research-article

Designing encryption and IDS for cloud security

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Nandita SenguptaAuthors Info & Claims

ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing

Article No.: 58, Pages 1 - 5

https://doi.org/10.1145/3018896.3018954

Published: 22 March 2017 Publication History

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Abstract

Usage of data is increasing exponentially with advancement of network and internet technologies. Cloud is becoming popular to save such enormous data along with facilities of using infrastructure, software and platform. Though cloud has many advantages but security is the biggest challenging factor in cloud. Cloud security includes the security in cloud client side, server side and when data is in transmission. Data is most vulnerable when data is in server as well as when data is in transmission medium. In this paper, two tier architecture of security system is proposed for cloud data. In the first tier, encryption is provided to secure data when the same is in medium. Encrypted data will be stored in server. In the second tier, Support Vector Machine based intrusion detection system is designed for cloud server to detect intruder.

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Cited By

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Arunarani AVijayagopal VKartheesan LDwivedi VA RNishant N(2024)Securing Neural Network in the Cloud: A Systematic Approach of Cloud Security Based on ANN-SVM Model2024 4th International Conference on Sustainable Expert Systems (ICSES)10.1109/ICSES63445.2024.10763230(1644-1649)Online publication date: 15-Oct-2024
https://doi.org/10.1109/ICSES63445.2024.10763230
Hooda SLamba VKaur A(2021)AI and Soft Computing Techniques for Securing Cloud and Edge Computing: A Systematic Review2021 5th International Conference on Information Systems and Computer Networks (ISCON)10.1109/ISCON52037.2021.9702422(1-5)Online publication date: 22-Oct-2021
https://doi.org/10.1109/ISCON52037.2021.9702422
Nassif ATalib MNasir QAlbadani HDakalbab F(2021)Machine Learning for Cloud Security: A Systematic ReviewIEEE Access10.1109/ACCESS.2021.30541299(20717-20735)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3054129
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Published In

ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing

March 2017

1349 pages

ISBN:9781450347747

DOI:10.1145/3018896

General Chair:
Hani Hamdan
University of Paris-Saclay, Paris, France
,
Program Chairs:
Homero Toral-Cruz
University of Quintana Roo, Mexico
,
Sedat Akleylek
Ondokuz Mayis University, Turkey
,
Hamid Mcheick
Université du Québec, Canada
,
Publications Chair:
Djallel Eddine Boubiche
University of Batna, Algeria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 22 March 2017

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ICC '17

ICC '17: Second International Conference on Internet of Things, Data and Cloud Computing

March 22 - 23, 2017

Cambridge, United Kingdom

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ICC '17 Paper Acceptance Rate 213 of 590 submissions, 36%;

Overall Acceptance Rate 213 of 590 submissions, 36%

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Arunarani AVijayagopal VKartheesan LDwivedi VA RNishant N(2024)Securing Neural Network in the Cloud: A Systematic Approach of Cloud Security Based on ANN-SVM Model2024 4th International Conference on Sustainable Expert Systems (ICSES)10.1109/ICSES63445.2024.10763230(1644-1649)Online publication date: 15-Oct-2024
https://doi.org/10.1109/ICSES63445.2024.10763230
Hooda SLamba VKaur A(2021)AI and Soft Computing Techniques for Securing Cloud and Edge Computing: A Systematic Review2021 5th International Conference on Information Systems and Computer Networks (ISCON)10.1109/ISCON52037.2021.9702422(1-5)Online publication date: 22-Oct-2021
https://doi.org/10.1109/ISCON52037.2021.9702422
Nassif ATalib MNasir QAlbadani HDakalbab F(2021)Machine Learning for Cloud Security: A Systematic ReviewIEEE Access10.1109/ACCESS.2021.30541299(20717-20735)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3054129
Sengupta N(2018)Security and Privacy at Cloud SystemCloud Computing for Optimization: Foundations, Applications, and Challenges10.1007/978-3-319-73676-1_9(207-234)Online publication date: 27-Feb-2018
https://doi.org/10.1007/978-3-319-73676-1_9

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Abstract

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Different facets of security in the cloud

A combined approach to ensure data security in cloud computing

Controlled Intelligent Agents' Security Model for Multi-Tenant Cloud Computing Infrastructures

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