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.

Privacy is not something that I'm merely entitled to, it's an absolute prerequisite."-Marlon Brando Privacy in Healthcare is the practice of maintaining the security and confidentiality of patient records. With the advent of new technologies in healthcare such as EHRs, pharmacogenomics and genome sequencing, etc. the focus on securing the patient's data and identity hasn't been given as much importance. The issues in healthcare privacy stem from a lack of infrastructure, complacency, budget constraints, and politics. The paper explores the issues which plague the healthcare industry in its fight to secure patient data from potential exploitation. Hackers can use this easily attainable healthcare data for profit and identity stealing which is a major concern. In this paper, we have reviewed multiple papers and specified their description along with their inferences, future research, and research gaps. The paper has a strong base of 36 research papers and review papers which are mentioned and cited. Finally, this paper presents solutions on how to mitigate the various issues present to make healthcare data secure and safe from exploitation. The paper limits the study of proposing privacy models in India as a country.

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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.