(A) Study on Lightweight Logging System based on Block-fragmentation Algorithm for Edge Cloud

다국어 초록 (Multilingual Abstract)

In the edge cloud, when two types of service providers provide services to users through edge nodes, each service provider has different logging areas. And many logs are generated when resource-limited edge nodes provide services. Due to these characteristics, it’s difficult to access quality of service (QoS) violations and complying with service level agreements (SLAs).
For these reasons, various research for secure logging system has been studied to protect the privacy of users in logs. One of the reasons for high performance is that logs are managed on a cryptographic basis with large unit counts for user privacy. And most studies focus on the Log Chain (LC) structure that preserve the correct order of the log entry. The characteristics of chronologically generated LC can lead to performance degradation. To apply a logging system for privacy on edge clouds, we propose lightweight logging system that also confirm QoS violations and compliance in limited resource edge environment. Based on third-party brokers in the logging system, we propose block-fragmentation algorithm to minimize overhead for calculations. First, a selective separation of logging data in two fragments a public one and a private one. We treat public one as a block size and private one as a fragmentation size. Therefore, we propose a Block-fragmentation algorithm based framework that improves the service availability by reducing the CPU usage. Second, the third-party broker plays a role of confirming QoS violations and compliance between the two providers, thereby securing reliability between the Cloud Service Provider (CSP) and Network Provicer (NP). Consequently, Our proposal system has less processing time than encryption and more data confidentiality than just uniformly fragmented.

Abstract
In this report, by improving the existing logging technique in the edge cloud with limited resources, it reduces the CPU usage to improve the availability of services. Our purpose is to look at confidential data protection by the way of log fragmentation based on confidentiality levels. Using our contributions, it is expected to be improvement of mutual reliability and expansion of business base.

목차 (Table of Contents)

• Chapter 1. Introduction 1
• Chapter 2. Related Works 3
• 2.1 Edge Computing and its avilability issues
• 2.2 Secure logging system
• 2.3 Data-Fragmentation for privacy
• Chapter 3. Proposal of System 7
• 3.1 Concept of proposal of system
• 3.1.1 Edge cloud service models
• 3.1.2 Broker-based logging framework
• 3.2 Block-fragmentation algorithm
• 3.2.1 Confidentiality level
• 3.2.2 The system flow diagram about block-fragmentation algorithm
• 3.3 System Workflow
• 3.4 Data verification and QoS on proposal system
• 3.4.1 QoS Violation and Compliance Check Procedure
• Chapter 4. Experiments and analysis 23
• 4.1 Dataset
• 4.2 Performance Evaluation and Analysis
• Chapter 5. Conclusion and future research 28
• References 29