A Computational Framework for Cyber Threats in Medical IoT Systems

Abstract

Smart social systems are ones where a number of individuals share and interact with each other via various networking devices. There exist a number of benefits to including smart-based systems in networks such as religions, economy, medicine, and other networks. However, the involvement of several cyber threats leads to adverse effects on society in terms of finance, business, liability, economy, psychology etc. The aim of this paper is to present a secure and efficient medical Internet of Things communication mechanism by preventing various cyber threats. The proposed framework uses Artificial Intelligence-based techniques such as Levenberg–Marquardt (LM) and Viterbi algorithms to prevent various social cyber threats during interaction and sharing of messages. The proposed mechanism is simulated and validated with various performance metrics compared with the traditional mechanism.

Current Status and Challenges of IoT Research in the Ecuadorian Healthcare Sector: A Systematic Literature Review

“…Note that some references are cited in several areas. Health Medicine [1], [2], [10], [31], [41], [12], [33], [38] Medicine/nursing and midwifery [29], [8] Wellness Care of the elderly and adults with disabilities [32], [11], [4], [30] Social assistance and advice [40] Health & Wellness Medicine / care of the elderly and adults with disabilities [9], [10], [42], [34], [35], [37], [39], [44], [43], [45] The devices for assistance and technology for vulnerable groups demonstrate concern for developing assistive technology devices and managing medication-taking programs for these population groups [30]. These efforts highlight the practical application of IoT to improve the quality of life.…”

“…Data privacy and security [3], [10], [11], [12], [29], [35], [36], [41], [44] Device interoperability [41] Regulatory compliance [12], [35] Implementation costs [9], [41] Management of large volumes of data [12], [35] Technical faults and reliability [3], [9], [11], [29], [32], [41], [43], [45] Scalability [35], [38], [41] Ethics in data collection and use [29], [35] Regarding the challenges in implementing IoT-based health systems, most of them generally mention that privacy and data security emerge as crucial challenges. They focus on protecting the confidential patient information and highlight limitations in the security protocols, emphasizing the need for robust approaches to safeguard information [3], [10], [11], [12], [29], [35], [36], [41], [44].…”

“…Managing large volumes of data is another challenge, emphasizing the importance of efficient solutions for data collection, storage, and analysis using artificial intelligence techniques [12], [35]. Reliability and technical failures are also highlighted, underscoring the need for robust and dependable systems to ensure consistent and secure performance in critical healthcare environments [3], [9], [11], [29], [32], [41], [43], [45].…”

Cybersecurity in Internet of Medical Vehicles: State-of-the-Art Analysis, Research Challenges and Future Perspectives

“…Therefore, these IOMV systems are more prone to attacks from hackers located across their travel paths since the communication connections vary, with several en route network points, signal towers, gateway devices, etc. [33,34]. In addition to this, there are no defined standard regulations or guidelines for vehicle-interconnected networks or interconnection protocols for medical devices, including standardised medical devices, which can be used in futuristic IOT applications like the IOMV.…”

“…This can be achieved through collaborations among researchers, relevant industries, various organisations, and standardisation bodies. The security and privacy of these interconnected networks still have potential risks [47] and addressing these issues [33] of cybersecurity is the need of the hour and has enormous potential for research at various levels [127] of interconnected networks [29].…”