A dynamic data encryption method based on addressing the data importance on the internet of things

The rapid growth of internet of things (IoT) in multiple areas brings research challenges closely linked to the nature of IoT technology. Therefore, there has been a need to secure the collected data from IoT sensors in an efficient and dynamic way taking into consideration the nature of collected data due to its importance. So, in this paper, a dynamic algorithm has been developed to distinguish the importance of data collected and apply the suitable security approach for each type of data collected. This was done by using hybrid system that combines block cipher and stream cipher systems. After data classification using machine learning classifiers the less important data are encrypted using stream cipher (SC) that use rivest cipher 4 algorithm, and more important data encrypted using block cipher (BC) that use advanced encryption standard algorithm. By applying a performance evaluation using simulation, the proposed method guarantees that it encrypts the data with less central processing unit (CPU) time with improvement in the security over the data by using the proposed hybrid system

Security and blockchain convergence with internet of multimedia things : current trends, research challenges and future directions

The Internet of Multimedia Things (IoMT) orchestration enables the integration of systems, software, cloud, and smart sensors into a single platform. The IoMT deals with scalar as well as multimedia data. In these networks, sensor-embedded devices and their data face numerous challenges when it comes to security. In this paper, a comprehensive review of the existing literature for IoMT is presented in the context of security and blockchain. The latest literature on all three aspects of security, i.e., authentication, privacy, and trust is provided to explore the challenges experienced by multimedia data. The convergence of blockchain and IoMT along with multimedia-enabled blockchain platforms are discussed for emerging applications. To highlight the significance of this survey, large-scale commercial projects focused on security and blockchain for multimedia applications are reviewed. The shortcomings of these projects are explored and suggestions for further improvement are provided. Based on the aforementioned discussion, we present our own case study for healthcare industry: a theoretical framework having security and blockchain as key enablers. The case study reflects the importance of security and blockchain in multimedia applications of healthcare sector. Finally, we discuss the convergence of emerging technologies with security, blockchain and IoMT to visualize the future of tomorrow's applications. © 2020 Elsevier Lt

A survey on IoT trust model frameworks

Funding for open Access charge: Universidad de Málaga / CBUA This work has been partially supported by the projects: BIGPrivDATA (UMA20-FEDERJA-082) from the FEDER Andaluc’ıa 2014-2020 Program. Moreover, we thank Huawei Technologies for their support

A Trust-by-Design Framework for the Internet of Things

The Internet of Things (IoT) is an environment where interconnected entities can interact and can be identifiable, usable, and controllable via the Internet. However, in order to interact among them, such IoT entities must trust each other. Trust is difficult to define because it concerns different aspects and is strongly dependent on the context. For this reason, a holistic approach allowing developers to consider and implement trust in the IoT is highly desirable. Nevertheless, trust is usually considered among different IoT entities only when they have to interact among them. In fact, without considering it during the whole System Developmente Life Cycle (SDLC) there is the possibility that security issues will be raised. In fact, without a clear conception of the possible threats during the development of the IoT entity, the lack of planning can be insufficient in order to protect the IoT entity. For this reason, we believe that it is fundamental to consider trust during the whole SDLC in order to carefully plan how an IoT entity will perform trust decisions and interact with the other IoT entities. To fulfill this goal, in this thesis work, we propose a trust-by-design framework for the IoT that is composed of a K-Model and several transversal activities. On the one hand, the K-Model covers the SDLC from the need phase to the utilization phase. On the other hand, the transversal activities will be implemented differently depending on the phases. A fundamental aspect that we implement in this framework is the relationship that trust has with other related domains such as security and privacy. Thus we will also consider such domains and their characteristics in order to develop a trusted IoT entity