التفاصيل البيبلوغرافية
| العنوان: |
iAAP: INTERDEPENDENCY ATTRIBUTE AUTHENTICATION PROTOCOL FOR IoMT SYSTEMS SECURITY ENHANCEMENT AND ANALYSIS. |
| المؤلفون: |
R., Sindhuja, Kapse, Arvind S. |
| المصدر: |
Malaysian Journal of Computer Science; 2023 Special Issue, Vol. 36, p107-114, 8p |
| مصطلحات موضوعية: |
MACHINE learning, NEAR field communication, SECURITY systems, SYSTEMS design, CLOUD storage, DATA transmission systems |
| الشركة/الكيان: |
AMAZON Web Services Inc. |
| مستخلص: |
Internet has changed and evolved since its origin and in recent time the communication channel for the internet has developed a flexible system design to accommodate newer devices and customized services. Internet of Medical Things (IoMT) is one such blooming service for larger data processing and customization. In this paper, we propose a novel interdependency attribute protocol for authentication and enhancing security aspects of IoMT communication. The protocol is developed on remote monitoring and Message Queuing Telemetric Transport (MQTT) protocol foundation values to secure data transmission and communication via active public domain internet and cloud storage. The approach is developed on machine learning models for attribute customization and classification. The model has been validated with AWS open pipeline cloud platforms for IoMT devices customization. The IoMT device cloud server evaluation and authentication via interdependency attribute protocol has outperformed the existing security models and analysis with Machine learning tools. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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