Wearable health tech provides doctors with the ability to remotely supervise their patients' wellness. It also makes it much easier to authorize someone else to take appropriate actions to ensure the person's wellness than ever before. Information Technology may soon change the way medicine is practiced, improving the performance, while reducing the price of healthcare. We analyzed the secrecy demands of wearable devices, including Smartphone, smart watch and their computing techniques, that can soon change the way healthcare is provided. However, before this is adopted in practice, all devices must be equipped with sufficient privacy capabilities related to healthcare service. In this paper, we formulated a new improved conceptual framework for wearable healthcare systems. This framework consists of ten principles and nine checklists, capable of providing complete privacy protection package to wearable device owners. We constructed this framework based on the analysis of existing mobile technology, the results of which are combined with the existing security standards. The approach also incorporates the market share percentage level of every app and its respective OS. This framework is evaluated based on the stringent CIA and HIPAA principles for information security. This evaluation is followed by testing the capability to revoke rights of subjects to access objects and ability to determine the set of available permissions for a particular subject for all models Finally, as the last step, we examine the complexity of the required initial setup.

Smart homes and healthcare have increasingly grown more popular in the recent years. Due to the amount of data, it records the need for a more secure method is needed to ensure security and privacy. Consequently, these methods can also ensure security and privacy in Smart health. The intended outcome of this review paper is to analyze the problems which people might be facing related to security issues in their smart homes and initiate a discussion on how healthcare devices which come in a package by future homes are vulnerable to cyber attacks which will result into data breaches. By reviewing previous literature, this paper proposes blockchain as a method to improve security and privacy in smart homes and smart healthcare. Using this platform, we debated about the uprising blockchain technology which may contribute to these elements and how its components can assist healthcare to grow with complete security in mind. This research discusses how blockchain based solutions may give rise to future homes and healthcare based on an ideal framework.

This chapter emphasized the pivotal role of GIS in environmental decision-making by exploring spatial data collection methods, including GPS, remote sensing, LiDAR, and drones, highlighting their contributions to understanding environmental attributes. Spatial data integration and management within GIS are discussed as an efficient approach to data storage, retrieval, analysis, and modeling that facilitates evidence-based decision-making. Public engagement and communication using GIS can foster stakeholder involvement. GIS's relevance in shaping environmental policies and regulations is emphasized, covering habitat preservation, water resource management, air quality regulation, and more. It also discussed the concept of SDI and its role in addressing environmental challenges. The challenges and future directions of GIS in environmental planning and management are addressed, covering data quality, privacy, capacity building, and public engagement. Future prospects include AI, real-time data integration, cloud-based GIS, 3D and virtual reality, and crowdsourcing are also endorsed.

The popularity of mobile devices in the market is impressive, but this influx of different products has made it difficult for users to secure their infrastructures from potential data breaches. As the number of exposures and attacks increase, there has been a corresponding rise in security solutions offered by researchers. This article reviews the literature to prevent the cybercrime affecting portable devices especially smartphones running Android OS. Extant researches are analyzed and opportunities for future research are identified. Four research questions have been developed and out of 493 articles retrieved, 33 articles have been selected to be analyzed. From the analysis, we have found that Data leakage resulting from device loss or theft, unintentional disclosure of data and phishing attacks are most common between attackers.With no doubt, security investigators have stressed the grandness of protecting classified personal data residing in Android portable devices. They have suggested to use the permission-based security model and behavior-based detection method for protecting classified information. In result we found that Android OS can handle and apply the integrated protection model but still there are opportunities for us to improve the security of personal data

The Smartphone industry has expanded significantly over the last few years. According to the available data, each year, a marked increase in the number of devices in use is observed. Most consumers opt for Smartphones due to the extensive number of software applications that can be downloaded on their devices, thus increasing their functionality. However, this growing trend of application installation brings an issue of user protection, as most applications seek permission to access data on a user’s device. The risks this poses to sensitive data is real to both corporate and individual users. While Android has grown in popularity, this trend has not been followed by the efforts to increase the security of its users. This is a well-known set of problems, and prior solutions have approached it from the ground up; that is, they have focused on implementing reasonable security policies within the Android’s open-source kernel. While these solutions have achieved the goals of improving Android with such security policies, they are severely hampered by the way in which they have implemented them. In this work, a framework referred to as CenterYou is proposed to overcome these issues. It applies a pseudo data technique and a cloud-based decision-making system to scan and protect Smartphone devices from unnecessarily requested permissions by installed applications and identifies potential privacy leakages. The current paper demonstrated all aspects of the CenterYou application technical design. The work presented here provides a significant contribution to the field, as the technique based on pseudo data is used in the actual permissions administration of Android applications. Moreover, this system is user and cloud-driven, rather than being governed by over-privileged applications.