TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Four-Layer Robust Storage in Cloud using Privacy Preserving Technique with Reliable Computational Intelligence in Fog-Edge |
| 영문제목(English Title) |
A Four-Layer Robust Storage in Cloud using Privacy Preserving Technique with Reliable Computational Intelligence in Fog-Edge |
| 저자(Author) |
E. Nirmala
S. Muthurajkumar
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| 원문수록처(Citation) |
VOL 14 NO. 09 PP. 3870 ~ 3884 (2020. 09) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The proposed framework of Four Layer Robust Storage in Cloud (FLRSC) architecture involves host server, local host and edge devices in addition to Virtual Machine Monitoring (VMM). The goal is to protect the privacy of stored data at edge devices. The computational intelligence (CI) part of our algorithm distributes blocks of data to three different layers by partially encoded and forwarded for decoding to the next layer using hash and greed Solomon algorithms. VMM monitoring uses snapshot algorithm to detect intrusion. The proposed system is compared with Tiang Wang method to validate efficiency of data transfer with security. Hence, security is proven against the indexed efficiency. It is an important study to integrate communication between local host software and nearer edge devices through different channels by verifying snapshot using lamport mechanism to ensure integrity and security at software level thereby reducing the latency. It also provides thorough knowledge and understanding about data communication at software level with VMM. The performance evaluation and feasibility study of security in FLRSC against three-layered approach is proven over 232 blocks of data with 98% accuracy. Practical implications and contributions to the growing knowledge base are highlighted along with directions for further research.
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| 키워드(Keyword) |
Fog Computing
Edge Computing
Malicious Attacks
distributed computing
Solomon code algorithm
VM-Monitoring and Computing Intelligence
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| 파일첨부 |
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