scholarly journals Big Data Security Issues and Quantum Cryptography for Cloud Computing

2018 ◽  
Vol 180 (34) ◽  
pp. 22-28
Author(s):  
Vijey Thayananthan ◽  
Aiiad Albeshri
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Quantum Cryptography ◽  
Data Security ◽  
Security Issues

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.

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.

scholarly journals A centralized secure plan for detecting and mitigation incidents in hybrid SDN

2018 ◽  
Vol 189 ◽  
pp. 10015 ◽  
Author(s):  
Karim Zkik ◽  
Said EL Hajji ◽  
Ghizlane Orhanou
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
New Technologies ◽  
Software Defined Network ◽  
Centralized Control ◽  
Security Issues ◽  
Technology Sector ◽  
Network Equipment ◽  
Infrastructure Services ◽  
Hybrid Sdn

The information technology sector has experienced phenomenal growth during recent years. To follow this development many new technologies have emerged to satisfy the expectations of businesses and customers, such as Cloud Computing, mobility, virtualization, Internet of things and big data. Traditional network cannot longer support this growth and suffers more and more in terms of misconfiguration,management and configurations complexity. Software defined network (SDN) architectures can be considered as a big revolution in the field of computer networks, because they offer a centralized control on infrastructure, services and the applications deployed which facilitate configuration and management on the network. The implementation of this type of architecture is not obvious and requires great expertise and good handling and management of network equipment. To remedy this problem the SDN architectures have evolved towards distributed and hybrid architectures. Despites the advantages of using SDN, security issues remain a real obstacle in front of the deployment of this type of architecture. The centralized architecture of this type of networks makes it vulnerable to several types of attacks and intrusions, and the implementation of security equipment generally causes a decrease in performance and increase latency.

Big Data

2020 ◽  
pp. 24-65
Author(s):  
P. Lalitha Surya Kumari
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Data Collection ◽  
Operating Systems ◽  
Data Security ◽  
Map Reduce ◽  
Security Issues ◽  
Big Data Applications

This chapter gives information about the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by big data applications. Big data is one area where we can store, extract, and process a large amount of data. All these data are very often unstructured. Using big data, security functions are required to work over the heterogeneous composition of diverse hardware, operating systems, and network domains. A clearly defined security boundary like firewalls and demilitarized zones (DMZs), conventional security solutions, are not effective for big data as it expands with the help of public clouds. This chapter discusses the different concepts like characteristics, risks, life cycle, and data collection of big data, map reduce components, issues and challenges in big data, cloud secure alliance, approaches to solve security issues, introduction of cybercrime, YARN, and Hadoop components.

Data Security Issues and Solutions in Cloud Computing

2016 ◽  
pp. 2076-2095
Author(s):  
Abhishek Majumder ◽  
Sudipta Roy ◽  
Satarupa Biswas
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Data Security ◽  
Cloud Service ◽  
Third Party ◽  
Service Availability ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Storage And Retrieval ◽  
Security Issues

Cloud is considered as future of Information Technology. User can utilized the cloud on pay-as-you use basis. But many organizations are stringent about the adoption of cloud computing due to their concern regarding the security of the stored data. Therefore, issues related to security of data in the cloud have become very vital. Data security involves encrypting the data and ensuring that suitable policies are imposed for sharing those data. There are several data security issues which need to be addressed. These issues are: data integrity, data intrusion, service availability, confidentiality and non-repudiation. Many schemes have been proposed for ensuring data security in cloud environment. But the existing schemes lag in fulfilling all these data security issues. In this chapter, a new Third Party Auditor based scheme has been proposed for secured storage and retrieval of client's data to and from the cloud service provider. The scheme has been analysed and compared with some of the existing schemes with respect to the security issues. From the analysis and comparison it can be observed that the proposed scheme performs better than the existing schemes.

The Empirical Analysis of Cloud Computing Services among the Hungarian Enterprises

2016 ◽  
pp. 1162-1190
Author(s):  
Peter Sasvari ◽  
Zoltán Nagymate
Keyword(s):  
Cloud Computing ◽  
Information Flow ◽  
Data Security ◽  
Basic Concept ◽  
Remote Access ◽  
Security Issues ◽  
Computing Services ◽  
Cloud Computing Services ◽  
System Breakdown ◽  
The Empirical Analysis

Innovation capability has increasingly been searched by the ICT sector in cloud computing applications recently. This chapter describes the economic potentials of cloud computing and explores the characteristics of its usage among Hungarian enterprises. Although enterprises are aware of the basic concept of cloud computing, they have concerns about its application mainly due to data security issues and the lack of education. The chance of using cloud computing services is mainly facilitated by the creation of easier application and consultation would positively affect their usage. According to microenterprises and corporations, faster information flow and remote access are the key benefits of cloud usage. In the case of small-sized enterprises, the two main advantages are easier system recoverability and a higher level of mobility in case of a system breakdown. For the medium-sized enterprises, remote access and greater data security were the key benefits of using cloud computing services in 2014.

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