoV by reviewing past papers along with pointing out research gaps and possible future work and putting forth our on inferences relating to each paper.
Purpose This paper aims to design a secure and seamless system that ensures quick sharing of health-care data to improve the privacy of sensitive health-care data, the efficiency of health-care infrastructure, effective treatment given to patients and encourage the development of new health-care technologies by researchers. These objectives are achieved through the proposed system, a “privacy-aware data tagging system using role-based access control for health-care data.” Design/methodology/approach Health-care data must be stored and shared in such a manner that the privacy of the patient is maintained. The method proposed, uses data tags to classify health-care data into various color codes which signify the sensitivity of data. It makes use of the ARX tool to anonymize raw health-care data and uses role-based access control as a means of ensuring only authenticated persons can access the data. Findings The system integrates the tagging and anonymizing of health-care data coupled with robust access control policies into one architecture. The paper discusses the proposed architecture, describes the algorithm used to tag health-care data, analyzes the metrics of the anonymized data against various attacks and devises a mathematical model for role-based access control. Originality/value The paper integrates three disparate topics – data tagging, anonymization and role-based access policies into one seamless architecture. Codifying health-care data into different tags based on International Classification of Diseases 10th Revision (ICD-10) codes and applying varying levels of anonymization for each data tag along with role-based access policies is unique to the system and also ensures the usability of data for research.
Objectives/Scope Cloud based end to end digital project management platform with digital control tower, as fundamental technologies of the fourth industrial revolution, have enormous potential to improve real time visibility, productivity, collaboration, data sharing, efficiency, predictability, decision power and sustainability in the construction industry. Throughout the lifecycle of capital / mega projects, the engineering, construction, operations, and maintenance stakeholders face numerous issues, including the lack of trust and visibility, inefficiencies, and the fragmentation of the information value chain into fragile data silos. Digital control tower aimed to narrow down the time, budget and quality & safety challenges of a capital project by having overall / end to end control of project from initiation phase to handover and operations phase of the project. Methods, Procedures, Process Digital control tower provides systematic, 360-degree view of project details along with real-time analytics spanning from design engineering, pre-construction planning, onsite execution, action tracker, construction services, equipment's, quality, budget and safety (leading and lagging indicators). Stakeholders involved throughout the project lifecycle (i.e.: owner, engineering team, pre-construction and planning team, construction management and site team), enables instantaneous connectivity from the top floor to the shop floor for seamless communication by reducing waste time. Digital control tower also enables bird's eye view for real time project performance monitoring and progress, it also enables week wise look ahead task for better monitoring and control, also narrows down the issues or concerns to an activity, area or person. The control tower can create the customizable necessary discipline/function dashboards available to all relevant roles and stakeholders without limitation. Results, Observations, Conclusions Digital Control Tower leverages Artificial intelligence, Machine learning and Blockchain technologies to seamlessly capture, maintain and process fragmented data set into intelligent predictive analytics which helps the project stakeholders to take right decision on right time, so as to avoid any kind of delays in project. Novel/Additive Information Digital Control Tower is not a standard dashboard, it's an integrated digital ecosystem where stakeholders can drive projects with real time data for decision making.
Unlike other natural hazards, drought is a slow-onset, creeping natural hazard. Its effects often accumulate slowly over a considerable period and may linger for years after the termination of the drought events. Absence of precise and universally accepted definition of drought adds to the confusion while declaring drought and its degree of severity. Adverse impacts of drought are non-structural and typically spread over a larger geographical region than are damages resulting from other natural hazards. It is critical that the stakeholders in the concerned geographic region understand their exposure to the drought hazard. Drought risks are the joint effects of both the region's exposure to the drought event and the vulnerability of its society to a drought at that point. However, there are various conventional ways to mitigate these adverse impacts, but modern technological advancement have shown a path to harness artificial intelligence methods towards facing drought challenges more efficiently with accurate prediction of its location-specific occurrence and duration estimation.
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