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A Secure Data Classification Model in Cloud Computing Using Machine Learning Approach
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- 발행기관
- 보안공학연구지원센터(IJGDC) 바로가기
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- 간행물
- International Journal of Grid and Distributed Computing SCOPUS 바로가기
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- 통권
- Vol.9 No.8 (2016.08)바로가기
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- 페이지
- pp.13-22
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A284156
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Cloud computing offers numerous benefits including scalability, availability and many services. But with its wide acceptance all over the globe, new risks and vulnerabilities have appeared too. Cloud computing provides facility of storing and accessing information and programs over the web without bothering the storage space on system. Storing the data on cloud eliminates one’s worries about space considerations, buying new storage equipment or managing their data, rather they are able to access their data any time from any place provided they have internet access. But the rising security problems have resisted the organizations from connecting with cloud computing completely. Hence security risks have appeared as the main disadvantage of cloud computing. This paper involves the efforts to analyze the security issues and then proposes a framework to address these security issues at the authentication and storage level in cloud computing. While addressing the security issues the first and the foremost thing is to classify what data needs security and what data needn't bother with security and hence data gets classified into two classes sensitive and non-sensitive. To achieve data classification, a data classification approach based on the confidentiality of data is proposed in this paper. Following that an efficient security mechanism has to be deployed by means of encryption, authentication, and authorization or by some other method to ensure the privacy of consumer’s data on cloud storage.
목차
Abstract
1. Introduction
2. Prior Work
3. The Proposed Work
3.1 Image Sequencing Password Authentication
3.2 Data Classification
3.3 Data hiding Architecture
4. Experiments and Results
4.1 Simulation and Analysis
5. Conclusion and Future Scope
Acknowledgments
References
키워드
Cloud Computing; security issues privacy preserving Integrity confidentiality availability graphical passwords저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Grid and Distributed Computing
- 간기
- 격월간
- pISSN
- 2005-4262
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.9 No.8
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