Chaos Theory and Systems in Cloud Content Security

2019 ◽  
pp. 367-390
Author(s):  
Kanksha Zaveri ◽  
Niti Shah ◽  
Ramchandra S. Mangrulkar
Keyword(s):  
Cloud Computing ◽  
Chaos Theory ◽  
Initial Conditions ◽  
Random Number Generation ◽  
Third Party ◽  
Confidential Data ◽  
Server Systems ◽  
And Diffusion ◽  
Confusion And Diffusion ◽  
Multi Server

Cloud computing involves storing data using a third party that ensures that confidential data cannot be accessed even by the cloud itself. Thus, security is one major issue in cloud computing. Recent advancements in exploiting chaotic systems' sensitivity to initial conditions, and their ability to extract strings of random numbers for confusion and diffusion have helped enhance security. They can provide resistance from statistical attack and protection against reconstruction dynamics. However, the concept of chaos for security is still in its emerging stages. This chapter presents how chaos theory can be used for random number generation to further secure data in the cloud. The authors have discussed and compared some popular methods for authentication and encryption of data, images, and videos. The overview of chaos engineering discusses the discipline of experimenting on multi-server systems to ensure its ability to tackle glitches.

A New Image Encryption Scheme Using Dual Chaotic Map Synchronization

2020 ◽  
Vol 18 (1) ◽  
Keyword(s):  
Image Encryption ◽  
Chaotic Systems ◽  
Initial Conditions ◽  
Chaotic Map ◽  
Security Applications ◽  
The Common ◽  
And Diffusion ◽  
Confusion And Diffusion ◽  
Sensitivity To Initial Conditions ◽  
Diffusion Properties

Chaotic systems behavior attracts many researchers in the field of image encryption. The major advantage of using chaos as the basis for developing a crypto-system is due to its sensitivity to initial conditions and parameter tunning as well as the random-like behavior which resembles the main ingredients of a good cipher namely the confusion and diffusion properties. In this article, we present a new scheme based on the synchronization of dual chaotic systems namely Lorenz and Chen chaotic systems and prove that those chaotic maps can be completely synchronized with other under suitable conditions and specific parameters that make a new addition to the chaotic based encryption systems. This addition provides a master-slave configuration that is utilized to construct the proposed dual synchronized chaos-based cipher scheme. The common security analyses are performed to validate the effectiveness of the proposed scheme. Based on all experiments and analyses, we can conclude that this scheme is secure, efficient, robust, reliable, and can be directly applied successfully for many practical security applications in insecure network channels such as the Internet

scholarly journals On the Sanctuary of a Combined Confusion and Diffusion based scheme for Image Encryption

2019 ◽  
Vol 9 (1) ◽  
pp. 3258-3263 ◽  
Keyword(s):  
Image Encryption ◽  
Initial Conditions ◽  
Random Sequence ◽  
Multimedia Data ◽  
Hadamard Transformation ◽  
Key Length ◽  
Two Stages ◽  
Sequence Generator ◽  
And Diffusion ◽  
Confusion And Diffusion

Confusion and diffusion are the frequently used embryonics in multimedia (image) encryption systems. Multimedia data protection against cryptanalysis can be effectually fortified by these techniques. Due to inherent properties of images such as high inter-pixel redundancy and bulk data capacity, encryption is performed in two stages: Confusion and Diffusion. In this article, a combined Pseudo Hadamard transformation in the confusion stage and Gingerbreadman chaotic substitution in the diffusion stage are used in the encryption phase of the algorithm. The strong correlation between contiguous elements in the host image is effectually reduced using Pseudo Hadamard transformation and entropy in the cipher image is enhanced using Gingerbreadman chaotic substitution. Secrete key length used in the algorithm is 128 bits, these are the initial conditions for Gingerbreadman chaotic generator. The elements of S-box in the substitution stage are considered from this random sequence generator. Experimental exploration including information entropy, correlation analysis, sensitivity analysis, key space analysis and computational complexity have been performed on set of standard images. Results obtained are better compared to many existing systems.

scholarly journals Cloud Computing Security Issues - Challenges and Opportunities

2016 ◽  
pp. 33-42 ◽  
Author(s):  
Vaikunth Pai T. ◽  
P.S. Aithal
Keyword(s):  
Cloud Computing ◽  
Third Party ◽  
Information Communication ◽  
Service Model ◽  
Security Issues ◽  
Computing Services ◽  
Cloud Computing Service ◽  
Confidential Data ◽  
Challenges And Opportunities ◽  
Cloud Computing Services

Cloud computing services enabled through information communication technology delivered to a customer as services over the Internet on a leased basis have the capability to extend up or down their service requirements or needs. In this model, the infrastructure is owned by a third party vendor and the cloud computing services are delivered to the requested customers. Cloud computing model has many advantages including scalability, flexibility, elasticity, efficiency, and supports outsourcing noncore activities of an organization. Cloud computing offers an innovative business concept for organizations to adopt IT enabled services without advance investment. This model enables convenient, on-request network accessibility to a shared pool of IT computing resources like networks, servers, storage, applications, and services. Cloud computing can be quickly provisioned and released with negligible management exertion or service provider interaction. Even though organizations get many benefits of cloud computing services, many organizations are slow in accepting cloud computing service model because of security concerns and challenges associated with management of this technology. Security, being the major issues which hinder the growth of cloud computing service model due to the provision of handling confidential data by the third party is risky such that the consumers need to be more attentive in understanding the risks of data breaches in this new environment. In this paper, we have discussed the security issues, the challenges and the opportunities in the adoption and management of cloud computing services model in an organization.

scholarly journals Third-party induced cyber incidents—much ado about nothing?

