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Your search keyword '"Tor Morten Groenli"' showing total 3 results
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3 results on '"Tor Morten Groenli"'

1. RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application

Author

Abdullah Lakhan, Orawit Thinnukool, Tor Morten Groenli, and Pattaraporn Khuwuthyakorn

Subjects
blockchain, RBEF, ransomware, delays, sandbox, static and dynamic analysis, Chemical technology, TP1-1185
Abstract

These days, the use of digital healthcare has been growing in practice. Getting remote healthcare services without going to the hospital for essential checkups and reports is easy. It is a cost-saving and time-saving process. However, digital healthcare systems are suffering from security and cyberattacks in practice. Blockchain technology is a promising technology that can process valid and secure remote healthcare data among different clinics. However, ransomware attacks are still complex holes in blockchain technology and prevent many healthcare data transactions during the process on the network. The study presents the new ransomware blockchain efficient framework (RBEF) for digital networks, which can identify transaction ransomware attacks. The objective is to minimize transaction delays and processing costs during ransomware attack detection and processing. The RBEF is designed based on Kotlin, Android, Java, and socket programming on the remote process call. RBEF integrated the cuckoo sandbox static and dynamic analysis application programming interface (API) to handle compile-time and runtime ransomware attacks in digital healthcare networks. Therefore, code-, data-, and service-level ransomware attacks are to be detected in blockchain technology (RBEF). The simulation results show that the RBEF minimizes transaction delays between 4 and 10 min and processing costs by 10% for healthcare data compared to existing public and ransomware efficient blockchain technologies healthcare systems.

Published
2023
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2. Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things

Author

Muhammad Saddam Khokhar, Lei Wang, Abdullah Lakhan, Ali Hassan Sodhro, Sandeep Pirbhulal, Mazhar Ali Dootio, and Tor Morten Groenli

Subjects
Schedule, IoMT, Computer science, workflow, Internet of Things, Data security, Medieteknik, Scheduling (computing), Blockchain, Computer Systems, serverless, Server, Teknik och teknologier, iomt, QA1-939, Humans, Media and Communication Technology, Computer Security, Cost efficiency, business.industry, Applied Mathematics, Quality of service, General Medicine, Computational Mathematics, Datorsystem, Workflow, service selection, Modeling and Simulation, cost-efficient scheduling, Engineering and Technology, The Internet, General Agricultural and Biological Sciences, business, Delivery of Health Care, TP248.13-248.65, Mathematics, Computer network, Biotechnology
Abstract

These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare fog servers. The hospitals are geographically distributed and offer different services to the patients from any ubiquitous network. However, due to the full offloading of data to the insecure servers, two main challenges exist in the IoMT network. (i) Data security of workflows healthcare applications between different fog healthcare nodes. (ii) The cost-efficient and QoS efficient scheduling of healthcare applications in the IoMT system. This paper devises the Cost-Efficient Service Selection and Execution and Blockchain-Enabled Serverless Network for Internet of Medical Things system. The goal is to choose cost-efficient services and schedule all tasks based on their QoS and minimum execution cost. Simulation results show that the proposed outperform all existing schemes regarding data security, validation by 10%, and cost of application execution by 33% in IoMT., Funding information: This work is financially supported by the Research grant of PIFI 2020 (2020VBC0002), China.

Published
2021
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3. Potent Blockchain-Enabled Socket RPC Internet of Healthcare Things (IoHT) Framework for Medical Enterprises

Author

Abdullah Lakhan, Tor Morten Groenli, Arnab Majumdar, Pattaraporn Khuwuthyakorn, Fida Hussain Khoso, and Orawit Thinnukool

Subjects
Internet, 0602 Ecology, Internet of Things, 0805 Distributed Computing, Cloud Computing, Biochemistry, Atomic and Molecular Physics, and Optics, Analytical Chemistry, socket, RPC, SOA, CORBA, RMI, IoHT, blockchain, client–server, 0906 Electrical and Electronic Engineering, Blockchain, Humans, 0502 Environmental Science and Management, Electrical and Electronic Engineering, 0301 Analytical Chemistry, Delivery of Health Care, Instrumentation, Computer Security
Abstract

Present-day intelligent healthcare applications offer digital healthcare services to users in a distributed manner. The Internet of Healthcare Things (IoHT) is the mechanism of the Internet of Things (IoT) found in different healthcare applications, with devices that are attached to external fog cloud networks. Using different mobile applications connecting to cloud computing, the applications of the IoHT are remote healthcare monitoring systems, high blood pressure monitoring, online medical counseling, and others. These applications are designed based on a client–server architecture based on various standards such as the common object request broker (CORBA), a service-oriented architecture (SOA), remote method invocation (RMI), and others. However, these applications do not directly support the many healthcare nodes and blockchain technology in the current standard. Thus, this study devises a potent blockchain-enabled socket RPC IoHT framework for medical enterprises (e.g., healthcare applications). The goal is to minimize service costs, blockchain security costs, and data storage costs in distributed mobile cloud networks. Simulation results show that the proposed blockchain-enabled socket RPC minimized the service cost by 40%, the blockchain cost by 49%, and the storage cost by 23% for healthcare applications.

Published
2022
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