Cryptography in Big Data Security

2019 ◽  
pp. 639-656
Author(s):  
Navin Jambhekar ◽  
Chitra Anil Dhawale
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Security ◽  
Data Security ◽  
Computing System ◽  
Mobile Client ◽  
Security Issues ◽  
Cloud Computing System ◽  
Cloud Server ◽  
Encrypted Search

Information security is a prime goal for every individual and organization. The travelling from client to cloud server can be prone to security issues. The big data storages are available through cloud computing system to facilitate mobile client. The information security can be provided to mobile client and cloud technology with the help of integrated parallel and distributed encryption and decryption mechanism. The traditional technologies include the plaintext stored across cloud and can be prone to security issues. The solution provided by applying the encrypted data upload and encrypted search. The clouds can work in collaboration; therefore, the encryption can also be done in collaboration. Some part of encryption handle by client and other part handled by cloud system. This chapter presents the security scenario of different security algorithms and the concept of mobile and cloud computing. This chapter precisely defines the security features of existing cloud and big data system and provides the new framework that helps to improve the data security over cloud computing and big data security system.

Cryptography in Big Data Security

2018 ◽  
pp. 71-94
Author(s):  
Navin Jambhekar ◽  
Chitra Anil Dhawale
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Security ◽  
Data Security ◽  
Computing System ◽  
Mobile Client ◽  
Security Issues ◽  
Cloud Computing System ◽  
Cloud Server ◽  
Encrypted Search

Information security is a prime goal for every individual and organization. The travelling from client to cloud server can be prone to security issues. The big data storages are available through cloud computing system to facilitate mobile client. The information security can be provided to mobile client and cloud technology with the help of integrated parallel and distributed encryption and decryption mechanism. The traditional technologies include the plaintext stored across cloud and can be prone to security issues. The solution provided by applying the encrypted data upload and encrypted search. The clouds can work in collaboration; therefore, the encryption can also be done in collaboration. Some part of encryption handle by client and other part handled by cloud system. This chapter presents the security scenario of different security algorithms and the concept of mobile and cloud computing. This chapter precisely defines the security features of existing cloud and big data system and provides the new framework that helps to improve the data security over cloud computing and big data security system.

The Research Based on Security Model and Cloud Computing Strategy

2013 ◽  
Vol 846-847 ◽  
pp. 1600-1603
Author(s):  
Ao Qiu Pei ◽  
Min Yang ◽  
Yan Bin Tang
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Computing System ◽  
Internet Security ◽  
Security Model ◽  
Security Threat ◽  
Security Issues ◽  
Implementation Model ◽  
Cloud Computing System ◽  
Core Elements

Cloud computing based on a large number of distributed computer gathers a wide variety of computing resources data and builds huge virtual resources space and provides information technology resources for the majority of computer users through the Internet. Security issues is one of the core elements which constrains the depth development of cloud computing. It also is the hot issue of research in this field. This paper first analyzes the architecture and threat signatures of cloud computing system and data application model based on the data of cloud computing and data security threat characteristics. It builds a data security implementation model under cloud computing. Based on this, it builds information security model of cloud computing strategy and analyzes configuration program of the model in the cloud computing.

A Pattern-Based and Tool-Supported Risk Analysis Method Compliant to ISO 27001 for Cloud Systems

2015 ◽  
Vol 6 (1) ◽  
pp. 24-46
Author(s):  
Azadeh Alebrahim ◽  
Denis Hatebur ◽  
Stephan Fassbender ◽  
Ludger Goeke ◽  
Isabelle Côté
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Risk Analysis ◽  
Computing System ◽  
Security Requirements ◽  
Analysis Method ◽  
Computing Systems ◽  
Cloud Systems ◽  
Cloud Computing System ◽  
Iso 27001