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Michel Benaroch
Keyword(s):  
Cloud Computing ◽  
Empirical Research ◽  
Service Providers ◽  
Equity Returns ◽  
Third Party ◽  
Public Firms ◽  
Much Ado About Nothing ◽  
The Third ◽  
Confidential Data ◽  
Client Firm

Abstract Growing reliance on third-party services, such as cloud computing, is believed to increase client firms’ exposure to third-party induced cyber incidents. However, we lack empirical research on the prevalence and scale of third-party induced cyber incidents. Moreover, we do not know who pays more of the price for experiencing these incidents—the client firm and/or the third-party provider firm. We study these questions using a sample of 1397 cyber incidents in public firms between 2000 and 2020 of which 246 are third-party induced incidents. Our findings offer several novel insights. Third-party induced cyber incidents are not growing in prevalence any faster than other incidents, but they do compromise greater volumes of confidential data per incident. As to the price paid for third-party induced incidents, the picture is more nuanced. Client (first-party) firms suffer drops in equity returns that are comparable to those for homegrown incidents, while small third-party provider firms suffer significantly larger drops in equity returns and large third-party provider firms do not suffer a discernible drop in equity returns. We discuss implications of these findings for client firms and service providers.

Fog/Cloud Service Scalability, Composition, Security, Privacy, and SLA Management

2021 ◽  
pp. 1822-1840
Author(s):  
Shweta Kaushik ◽  
Charu Gandhi
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Third Party ◽  
Security And Privacy ◽  
New Era ◽  
Data Owner ◽  
Confidential Data

Cloud computing has started a new era in the field of computing, which allows the access of remote data or services at anytime and anywhere. In today's competitive environment, the service dynamism, elasticity, and choices offered by this highly scalable technology are too attractive for enterprises to ignore. The scalability feature of cloud computing allows one to expand and contract the resources. The owner's data stored at the remote location, but he is usually afraid of sharing confidential data with cloud service provider. If the service provider is not the trusted one, there may be a chance of leakage of confidential data to external third party. Security and privacy of data require high consideration, which is resolved by storing the data in encrypted form. Data owner requires that the service provider should be trustworthy to store its confidential data without any exposure. One of the outstanding solutions for maintaining trust between different communicating parties could be the service level agreement between them.

Fog/Cloud Service Scalability, Composition, Security, Privacy, and SLA Management

2019 ◽  
pp. 38-62
Author(s):  
Shweta Kaushik ◽  
Charu Gandhi
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Third Party ◽  
Security And Privacy ◽  
New Era ◽  
Data Owner ◽  
Confidential Data

Cloud computing has started a new era in the field of computing, which allows the access of remote data or services at anytime and anywhere. In today's competitive environment, the service dynamism, elasticity, and choices offered by this highly scalable technology are too attractive for enterprises to ignore. The scalability feature of cloud computing allows one to expand and contract the resources. The owner's data stored at the remote location, but he is usually afraid of sharing confidential data with cloud service provider. If the service provider is not the trusted one, there may be a chance of leakage of confidential data to external third party. Security and privacy of data require high consideration, which is resolved by storing the data in encrypted form. Data owner requires that the service provider should be trustworthy to store its confidential data without any exposure. One of the outstanding solutions for maintaining trust between different communicating parties could be the service level agreement between them.

Fog/Cloud Service Scalability, Composition, Security, Privacy, and SLA Management

2021 ◽  
pp. 1352-1370
Author(s):  
Shweta Kaushik ◽  
Charu Gandhi
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Third Party ◽  
Security And Privacy ◽  
New Era ◽  
Data Owner ◽  
Confidential Data

Cloud computing has started a new era in the field of computing, which allows the access of remote data or services at anytime and anywhere. In today's competitive environment, the service dynamism, elasticity, and choices offered by this highly scalable technology are too attractive for enterprises to ignore. The scalability feature of cloud computing allows one to expand and contract the resources. The owner's data stored at the remote location, but he is usually afraid of sharing confidential data with cloud service provider. If the service provider is not the trusted one, there may be a chance of leakage of confidential data to external third party. Security and privacy of data require high consideration, which is resolved by storing the data in encrypted form. Data owner requires that the service provider should be trustworthy to store its confidential data without any exposure. One of the outstanding solutions for maintaining trust between different communicating parties could be the service level agreement between them.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

A Group Collaboratable Proof of Retrievability Scheme for Cloud Data Storage

2014 ◽  
Vol 13 (7) ◽  
pp. 4625-4632
Author(s):  
Jyh-Shyan Lin ◽  
Kuo-Hsiung Liao ◽  
Chao-Hsing Hsu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Service ◽  
Third Party ◽  
Group Collaboration ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Important Trend ◽  
Data Update ◽  
Proof Of Retrievability

Cloud computing and cloud data storage have become important applications on the Internet. An important trend in cloud computing and cloud data storage is group collaboration since it is a great inducement for an entity to use a cloud service, especially for an international enterprise. In this paper we propose a cloud data storage scheme with some protocols to support group collaboration. A group of users can operate on a set of data collaboratively with dynamic data update supported. Every member of the group can access, update and verify the data independently. The verification can also be authorized to a third-party auditor for convenience.

Image cipher using image filtering with 3D DNA-based confusion and diffusion strategy

2021 ◽  
Author(s):  
Zhihua Gan ◽  
Xiuli Chai ◽  
Xiangcheng Zhi ◽  
Wenke Ding ◽  
Yang Lu ◽  
...  
Keyword(s):  
Image Filtering ◽  
Image Cipher ◽  
And Diffusion ◽  
Confusion And Diffusion
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