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The world has been on a constant evolution with rapid advancements in the field of technology and social media platforms which encourages mundane life to interact and communicate with each other with ease. One point which needs to be highlighted here is that amidst this exemplary transformation, people have put up their personal and private details at stake. Privacy and protection of data are some of the major disciplines of individuals all across the world. But these individual rights and data privacy have been facing challenges, attacks and data breaches leading to the loss of abundance of personal details. Such kinds of data breaches lead to tremendous drawbacks and losses for organizations or individuals and based on the range of personal data, the information lost can be categorised as relatively benign or extremely personal details. There's a thin line which differentiates data privacy from data protection. Data protection highlights the techniques in which one can secure data against unauthenticated access. On the contrary, data privacy talks about who can be given verified and authentic access to such sensitive and confidential data. To top it all up, it can be highlighted that privacy being a fundamental human right which is of utmost importance in today's world among the new-fangled, is recognised in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and in numerous regional and human rights conventionalities across the globe. This paper, discusses and throws light on some of the major parameters and features of history, statistics, privacy policies, and related analyses. [ABSTRACT FROM AUTHOR]

The Internet of Things (smart things) is used in many sectors and applications due to recent technological advances. One of such application is in the transportation system, which is of primary use for the users to move from one place to another place. The smart devices which were embedded in vehicles are useful for the passengers to solve his/her query, wherein future vehicles will be fully automated to the advanced stage, i.e. future cars with driverless feature. These autonomous cars will help people a lot to reduce their time and increases their productivity in their respective (associated) business. In today's generation and in the near future, privacy preserving and trust will be a major concern among users and autonomous vehicles and hence, this paper will be able to provide clarity for the same. Many attempts in previous decade have provided many efficient mechanisms, but they all work only with vehicles along with a driver. However, these mechanisms are not valid and useful for future vehicles. In this paper, we will use deep learning techniques for building trust using recommender systems and Blockchain technology for privacy preserving. We also maintain a certain level of trust via maintaining the highest level of privacy among users living in a particular environment. In this research, we developed a framework that could offer maximum trust or reliable communication to users over the road network. With this, we also preserve privacy of users during traveling, i.e., without revealing identity of respective users from Trusted Third Parties or even Location Based Service in reaching a destination. Thus, Deep Learning based Blockchain Solution (DLBS) is illustrated for providing an efficient recommendation system. [ABSTRACT FROM AUTHOR]

Internet of Things (IoTs) or Internet Connected Things are changing human's being life a lot (in terms of living or accessibility). IoTs is merging of several "things" for building an infrastructure (like cyber physical systems, smart ecosystems) with using internet (for making communication system) to establish a smart interaction among people, applications and surrounding objects/devices (like Road Side Units, access points, street light, etc.). Together this, Cloud is recognised as a crucial component of IoTs, which is used to provides valuable applications/specific services in several areas like defence, farming, Transportation, home automation, etc. Also, cloud is used to provide storage to these connected devices. Now days, several IoT cloud providers are emerging into the market to increase the need or fulfil need of users/consumers (i.e., by IoT based services). In result, Internet of Things (IoTs) based cloud (or cloud based IoTs) are everywhere in our daily lives/applications like homes, hospitals, streets, prevent fires, and many more beneficial applications. This scenario is known as Internet of Everything. But, using such devices/technology or much involvement of these IoT based clouds create several issues and challenges which has been presented in this article as a literature (in detail). In summary, this work investigates several research issues for future researcher (which are need to be focused), it also provide a direction for future (i.e., with respect to device management, system management, heterogeneity management, data management, tools for analysis, deployment, monitoring, visualization, and research). In last, few challenges also have been discussed that the researchers should take focus on in near future (in the next decade). This article provide a road to future researchers to work in respective area or in Internet of Things (IoTs) based cloud (or cloud based IoTs). [ABSTRACT FROM AUTHOR]

Security and Privacy (S&P) preserved systems play an important role in decision support for Internet-mediated service provision. It is essential (need to be mandatory) to enable systems/users to represent and update their security and maintain privacy with other peers (systems, in open networks) for sharing files, and especially to accessing reliable services in computing/real world scenarios. Privacy and security concerns are highly critical one and required efficient solution from research communities (working in different domains/disciplines around the world). The motto of this very article is to provide apprehensive and rightful information about the existing security and privacy issues, approaches, hurdles, etc. in a plethora of platforms to enhance the data quality in the corresponding processing department. Note that among several issues like trust, efficiency, scalability, security, complexity, etc., especially security and privacy issues (in various computing platforms) have been discussed in this work. The review methodology has led to the successful revelations of the major challenges and necessities for safe and secure privacy in real time. [ABSTRACT FROM AUTHOR]