Internet of Things (IoT) applications are growing in popularity and utility leading towards more comforts and conveniences with diversified use cases. However, there are security concerns as IoT technology is made up of heterogeneous devices, protocols and standards. Therefore, the environment might have inherent security issues due to lack of an integrated security framework. Security of internet of things applications is thus crucial for the growth of such applications in the real world. Towards this end, we have proposed a series of security schemes in our prior work. In this paper, we proposed an integrated framework for Leveraging Security of Internet of Things Application (LSITA) with Remote Patient Monitoring System (RPMS) use case. The framework is named as Integrated IoT Security Framework which is realized with different schemes to have privacy and end to end security. The framework enables cloud assisted authentication, secure communications among parties involved in IoT application and an improved key sharing model for multi-user data analytics environment. Different security schemes work together with seamless integration. Remote Patient Monitoring System is the case study built to evaluate the proposed framework. Empirical results revealed that the proposed framework has holistic approach to security of IoT applications. It has potential to trigger further research in the area of IoT security.
The Internet of Things (IoT), 5G cellular technology, and Cyber-Physical Systems (CPS) are enabling a wide range of IoT-based application cases that are both intelligent. As one of the most impactful applications of the Internet of Things (IoT), healthcare makes use of AAL (Ambient Assisted Living), mobile health (mHealth), and electronic health (eHealth). Spending on health is a significant portion of people’s income. Traditional medicine is prone to long delays, waste of money and effort, and even death. RVO (Remote Victim Observation) can be utilized to circumvent problems associated with traditional healthcare facilities because of IoT’s intelligence and predictive power. With the help of IoT-based RVO and wearable devices, sensor networks, and other digital infrastructure, we can detect oncoming situations before they become life-threatening or even fatal. IoT integration with healthcare units was demonstrated in order to build a trustworthy, available, and secure RVO system. Secure end to end communication, encryption of RFID data, and privacy protection are all part of the proposed solution. An android wearable watch (Biosensor | Body sensor), a server using REST framework, and a smartphone app to monitor and detect falls, blood pressure, and heart rate are all part of the system. As a bonus, the peace and quiet of this secluded location contribute to the attraction. Using this RVO could improve health care and quality of life, according to an empirical investigation.
Radio frequency is the technology which enables smart labels to things. Thus, even physical things can participate in computing process. It is becoming popular due to its technological innovation and ability to overcome line of sight problem. With Internet of Things (IoT) technology, RFID usage became ubiquitous in smart applications or IoT use the cases like smart education, smart homes, smart healthcare and smart cities to mention a few. Integration of digital and physical worlds is made possible with IoT, RFID and host of other technologies and standards. When connected devices and things are uniquely identified using RFID technology, it is essential to know its utility in authentication process and security challenges thrown as well. RFID tag and RFID reader are involved in wireless communication and identification. RFID tags may carry sensitive information and its vulnerabilities if any are exploited by adversaries. Moreover, heavy computation is involved in RFID-based authentication. To overcome issues like privacy, security and overhead improvements have been proposed as found in the literature. Researchers used cryptographic tools, hash functions and symmetric key encryption for secure RFID communications. However, the level of security is still inadequate. In this paper, we proposed a cloud-based remote RFID authentication scheme with smart home as the case study. The proposed scheme has features like forward secrecy, anonymity and untraceability besides being light weight. It can withstand various security attacks. Our simulation study revealed that the proposed system model and the cloud-based remote RFID authentication scheme are effective in providing privacy and security as part of access control system in smart home IoT use case.
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