To benefit from cloud computing and the advantages it offers, obstacles regarding the usage and acceptance of clouds have to be cleared. For cloud providers, one way to obtain customers' confidence is to establish security mechanisms when using clouds. The ISO 27001 standard provides general concepts for establishing information security in an organization. Risk analysis is an essential part in the ISO 27001 standard for achieving information security. This standard, however, contains ambiguous descriptions. In addition, it does not stipulate any method to identify assets, threats, and vulnerabilities. In this paper, the authors present a method for cloud computing systems to perform risk analysis according to the ISO 27001. The authors' structured method is tailored to SMEs. It relies upon patterns to describe context and structure of a cloud computing system, elicit security requirements, identify threats, and select controls, which ease the effort for these activities. The authors' method guides companies through the process of risk analysis in a structured manner. Furthermore, the authors provide a model-based tool for supporting the ISO 27001 standard certification. The authors' tool consists of various plug-ins for conducting different steps of their method.

scholarly journals Big Data Handling Approach for Unauthorized Access of Cloud Computing

2021 ◽  
Author(s):  
Abdul Razaque ◽  
Shaldanbayeva Nazerke ◽  
Bandar Alotaibi ◽  
Munif Alotaibi ◽  
Akhmetov Murat ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Access Control ◽  
Intrusion Detection ◽  
Data Access ◽  
Computing System ◽  
Data Handling ◽  
Unauthorized Access ◽  
Data Access Control ◽  
Cloud Computing System

Nowadays, cloud computing is one of the important and rapidly growing paradigms that extend its capabilities and applications in various areas of life. The cloud computing system challenges many security issues, such as scalability, integrity, confidentiality, and unauthorized access, etc. An illegitimate intruder may gain access to the sensitive cloud computing system and use the data for inappropriate purposes that may lead to losses in business or system damage. This paper proposes a hybrid unauthorized data handling (HUDH) scheme for Big data in cloud computing. The HUDU aims to restrict illegitimate users from accessing the cloud and data security provision. The proposed HUDH consists of three steps: data encryption, data access, and intrusion detection. HUDH involves three algorithms; Advanced Encryption Standards (AES) for encryption, Attribute-Based Access Control (ABAC) for data access control, and Hybrid Intrusion Detection (HID) for unauthorized access detection. The proposed scheme is implemented using Python and Java language. Testing results demonstrate that the HUDH can delegate computation overhead to powerful cloud servers. User confidentiality, access privilege, and user secret key accountability can be attained with more than 97% high accuracy.

Current State Survey and Future Opportunities for Trust and Security in Green Cloud Computing

2018 ◽  
pp. 1669-1693
Author(s):  
Amine Haouari ◽  
Zbakh Mostapha ◽  
Samadi Yassir
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Security And Privacy ◽  
Security Issues ◽  
Current State ◽  
New Concepts ◽  
Cloud Computing System ◽  
Architectural Principles ◽  
Computing Environments ◽  
Delivery Models

In this paper, the authors present a state of art survey of cloud computing, highlighting its architectural principles, implementation as well as research directions in this increasingly important domain. They cover the different security issues that has emanated due to the nature of the service delivery models of a cloud computing system. Furthermore, in this survey the researchers highlight the concept of trust in digital environment as well as the use of containers like Docker, the block chain principle, artificial intelligence, last findings in the field of cryptography and other new concepts used in the domain of security and privacy related to cloud computing environments. They provide in the end an overview of the metrics which are mandatory in order to have a green flavor of cloud computing and the strategies that are currently used.

scholarly journals Potentials of Fog Computing in Higher Education

2019 ◽  
Vol 14 (18) ◽  
pp. 194 ◽  
Author(s):  
Arumugam So Raman
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Computing System ◽  
Modern Technology ◽  
Internet Usage ◽  
Computing Technology ◽  
Security Issues ◽  
The People ◽  
Cloud Computing System ◽  
The Difference

This paper is documenting the potential of Fog Computing in Education. First, this study explores the difference between cloud computing and Fog Computing. Then the features of computing explained briefly. A tremendous increase in Internet usage among the people does not allow the sustainability to continue depending on Cloud Computing as a centralized web server, due to the truth that Cloud Computing system allows access to internet data as well as therefore making it feasible for users to availability, share along with store information in remote servers. With Fog Computing, multiple users, gadgets such as automobiles, wearable gizmos, sensing units, wise gadgets, an organization can accept one another utilizing their very own Fog facilities. In the educational sector, Fog computing technology boosts educational operations and provides a platform with agility, versus slowing them down or quitting them. Fog computing is a modern technology that is set for high development in the future, as well as will substantially improve day-to-day procedures for many sectors, including education. Finally, security issues and challenges of implementation Fog computing discussed.

scholarly journals Dynamic Secure Interconnection for Security Enhancement in Cloud Computing

2016 ◽  
Vol 11 (3) ◽  
pp. 348 ◽  
Author(s):  
Liwen He ◽  
Feiyi Huang ◽  
Jie Zhang ◽  
Bin Liu ◽  
Chunling Chen ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Service Provisioning ◽  
Efficiency Improvement ◽  
Resource Pooling ◽  
Security Issues ◽  
Security Enhancement ◽  
On Demand ◽  
Cloud Computing System ◽  
Demand Service

Cloud computing brings efficiency improvement on resource utilization nd other benefits such as on-demand service provisioning, location independence and biquitous access, elastic resource pooling, pay as usage pricing mode, etc. However, t also introduces new security issues because the data management and ownership re separated, and the management is operated on a virtualized platform. In this paper,  novel dynamic secure interconnection (DSI) mechanism is proposed to isolate he cloud computing system into a couple of dynamic virtual trust zones with different ecurity policies implemented for different customers so as to enhance security. xperimental results are presented to demonstrate the feasibility and effectiveness of he DSI mechanism.

Current State Survey and Future Opportunities for Trust and Security in Green Cloud Computing

2018 ◽  
pp. 83-113 ◽  
Author(s):  
Amine Haouari ◽  
Zbakh Mostapha ◽  
Samadi Yassir
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Security And Privacy ◽  
Security Issues ◽  
Current State ◽  
New Concepts ◽  
Cloud Computing System ◽  
Architectural Principles ◽  
Computing Environments ◽  
Delivery Models

In this paper, the authors present a state of art survey of cloud computing, highlighting its architectural principles, implementation as well as research directions in this increasingly important domain. They cover the different security issues that has emanated due to the nature of the service delivery models of a cloud computing system. Furthermore, in this survey the researchers highlight the concept of trust in digital environment as well as the use of containers like Docker, the block chain principle, artificial intelligence, last findings in the field of cryptography and other new concepts used in the domain of security and privacy related to cloud computing environments. They provide in the end an overview of the metrics which are mandatory in order to have a green flavor of cloud computing and the strategies that are currently used.

A Pattern-Based and Tool-Supported Risk Analysis Method Compliant to ISO 27001 for Cloud Systems

2015 ◽  
pp. 730-747
Author(s):  
Azadeh Alebrahim ◽  
Denis Hatebur ◽  
Stephan Fassbender ◽  
Ludger Goeke ◽  
Isabelle Côté
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Risk Analysis ◽  
Computing System ◽  
Security Requirements ◽  
Analysis Method ◽  
Computing Systems ◽  
Cloud Systems ◽  
Cloud Computing System ◽  
Iso 27001

To benefit from cloud computing and the advantages it offers, obstacles regarding the usage and acceptance of clouds have to be cleared. For cloud providers, one way to obtain customers' confidence is to establish security mechanisms when using clouds. The ISO 27001 standard provides general concepts for establishing information security in an organization. Risk analysis is an essential part in the ISO 27001 standard for achieving information security. This standard, however, contains ambiguous descriptions. In addition, it does not stipulate any method to identify assets, threats, and vulnerabilities. In this paper, the authors present a method for cloud computing systems to perform risk analysis according to the ISO 27001. The authors' structured method is tailored to SMEs. It relies upon patterns to describe context and structure of a cloud computing system, elicit security requirements, identify threats, and select controls, which ease the effort for these activities. The authors' method guides companies through the process of risk analysis in a structured manner. Furthermore, the authors provide a model-based tool for supporting the ISO 27001 standard certification. The authors' tool consists of various plug-ins for conducting different steps of their method.

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